Over the past three decades I have been fortunate to work in three long-term programmes in Aotearoa New Zealand, focused on high country land management (1993–2000), integrated catchment management (2001–2011), and freshwater and biodiversity outcomes (2013–2023). Each brought together multiple organisations and communities around shared landscapes, and each wrestled with familiar tensions around intentions, funding challenges, governance, accountability, and learning.​

Those experiences do not stand alone. Reviews of landscape partnerships, climate adaptation programmes, food-system initiatives, and social innovation labs across many countries point to similar challenges. Place-based work needs time, relational depth, and ways of working with people, systems and complexity, yet it is all too often constrained by funding terms, performance regimes, and institutional churn.​

Although this reflection is grounded in place-based work, the lessons are fundamentally about supporting collaboration over time — how people organise, learn, govern, and adapt together in complex, multi-actor settings. Across many initiatives, certain patterns keep appearing when the work finds its footing. These patterns are not tied to any one method or framework.

This reflective post draws out eight lessons that emerge from recognising those recurring patterns in long-term, place-based work that depends upon collaboration. They are not offered as a framework to adopt or a checklist to apply. Rather, they provide grounded guidance for practice that sits underneath many different approaches, from ICM and adaptive management through to co-design, evaluation, and complexity-aware MEL.

These lessons are offered for those designing, leading, funding, or evaluating place-based, multi-actor work. The aim is simple: to offer a small set of touchpoints that help people make sense of what they are experiencing, design and re-design programmes, find shared language across roles, and reset expectations about pace and support. It is a longer post than usual because it tries to bring those strands together in one place for people working in these roles.

Eight lessons that help strengthen long-term work in complex, multi-actor settings

• Plan for collaboration to grow over years, not months
• Build in ways to revisit purpose, not just agree it once
• Design learning with structure, rhythm, and resourcing
• Surface relationships and power as part of the work
• Use systems and complexity thinking to guide decision-making
• Co-produce evidence to be practical, credible, and usable
• Shape institutional settings to support adaptation
• Support the people and practices that hold institutional memory

Recognising the recurring patterns that sit underneath these eight lessons is useful for a number of reasons.

• They guide design and re-design in simple, practical ways.
  These lessons act as a small set of touchpoints. They help programme leads and funders check whether the essentials are in place, such as time for start-up, ways to revisit purpose, visible learning roles, attention to power, systems and complexity tools linked to decisions, and care for institutional memory. This keeps attention on a few leverage points rather than chasing new frameworks.
• They help people make sense of what they are experiencing.
  Many of the difficulties in place-based work are not signs of poor performance. They arise because the work is long-haul, relational, and shaped by shifting mandates and expectations. Naming these patterns gives teams a shared way to distinguish the challenges that come with the territory from those that can be improved through better design or governance.
• They offer shared language across different methods and roles.
  Teams will use different tools and labels, depending on their background and context. By framing these lessons as grounded in patterns (rather than as another model to adopt), people can bring their preferred methods into a shared conversation. The focus stays on practice, not on which framework is “right”.
• They reset expectations about pace and support.
  Long-term, place-based work moves through phases. It needs investment in relationships, learning, adaptation, and memory. These are not soft extras. They are the conditions that enable progress over time. Naming these lessons helps programme leads explain this to sponsors and governance groups in plain terms.

Many people involved in this kind of work will recognise these lessons from their own experience. They have lived the slow early years, managed purpose drift, worked around rigid performance systems, and watched institutional memory leave when staff move on. What recent reviews mostly offer is a language that helps name these patterns more clearly, and to see them as features of complex, multi-actor settings rather than signs of individual weakness. This way of looking at long-term collaboration also aligns with current thinking on resilience, where capability, relationships, and learning are understood as central to living with ongoing change.

The language here is deliberately method-neutral. Many frameworks and approaches speak to this territory — systems thinking, complexity-aware practice, adaptive management, co-design, developmental evaluation, and more. Each brings useful tools and insights. Thinking in terms of patterns helps keep attention on what people actually need to do — how they hold purpose, learn, attend to relationships and power, work with evidence, and support institutional memory — rather than on which framework is currently in fashion.

With that context in mind, each lesson is explored below, drawing on programme experience and wider research.

1. Plan for collaboration to grow over years, not months

In all three long-term programmes, the first years were spent clarifying purpose, building trust, and working out how decisions would be made. The visible outcomes that people now point to emerged later. That pattern is echoed across the literature on adaptive governance and landscape partnerships, which notes that early phases are dominated by relationship building, governance design, and framing the work, with “impact” coming through once those foundations are in place.

It is also rarely a smooth curve. Progress often comes in bursts, linked to windows of political opportunity, funding changes, or local crises that move issues up the agenda. Periods of consolidation can be followed by sudden shifts in direction when leadership or policy priorities change. For programme leads, this means treating the early years as an investment phase — building the relationships, governance, and shared understanding that later activity and impact will depend on.

The practical challenge is clear but demanding. Design and funding need to reflect this multi-phase trajectory. Programmes benefit from recognising at least four distinct phases: start-up, consolidation, scaling and deepening, and transition or exit. Each phase has different needs for staffing, governance, evidence, and engagement. When funding models treat complex, place-based work as a short project rather than a long journey, they tend to reward early “activity” at the expense of the quieter relationship and framing work that makes later impact possible. For more links to guides on long-term collaboration across catchments, regions and communities you can visit the Place-based and landscape approaches resources page.

2. Build in ways to revisit purpose, not just agree it once

Successful partnerships almost always begin with some shared direction. Partners need a reason to work together that fits with their core business, values, and accountabilities. Early work on joint aims, scope, and ways of working makes that explicit and gives people a chance to understand each other’s values, aspirations, and expectations.

In long-running programmes, though, purpose does not sit still. New partners join, others leave, policies shift, and local priorities change. Over ten years, a programme might move from early problem recognition, through experimentation, into implementation, and then into questions about legacy and transition. Without deliberate effort, the original purpose gets stretched and diluted, sometimes in useful ways, sometimes not.

Across place-based and collaborative initiatives, the same pattern appears. “Purpose drift” is common when there are many actors and shifting political signals. Where programmes fare better, they treat revisiting purpose as core governance work. They create structured moments to pause and renegotiate direction: regular reviews, pathway updates, or public value conversations with partners and communities.

In practice, these conversations often matter as much for how trade-offs are handled as for the goals themselves. Different partners may legitimately hold overlapping but distinct purposes. Naming those differences, clarifying shared intent, and agreeing how to handle tensions is part of the work. The practical lesson is that purpose needs a regular rhythm of attention, not just a launch workshop. When boards, co-governance groups, or steering groups make time to revisit purpose, it becomes easier to adjust course without every change feeling like a crisis or a defeat.

3. Design learning with structure, rhythm, and resourcing

Across the long-term programmes, the learning that mattered most came from regular chances to compare expectations with experience, to listen to different perspectives, and to sit with what had surprised people. Those conversations happened in organised settings and in informal moments. A drive back from a field visit or a quick chat after a meeting could be enough to help people notice patterns, question assumptions, and adjust what they were doing together.

Learning showed up less as a product and more as a recurring practice of review, reflection, and shared sense-making. Monitoring and evaluation can support this when they are designed as part of that learning system rather than as external judgement. The most useful efforts provided light structures for asking good questions, bringing evidence and experience into the same room, and feeding insights into real decisions, instead of producing thick reports that few people used. These could be after-action reviews or learning debriefs.

Reviews across landscapes, health, food, and social innovation work point in the same direction. Learning tends to stick when it is supported by clear roles and simple artefacts that feed into regular management and governance discussions. Recent work also emphasises equity in learning. Whose questions shape the agenda? Whose knowledge is recognised? Who has time to take part? If only agency staff and consultants can afford the time, community or Indigenous partners risk having their experience reported about them rather than used to shape the work.

The lesson here is that learning is infrastructural. It needs time in calendars, a line in budgets, and named responsibilities. It also needs to be woven into existing governance and management cycles, so that data and reflection are part of how decisions are made, not a parallel activity.

4. Surface relationships and power as part of the work

It is easy to say that “relationships matter”. In practice, the quality of relationships, and the way power is exercised within them, often sets the ceiling on what a programme can achieve. Much of this plays out in informal conversations as much as in formal meetings.

In long-term programmes, progress often depends on people who act as boundary spanners. They move between agencies and communities, reframe problems, translate language, and hold informal trust. Where those roles are recognised and supported, collaboration can deepen. Where they are taken for granted, or where people burn out, programmes stall.

The wider literature on multi-actor and co-governance work reinforces this. Informal leadership, brokerage, and boundary-spanning roles are repeatedly identified as critical. At the same time, there is growing attention to power asymmetries and “inclusion traps”, where participation is broad on paper but influence remains concentrated in a few institutions. Community partners and Indigenous organisations are often asked to show up repeatedly without matched investment in their capacity and autonomy.

The lesson is not that every meeting needs to become a seminar on power. It is that programmes need to pay sustained attention to questions such as: Who convenes? Who sets the agenda? Who carries risk? Who has veto power? Whose time is resourced, and whose is volunteered? Useful related tools and frameworks are gathered here on the facilitating guides and frameworks resource page.

These questions may feel uncomfortable to raise, especially when relationships are still forming or under strain. Yet without that honesty, trust erodes quietly. Over time, it can be as important to invest in governance and partnership design as in technical work, so that authority, responsibility, and benefit-sharing are aligned with the values the programme claims to hold.

5. Use systems and complexity thinking to guide decision-making

Across long-term programmes, systems thinking has been useful, but only as one part of how people make sense of their work. Systems thinking tools such as rich pictures, causal loops, and timelines do not “solve” anything on their own. They help people see patterns, surface assumptions, and notice that the same landscape can hold many different stories, purposes, and relationships. Used that way, they support conversations about choices rather than collapsing everything into a single, neat picture. That diversity of views is part of the work. When a single diagram is treated as the situation under question, systems thinking becomes a rigid template rather than a wider way of seeing.

This is where a complexity-aware stance matters. It is easy to think that producing a systems map means you have “sorted” the complexity. In practice, systems tools give structure, but complexity-aware thinking keeps people attentive to change, feedback, and the limits of what can be anticipated. Real-world collaboration needs both. Structure helps teams orient themselves and act together; a complexity-aware stance helps them stay open to emergence and adjust as the work unfolds.

Experience from climate adaptation, multifunctional landscapes, and transition initiatives points the same way. The practical lesson is simple: use systems tools sparingly and at moments when they can feed into real choices. Keep them local and maintainable, and hold them within a wider, complexity-aware approach that treats structure as support for shared sense-making, not as a claim to certainty.

6. Co-produce evidence to be practical, credible, and usable

Across long-term, multi-actor programmes, one of the consistent tensions lies in how evidence is produced and used. On the one hand, funders and central agencies often require standard indicators and reporting formats. On the other, local partners and Indigenous communities want information that speaks to their realities and helps them make decisions in context. When those needs are not brought together, evidence risks becoming something people report upwards rather than something they use together.

In the programmes I have worked with, the most useful evidence products were those that were co-designed with intended users: joint stories of change, simple scorecards, or navigation aids that brought together monitoring data, modelling, and local knowledge. These could be used both for internal learning and for external accountability.

Reviews of monitoring, evaluation, and learning in complex programmes highlight similar points. Evidence is most likely to be used when it is timely, decision-focused, and co-produced. But evidence work also carries politics. Different actors value different kinds of knowledge, and evidence systems can unintentionally reinforce existing power imbalances if local, Indigenous, or practitioner knowledge is treated as anecdotal while quantitative measures are taken as objective.

The lesson here is twofold. First, programmes benefit from negotiating credibility standards up front. What will count as good enough evidence for different decisions and for different partners? Second, co-production matters. When those who will use the evidence are involved in shaping the questions, methods, and formats, the resulting products are far more likely to influence practice.

7. Shape institutional settings to support adaptation

Even the most thoughtful programme design can be undermined by budgeting rules, performance frameworks, and organisational risk cultures that leave little room for adaptation. Long-term programmes often must navigate tensions between short-term output targets and longer-term systemic outcomes, as well as work around fragmented mandates across agencies.

The wider literature on place-based policy and adaptive governance is clear on this point. Budgets, audits, and performance indicators do not just sit in the background; they actively shape what kinds of experimentation are possible, how failure is treated, and whether learning is rewarded or punished. Well-intentioned risk controls and accountability measures, if not adjusted for complexity, can end up suppressing innovation.

What seems to help is explicit design of “safe-to-adapt” spaces. This can include portfolio approaches where some resources are reserved for experimentation, learning targets alongside output targets, and performance expectations that include responsiveness to new information rather than only adherence to fixed plans. It also means paying attention to mandate design. If a programme is tasked with transformative outcomes but managed through transactional contracts, it is being set up for frustration.

From a practitioner perspective, part of the work is translating these insights into conversations with funders and senior leaders. From a governance perspective, it is about being willing to adjust rules and expectations so that they align with the nature of the work, not just with inherited templates.

8. Support the people and practices that hold institutional memory

Finally, long-term programmes live or die by what happens when people move on. In each of the three programmes that anchor this reflection, staff turnover and leadership change created moments of real vulnerability. Knowledge walked out the door; relationships had to be rebuilt; and hard-won insights were lost.

Studies across landscape, catchment, health, and food-system initiatives point to the same challenge. Institutional memory is often person-based, and while document repositories and data systems help, they are not enough. Memory also resides in stories, norms, and networks. Without some deliberate care, the people who hold that memory can find themselves under-supported, carrying history in ways that are invisible until they leave.

Programmes that fare better treat institutional memory as something that needs active care. They invest in shared narratives, co-authored reports, and joint presentations. They support communities of practice and alumni networks that keep people connected beyond formal roles. They plan for transitions, so that when contracts end or teams are restructured, knowledge and relationships have somewhere to go. Sometimes this includes simple practices such as structured handovers, induction sessions built around stories, or pairing newer staff with people who have been part of the work for longer.

The practical lesson is to think about memory from the outset. Who will carry the story of this work when the current team is gone? How will new people be oriented? What needs to be written down, and what needs to be shared through conversation and continued connection? These are strategic questions, not filing questions.

Bringing the lessons together

Taken together, these eight lessons point to a view of place-based, multi-actor work that is as much about governance, learning, and relationships as it is about technical fixes. They suggest that when people talk about “complexity-aware” approaches, they are often describing the practical work of holding these dimensions together over many years.

These lessons do not replace familiar disciplines and project activities. They stretch them over a longer arc. Place-based work still moves through initiation, planning, delivery, and handover, but what matters is how these phases are approached. Tools such as risk registers, work programmes, and reporting templates can make space for relationships, learning, and adaptation, or they can quietly squeeze them out.

Many of the people doing this work already know these lessons; naming them simply makes that knowledge more shareable and easier to act on. In that sense, these lessons sit alongside good project practice rather than in competition with it. They offer a way to connect day-to-day management disciplines with the longer-term, systemic nature of place-based work.

The questions that follow from them are simple to ask and easy to overlook. Are we giving this collaboration enough time? How are we revisiting purpose? What supports learning here? Where is power sitting? How are we using systems tools? Whose evidence counts? Do our governance settings match the work? And who will carry the memory of what has been learned?

Questions like these, returned to steadily over time, may matter as much as any specific method we choose.

Working with place over time is one part of a wider practice across multi-actor settings. If you want to explore related tools and reflections, the Learning for Sustainability knowledge hub has a number of related pages. The multi-actor processes hub gathers guides on place-based and landscape approaches, cross-sector partnerships design, and social learning. A related reflection explores seven foundational patterns for working well in complexity on a day-to-day basis. These pages offer practical entry points that sit alongside the lessons outlined here and can help teams shape their own ways of working.

Over recent years, I’ve supported and observed design processes addressing complex issues. These have involved diverse participants — communities, researchers, policy actors, and industry bodies — and typically required not just technical solutions but new ways of working together.

Co-design responds well to these challenges, particularly when approached not as a toolkit, but as a collective way of navigating complexity. This view aligns with broader explorations of co-design, such as Cat Drew’s back story to the Systemic Design Framework development, Emma Blomkamp’s blog post Shades of co-design, and Susanne Moser’s paper on co-design on transformative practice. Each of these highlights that co-design is not a fixed model, but a practice that takes different forms depending on context.

What follows isn’t a how-to guide, but a reflection on patterns I’ve seen emerge through practice, especially in settings where multiple perspectives matter. This post also complements the more detailed resource pages on systemic co-design, design thinking, and multi-stakeholder-processes available through the Learning for Sustainability site.

1. Starting with shared grounding

Creating early alignment through shared values, context, and purpose

In many collaborative projects, there’s a tendency to begin by defining tasks–what needs doing, by whom, and when. But in complex settings, where multiple perspectives and values come into play, it’s often more important to begin with relationships. It helps to understand where people are coming from, what matters and how they see the purpose. Co-design, in these contexts, depends on a shared orientation before it can support meaningful action.

This grounding isn’t about gaining full agreement but about creating enough shared direction to move forward. It could involve exploring aspirations, reflecting on lived experience, or simply taking time to talk and listen. This emphasis on grounding is echoed in the Just Transitions Guide, which shows how processes gain strength when people first build relationships and connect around shared context and intent.

In practice, it might look like a series of small conversations rather than a single kick-off workshop. Small groups might share personal or organisational histories, or map what success could look like. It’s about creating space for people to show up as themselves — not just as institutional representatives.

2. Framing the issue together

Letting the challenge emerge through shared understanding

With a shared grounding established, the next step is to frame the issue, allowing diverse perspectives to reshape the problem space. In many projects, the problem is defined from the start–often by funders, researchers, or policy priorities. While others may be consulted, the overall framing tends to remain fixed. In co-design, there’s a different orientation. Rather than starting with a predefined issue and working towards a solution, co-design allows the problem itself to be reshaped as different perspectives come into play.

This doesn’t mean beginning with a blank slate. Most co-design processes still have parameters — a general focus, some constraints, and a sense of urgency. But they treat the problem space as something to explore, not simply solve. The goal is to understand not just what the issue is, but why it matters, who it affects, and how it is experienced across contexts.

This could involve mapping the system together, surfacing different narratives, or exploring where people see tensions or opportunities. Sometimes what looks like a technical problem to one group is a values-based concern for another–or a mix of issues collapsed into one. Shaping the problem together can feel uncertain, but it creates a grounded and inclusive starting point — one that reflects lived experience and opens a wider range of responses.

This kind of framing work relies on thoughtful facilitation. As discussed in this earlier LfS post on co-design and facilitation, it’s not just about keeping the process moving — it’s about helping participants reflect together, question assumptions, and navigate complexity with care.

3. Creating space for contribution

Designing for participation that is inclusive, thoughtful, and power-aware

Co-design is often described as participatory — but participation alone doesn’t ensure meaningful contribution. It requires being intentional about how people are invited in, how input is valued, and how decisions are shaped.

It’s not just about getting the “right mix” of stakeholders in the room. It’s about group dynamics — who speaks first, whose perspectives carry weight, and whether people feel safe to raise disagreement or uncertainty. As discussed in the previously mentioned co-design and facilitation post, facilitation plays a crucial role — not just in guiding process, but in noticing who’s participating, how, and who may need support.

Sometimes contribution is shaped by formality — who takes notes or summarises discussion. Sometimes it’s about pace: moving too fast can silence voices or flatten ideas that need more time to form. Addressing this could involve:

• Using varied methods — small groups, storytelling, drawing — to support different forms of expression.
• Revisiting earlier conversations so ideas can evolve.
• Being transparent about how decisions are made and how different kinds of knowledge are recognised.

As Blomkamp notes in her blog Shades of co-design, co-design takes many forms. What matters is whether people feel their contributions are meaningful, respected, and able to shape outcomes.

This also connects with wider ethical considerations. Co-design often involves emergent goals and evolving relationships — challenging the linear assumptions of conventional research and policy. As Moser points out, it can reshape not only the outcomes of a project, but also the questions we ask, the relationships we build, and the kinds of change we aim to support. These shifts raise important ethical questions — particularly around consent, power, and institutional oversight — which are increasingly being recognised by ethics committees and researchers alike (Goodyear-Smith et al., 2015).

4. Using tools to support shared inquiry

Employing tools that help people explore, reflect, and co-create meaning

Tools can help participants explore issues and reflect together. They’re often the most visible part of a design process — post-its, diagrams, whiteboards, canvases. But in co-design, they’re not just for collecting input. At their best, tools help people see systems differently, make thinking visible, and build shared understanding.

Their value lies in how they’re used. A simple matrix can surface values or tensions. A visual scenario might combine technical data with lived experience. A rubric or set of questions can help weigh trade-offs that reflect both cultural and practical concerns.

Effective tools are transparent, flexible, and facilitative — used to prompt inquiry, not replace it.

• Transparent — People know what the tool is for, and how it fits within the wider process.
• Flexible — Tools are adapted to suit the group, not the other way around.
• Facilitative — They prompt dialogue and reflection, not just capture answers.

Tools also need to be introduced with care. A visual dashboard may engage some but overwhelm others. A model might clarify for some and obscure for others. As Cat Drew’s Medium post notes, tools work best when chosen with people and systems in mind — not applied as a one-size-fits-all solution.

This idea is also explored in another recent LfS post on systems design, which highlights how tools can support collaboration in complexity. Systems thinking tools (like mapping, feedback diagrams, or stakeholder analysis), facilitation strategies, and co-design approaches such as Theory of Change or scenario planning all help teams make complexity visible, include diverse voices, and develop solutions that remain responsive over time.

5. Navigating difference

Holding space for multiple perspectives, knowledge systems, and priorities

Complex projects often bring together people with different starting points — worldviews, roles, accountabilities, and measures of success. Co-design doesn’t try to smooth out these differences or merge them into a single voice. Instead, it keeps them visible and works across them with care.

This is also where co-design can be most challenging. Tensions can emerge, and processes may slow down. But it’s often where the greatest value lies. When people stay in dialogue across their differences — whether cultural, technical, institutional, or experiential — new insights can emerge.

Working with difference requires deliberate process design. That might mean:

• Creating space for different forms of evidence and expression–numbers, stories, images, scenarios.
• Avoiding premature convergence–letting multiple interpretations sit side by side for a while.
• Encouraging people to listen not just for agreement, but for understanding.

It also means noticing the invisible boundaries. In hybrid settings — where some are online and others in the room — differences in voice and presence can be magnified. Similarly, when community members are invited to “co-design” without clarity on scope or influence, trust can erode quickly.

Navigating difference doesn’t mean forcing consensus. It’s about making better decisions amid complexity — not resolving it.

This aspect of co-design reflects what social learning supports: collective sense-making in uncertain, shifting environments. It calls for patience, humility, and a willingness to sit with discomfort — not as failure, but as part of the practice. For those working in particularly contested or sensitive settings, the LfS conflict management resource page provides additional tools and guidance for navigating disagreement constructively and supporting trust-building through dialogue.

6. Designing with the future in mind

Embedding adaptability, learning, and influence from the outset

While many initiatives focus on near-term goals — a framework to develop, a tool to test, a policy to inform — their deeper value often lies in what continues beyond formal outputs: relationships, shared capabilities, and ways of working that persist and grow.

Designing with the future in mind means holding more than one scale in view. It involves supporting groups to build capability — not just for the task at hand, but for navigating what comes next. It also asks us to consider how today’s work aligns with wider systems — social, ecological, and intergenerational. A co-developed tool might not be adopted as-is, but the thinking behind it may shape future practice. A local initiative might inspire wider change through adaptation.

Co-design often lays the foundations for change to grow beyond the initial setting. For a short reflection on how ideas can travel with integrity across contexts, see rethinking scaling in complex settings.

This orientation also invites more openness about what success looks like. In complex settings, impacts often unfold gradually, indirectly, and through relationships. Measuring outcomes solely in terms of uptake or delivery can obscure what matters most: whether people are more able to collaborate, reflect, and respond to change in ways that respect people, place, and planet.

Concluding reflection

Co-design offers a way of working that matches the complexity of the challenges we face. It draws together social learning, systems thinking, and participatory design — not as fixed frameworks, but as practical orientations. These reflections highlight the value of shared grounding, slowing down to understand the problem, supporting meaningful contribution, and the learning that good tools and facilitation can enable.

Co-design isn’t just about outcomes — it’s about creating the conditions for people to learn, collaborate, and adapt together. As a transformative process, it reshapes the questions we ask, the relationships we form, and the kinds of change that become possible. At its best, co-design invites us to reimagine not only systems and outcomes, but also ourselves. It reminds us that in complex settings, we move forward in steps — through reflection, adaptive management, and shared intent.

If these reflections resonate, you can explore tools, frameworks, and further examples on the Systemic co-design page on the Learning for Sustainability knowledge hub.

This reflection explores how we can adapt in and through uncertainty, drawing on ideas of overshoot, resilience, and renewal — and what it means to live well within planetary limits.

We are now living in a time of overshoot, when humanity’s demand on nature exceeds Earth’s ability to regenerate. Scientists tracking the health of our planet tell us that we have pushed beyond most of the safe boundaries that keep the Earth system stable. These pressures may sound abstract, but they often show up close to home — in shifting weather patterns, food insecurity, and rising social strains.

Across the sciences and in everyday life, evidence is mounting that humanity has entered a new phase of planetary risk. The latest Planetary Health Check 2025 confirms that seven of nine planetary boundaries have now been breached, marking what scientists describe as an emerging age of overshoot. Climate change, biodiversity loss, and land-system degradation are no longer isolated crises but interconnected signals that our Earth system’s integrity is under sustained pressure.

As global boundaries are crossed, so too are social and institutional thresholds. The question is no longer whether we can avoid disruption but how we will adapt in and through it. This is where insights from resilience theory, systems thinking, and collective learning become most valuable — helping us sense, respond, and reorganise as living systems do.

The term overshoot refers to the condition in which human activity exceeds the planet’s capacity to regenerate — when we go beyond safe operating limits such as the 1.5 °C climate target or the boundaries for biodiversity and land use. It’s not a single tipping point but a dynamic and complex condition that demands new ways of thinking and acting.

Through recent Learning for Sustainability posts, I’ve been exploring how systems learning and adaptive practice can help us navigate complexity — learning together, acting collectively, and reflecting purposefully as conditions shift around us. The work of adaptation, at every scale, is less about controlling outcomes and more about staying responsive as the world becomes more complex and uncertain, finding patterns of renewal when old systems reach their limits.

The age of overshoot: living beyond safe operating limits

In climate science, overshoot pathways describe futures where global warming rises above a critical limit, such as 1.5 °C, before (hopefully) later being brought down through emission cuts and carbon removal. However, the return, where it occurs, is neither immediate nor symmetrical. Once systems exceed a threshold, they rarely come back the same way. Forests, glaciers, and oceans don’t simply bounce back; they reorganise into new states.

At its heart, overshoot reflects a deeper imbalance in human systems. Economies and institutions have long drawn more from nature than can be renewed, assuming tomorrow will absorb today’s costs — an assumption the Earth Overshoot Day campaign tracks each year. The question now is not only how to pull back but how to adapt and regenerate within changed conditions. Resilience thinking offers guidance, not as reassurance but as a practical lens for understanding how living systems reorganise when old equilibriums no longer apply.

Embracing uncertainty: beyond the illusion of control

For much of the last century, our societies built management systems to eliminate uncertainty — predicting, controlling, and stabilising change. More data, tighter forecasts, finer control. Yet the world reminds us that uncertainty is part of how living systems behave.

It’s not that our systems are inherently more complex than before; rather, they’ve become far more tightly interconnected and less insulated. Where past challenges such as acid rain or ozone loss were largely local or sectoral, climate change effects are now braided across sectors and continents. With greater interconnection has come a loss of buffer — the slack and separation that once contained shocks. As a result, outcomes have grown less predictable, with ripple effects spanning the globe in ways we could not anticipate.

Even if global temperatures eventually stabilise or begin to decline in some overshoot scenarios, some impacts — glacier melt, species loss — cannot be undone. The conditions we face will remain fluid and unpredictable. The challenge is to keep learning and adapting within this living, complex system rather than trying to banish unpredictability altogether.

Trying to control complexity through prediction gives a false sense of safety. When change is nonlinear, feedback and adaptation — not prediction alone — become central. Those living and working in complex local settings know the value of staying attentive, listening, testing, and adjusting as conditions evolve.

Seen this way, unpredictability becomes an invitation to learn. It asks us to slow down, value multiple perspectives, and approach decision-making as shared sense-making. Accepting dynamic change opens space for creativity and collaboration. Adaptation begins with humility — a readiness to keep learning and adjusting as the world shifts.

Rethinking resilience: it’s about ‘bouncing forward’

Resilience is often described as the ability to bounce back after disruption. It’s a comforting idea, but not always a realistic one. In many cases, returning to how things were is neither possible nor desirable. Recovery after overshoot isn’t about restoration; it’s about reconfiguration — finding new ways for systems to function under changed conditions.

Bouncing forward means adapting, learning, and sometimes letting go. In ecological terms, resilience is not about resisting change but about maintaining function and coherence through it. Forests regrow after fire; communities rebuild with new values and connections. The form may change, but the underlying purpose — to sustain life and wellbeing — continues.

Social resilience is strengthened through dialogue and shared reflection. When people come together to make sense of what’s happening, they often find new ways of acting that weren’t visible before. Resilience grows through connection, trust, and a willingness to experiment. These are social qualities as much as technical ones. They remind us that adaptation depends on relationships of trust and inclusion — people learning together across boundaries and perspectives.

Adaptive cycles: reflections on learning and transformation

Every living system moves through cycles of growth, release, and renewal. Ecologist Buzz Holling described this as the adaptive cycle, a rhythm that applies to ecosystems, organisations, and societies alike. There are times of expansion and accumulation, followed by disturbance and collapse, which in turn create space for reorganisation and innovation.

Seen this way, the current age of overshoot marks a release phase at planetary scale. Systems that once maintained balance are reaching their limits, and the strain is showing. Yet times of breakdown can also be times of possibility. When structures loosen, new relationships and ideas can take root. Overshoot makes adaptation a matter of navigation: there is no single route back to safety, only a continual process of steering and adjusting.

Learning works much the same way. We act, observe, reflect, and adapt — deepening our understanding with each loop. In facilitation and evaluation, this means creating spaces where people can learn together from experience. Transformation rarely happens through grand design; it grows from many small cycles of noticing and responding. The art lies in keeping those cycles open, reflective, and connected.

The essential role of mitigation

Adaptation and transformation are necessary responses, but they can’t substitute for prevention. Returning within planetary boundaries requires rapid and ambitious cuts in greenhouse gas emissions, alongside shifts in land use, food systems, and material consumption. Ambitious policies such as decarbonising energy, halving food waste, restoring ecosystems, and increasing resource efficiency can help reduce overshoot and keep open the possibility of a “safe and just” operating space.

Yet even with strong mitigation, many planetary boundaries will take decades or longer to recover. That is why adaptation, regeneration, and resilience need to be developed in tandem with efforts to bend the curve on emissions and resource use. Living and learning within limits is inseparable from the commitment to sustained collective action on mitigation — locally, nationally, and globally.

Living within limits

Living within limits is not about constraint or retreat; it is about re-imagining what thriving means in a full world. The Planetary Boundaries framework reminds us that stability and justice are deeply intertwined. A safe and just operating space must protect both ecological integrity and human wellbeing. The Planetary Health Check 2025 shows that seven of nine boundaries are now breached, including those for climate, biodiversity, and land use. The message is clear: regeneration, not extraction, must define the next era of human progress.

Seen not as constraint but as invitation, working within limits can spark creativity and connection. It encourages new kinds of economy, design, and partnership that regenerate rather than deplete what we depend on. Many communities are already exploring this path — restoring wetlands, localising food systems, co-managing forests, and sharing knowledge across cultures to restore balance between people and planet. These stories of renewal echo the insights of the Earth Commission and the Doughnut Economics model, which link planetary limits with social foundations for equitable wellbeing.

Much of this transformation happens before crisis peaks. Renewal also relies on relationships: the trust, inclusion, and shared purpose that allow people to act together over time. Strengthening capacity now — in communities, institutions, and relationships — gives us the flexibility to reorganise later as conditions change. In this light, resilience is not primarily about endurance but about the capacity for regeneration. It calls for alignment with the rhythms of living systems: to take only what can be replenished, to foster continuous learning, and to act with generosity and care for future generations.

As the age of overshoot unfolds, living well within limits may be the deepest form of adaptation we can offer. Resilience begins by noticing what is alive and worth carrying forward. It is, ultimately, a practice of recognition, renewal, and relationship — the quiet foundations of sustainability.

The patterns outlined here — learning through uncertainty, rethinking resilience, embracing adaptive cycles, and living within limits — connect across disciplines and practice. On myLearning for Sustainability site, related pages such as Systems thinking, Cross-sector partnerships, and Climate adaptation explore these ideas further, offering frameworks, tools, and examples of social learning in action.

This reflection explores how we can adapt in and through uncertainty, drawing on ideas of overshoot, resilience, and renewal — and what it means to live well within planetary limits.

We are now living in a time of overshoot, when humanity’s demand on nature exceeds Earth’s ability to regenerate. Scientists tracking the health of our planet tell us that we have pushed beyond most of the safe boundaries that keep the Earth system stable. These pressures may sound abstract, but they often show up close to home — in shifting weather patterns, food insecurity, and rising social strains.

Across the sciences and in everyday life, evidence is mounting that humanity has entered a new phase of planetary risk. The latest Planetary Health Check 2025 confirms that seven of nine planetary boundaries have now been breached, marking what scientists describe as an emerging age of overshoot. Climate change, biodiversity loss, and land-system degradation are no longer isolated crises but interconnected signals that our Earth system’s integrity is under sustained pressure.

As global boundaries are crossed, so too are social and institutional thresholds. The question is no longer whether we can avoid disruption but how we will adapt in and through it. This is where insights from resilience theory, systems thinking, and collective learning become most valuable — helping us sense, respond, and reorganise as living systems do.

The term overshoot refers to the condition in which human activity exceeds the planet’s capacity to regenerate — when we go beyond safe operating limits such as the 1.5 °C climate target or the boundaries for biodiversity and land use. It’s not a single tipping point but a dynamic and complex condition that demands new ways of thinking and acting.

Through recent Learning for Sustainability posts, I’ve been exploring how systems learning and adaptive practice can help us navigate complexity — learning together, acting collectively, and reflecting purposefully as conditions shift around us. The work of adaptation, at every scale, is less about controlling outcomes and more about staying responsive as the world becomes more complex and uncertain, finding patterns of renewal when old systems reach their limits.

The age of overshoot: living beyond safe operating limits

In climate science, overshoot pathways describe futures where global warming rises above a critical limit, such as 1.5 °C, before (hopefully) later being brought down through emission cuts and carbon removal. However, the return, where it occurs, is neither immediate nor symmetrical. Once systems exceed a threshold, they rarely come back the same way. Forests, glaciers, and oceans don’t simply bounce back; they reorganise into new states.

At its heart, overshoot reflects a deeper imbalance in human systems. Economies and institutions have long drawn more from nature than can be renewed, assuming tomorrow will absorb today’s costs — an assumption the Earth Overshoot Day campaign tracks each year.

The question now is not only how to pull back but how to adapt and regenerate within changed conditions. Resilience thinking offers guidance, not as reassurance but as a practical lens for understanding how living systems reorganise when old equilibriums no longer apply.

Embracing uncertainty: beyond the illusion of control

For much of the last century, our societies built management systems to eliminate uncertainty — predicting, controlling, and stabilising change. More data, tighter forecasts, finer control. Yet the world reminds us that uncertainty is part of how living systems behave.

It’s not that our systems are inherently more complex than before; rather, they’ve become far more tightly interconnected and less insulated. Where past challenges such as acid rain or ozone loss were largely local or sectoral, climate change effects are now braided across sectors and continents. With greater interconnection has come a loss of buffer — the slack and separation that once contained shocks. As a result, outcomes have grown less predictable, with ripple effects spanning the globe in ways we could not anticipate.

Even if global temperatures eventually stabilise or begin to decline in some overshoot scenarios, some impacts — glacier melt, species loss — cannot be undone. The conditions we face will remain fluid and unpredictable. The challenge is to keep learning and adapting within this living, complex system rather than trying to banish unpredictability altogether.

Trying to control complexity through prediction gives a false sense of safety. When change is nonlinear, feedback and adaptation — not prediction alone — become central. Those living and working in complex local settings know the value of staying attentive, listening, testing, and adjusting as conditions evolve.

Seen this way, unpredictability becomes an invitation to learn. It asks us to slow down, value multiple perspectives, and approach decision-making as shared sense-making. Accepting dynamic change opens space for creativity and collaboration. Adaptation begins with humility — a readiness to keep learning and adjusting as the world shifts.

Rethinking resilience: it’s about ‘bouncing forward’

Resilience is often described as the ability to bounce back after disruption. It’s a comforting idea, but not always a realistic one. In many cases, returning to how things were is neither possible nor desirable. Recovery after overshoot isn’t about restoration; it’s about reconfiguration — finding new ways for systems to function under changed conditions.

Bouncing forward means adapting, learning, and sometimes letting go. In ecological terms, resilience is not about resisting change but about maintaining function and coherence through it. Forests regrow after fire; communities rebuild with new values and connections. The form may change, but the underlying purpose — to sustain life and wellbeing — continues.

Social resilience is strengthened through dialogue and shared reflection. When people come together to make sense of what’s happening, they often find new ways of acting that weren’t visible before. Resilience grows through connection, trust, and a willingness to experiment. These are social qualities as much as technical ones. They remind us that adaptation depends on relationships of trust and inclusion — people learning together across boundaries and perspectives.

Adaptive cycles: reflections on learning and transformation

Every living system moves through cycles of growth, release, and renewal. Ecologist Buzz Holling described this as the adaptive cycle, a rhythm that applies to ecosystems, organisations, and societies alike. There are times of expansion and accumulation, followed by disturbance and collapse, which in turn create space for reorganisation and innovation.

Seen this way, the current age of overshoot marks a release phase at planetary scale. Systems that once maintained balance are reaching their limits, and the strain is showing. Yet times of breakdown can also be times of possibility. When structures loosen, new relationships and ideas can take root. Overshoot makes adaptation a matter of navigation: there is no single route back to safety, only a continual process of steering and adjusting.

Learning works much the same way. We act, observe, reflect, and adapt — deepening our understanding with each loop. In facilitation and evaluation, this means creating spaces where people can learn together from experience. Transformation rarely happens through grand design; it grows from many small cycles of noticing and responding. The art lies in keeping those cycles open, reflective, and connected.

The essential role of mitigation

Adaptation and transformation are necessary responses, but they can’t substitute for prevention. Returning within planetary boundaries requires rapid and ambitious cuts in greenhouse gas emissions, alongside shifts in land use, food systems, and material consumption. Ambitious policies such as decarbonising energy, halving food waste, restoring ecosystems, and increasing resource efficiency can help reduce overshoot and keep open the possibility of a “safe and just” operating space.

Yet even with strong mitigation, many planetary boundaries will take decades or longer to recover. That is why adaptation, regeneration, and resilience need to be developed in tandem with efforts to bend the curve on emissions and resource use. Living and learning within limits is inseparable from the commitment to sustained collective action on mitigation — locally, nationally, and globally.

Living within limits

Living within limits is not about constraint or retreat; it is about re-imagining what thriving means in a full world. The Planetary Boundaries framework reminds us that stability and justice are deeply intertwined. A safe and just operating space must protect both ecological integrity and human wellbeing. The Planetary Health Check 2025 shows that seven of nine boundaries are now breached, including those for climate, biodiversity, and land use. The message is clear: regeneration, not extraction, must define the next era of human progress.

Seen not as constraint but as invitation, working within limits can spark creativity and connection. It encourages new kinds of economy, design, and partnership that regenerate rather than deplete what we depend on. Many communities are already exploring this path — restoring wetlands, localising food systems, co-managing forests, and sharing knowledge across cultures to restore balance between people and planet. These stories of renewal echo the insights of the Earth Commission and the Doughnut Economics model, which link planetary limits with social foundations for equitable wellbeing.

Much of this transformation happens before crisis peaks. Renewal also relies on relationships: the trust, inclusion, and shared purpose that allow people to act together over time. Strengthening capacity now — in communities, institutions, and relationships — gives us the flexibility to reorganise later as conditions change. In this light, resilience is not primarily about endurance but about the capacity for regeneration. It calls for alignment with the rhythms of living systems: to take only what can be replenished, to foster continuous learning, and to act with generosity and care for future generations.

As the age of overshoot unfolds, living well within limits may be the deepest form of adaptation we can offer. Resilience begins by noticing what is alive and worth carrying forward. It is, ultimately, a practice of recognition, renewal, and relationship — the quiet foundations of sustainability.

The patterns outlined here — learning through uncertainty, rethinking resilience, embracing adaptive cycles, and living within limits — connect across disciplines and practice. On my Learning for Sustainability site, related pages such as Systems thinking, Cross-sector partnerships, and Climate adaptation explore these ideas further, offering frameworks, tools, and examples of social learning in action.

In complex, real-world settings, there are rarely simple answers. Progress depends less on experts providing solutions, and more on people learning their way forward together. That’s where social learning comes in. This post explores what social learning looks like in practice, and why creating space for reflection, dialogue, and shared understanding is key to working across difference and uncertainty.

When people face complex challenges — whether in sustainability transitions, public health, urban development, or freshwater management — there is often no single answer or fixed path forward. Instead, progress depends on people learning their way into the problem together.

While the term social learning might sound abstract, the idea is very practical: it’s about creating space for shared reflection, deeper dialogue, and more connected action. It’s about how people build understanding and trust as they respond to uncertainty, difference, and change. And it’s something many of us are already doing, often without naming it as such.

The photo above captures this spirit. In the midst of a fast-moving public space, three people have paused to talk. It’s a reminder that social learning can happen wherever people choose to slow down, reflect, and make sense together.

This post explores what social learning looks like in practice. It brings together updated insights and links to the new Social Learning resource hub here on the Learning for Sustainability website.

What is social learning?

There is no single definition, but most descriptions of social learning emphasise the importance of ongoing interaction, reflection, and adaptation across diverse groups. It is not about simply transferring knowledge or holding one-off workshops. Instead, it is about how people learn with and from one another over time — shifting perspectives, building trust, and finding ways to act collectively.

Social learning is both an activity and an outcome. It is something people do through dialogue, inquiry, and shared reflection, and also something we recognise afterward, when we see shifts in understanding, relationships, or coordinated action that could not have emerged in isolation.

The concept of social (or collaborative) learning refers to learning processes among a group of people who seek to improve a shared situation and take action collectively. This approach extends experiential learning into a social context. By broadening their perspectives and acting together, people can become empowered. Empowerment, in this sense, means enhancing the capacity of individuals or groups to make informed choices, and to turn those choices into meaningful action and outcomes. Achieving such outcomes is rarely linear or quick. It requires a long-term social process that evolves over time, building on a series of interconnected activities and shared experiences.

To be clear, social learning is not just about teaching others what we think they need to know. That is information dissemination, or sometimes advice, or even indoctrination. While sharing knowledge can help, it is most effective when embedded in a collaborative process that supports mutual understanding and joint reflection over time.

Social learning is not about telling people what to think — it’s about creating conditions for dialogue, reflection, and collective action.

At its core, social learning recognises that people make sense of complex situations through dialogue, experimentation, and shared reflection. It is through these processes that new ideas emerge, relationships strengthen, and pathways forward become possible.

Key elements of social learning in practice

In the resource hub, I have grouped key enabling conditions for social learning into six interconnected strands. These reflect what I have seen consistently across practice:

• Systems thinking for sustainability and change
  Systems thinking provides a foundation for engaging with complexity. It helps teams see interconnections, challenge linear assumptions, and understand how interventions might lead to unintended consequences. This strand supports adaptive strategies and is linked to practical tools for mapping systems, framing change, and working across boundaries.
• Building networks for collaboration
  Strong relationships and social networks are key to effective collaboration. This strand explores how to build and sustain communities of practice, learning groups, and partnerships that support ongoing reflection and joint action. It includes insights on trust-building, network leadership, and cross-sector engagement.
• Deliberation and dialogue
  Constructive dialogue enables shared sense-making, especially when people hold different values or draw on diverse knowledge systems. This strand focuses on facilitation, value-based inquiry, and inclusive decision-making. It also addresses how to surface and navigate tensions, enabling groups to stay engaged even when the path forward is uncertain.
• Co-producing knowledge and understanding
  Making sense of complexity depends on how we generate, share, and use knowledge together. This strand includes tools for conceptual modelling, participatory mapping, and the co-production of knowledge across disciplines and worldviews. It highlights approaches that help bridge science, practice, and Indigenous perspectives in ways that inform collective learning and action.
• Monitoring, evaluation & learning (MEL)
  Reflection is not just about learning after the fact — it is a core part of navigating change as it happens. This strand connects to frameworks for monitoring, evaluation, and learning (MEL), including complexity-aware approaches. It highlights how evaluative thinking can support adaptive practice, deepen reflexivity, and create space for strategic learning across a system.
• Creating enabling environments
  Social learning depends not just on methods, but on the broader conditions that support participation, learning, and change. This strand explores how organisations and systems can invest in capacity-building, foster psychological safety, and shift cultural norms to sustain learning over time. It looks at the structural and relational foundations needed for meaningful engagement to take root.

These elements do not stand alone. They reinforce each other, often weaving together in different ways depending on the context.

Why does this matter?

In practice, social learning offers a way to bring people together who might otherwise stay in separate silos. It helps them develop shared language and insight, navigate tension, and move from dialogue to coordinated action. This is especially valuable in settings where power is distributed, change is emergent, and different forms of knowledge need to be respected.

In one freshwater planning initiative, community members and agency staff used regular reflection sessions to track what they were learning. And this is not just about water quality, but also about each other’s values and roles. Over time, this helped shift both relationships and decision-making processes.

Over the years, I have seen how this approach can strengthen collective action and build adaptive capacity. In initiatives like the Living Water partnership and other place-based collaborations, social learning has supported teams to hold the complexity of what is unfolding, without rushing to premature certainty.

And crucially, it is not about consensus for its own sake. Effective social learning makes room for uncertainty, difference, and even conflict, but in ways that support respectful engagement and practical progress.

Continuing the journey

Social learning is a powerful idea, but it is not a fixed model. It draws on a wide and evolving field, including systems thinking, organisational learning, co-design, and participatory evaluation. If you are working in complex, multi-stakeholder settings, I hope the Social Learning hub offers useful framings and tools.

For many of us working in complex, systems-facing spaces, social learning is already part of how we work — even if we don’t always name it that way. What matters is not whether we adopt a new label, but whether we create the conditions that allow people to learn, adapt, and act collectively. That is the real value of social learning — and why it deserves more attention as a practical, relational, and deeply human part of systems change.

Effective social learning makes room for uncertainty, difference, and even conflict — while still moving people toward practical progress.

If these ideas resonate, you can explore more tools and examples via the Social Learning hub, or visit the companion page Social learning in practice, which curates examples, frameworks, and stories from the field.

[Image credit: 123RF / Rawpixel.com]

This post explores how single-point rubrics differ from conventional formats, why they are especially useful in place-based and adaptive work, and how they can be used to shape programmes, partnerships, and systems change.

Single-point rubrics offer a clear, reflective framework for learning and improvement — especially in complex, collaborative work. In many areas of work — particularly those involving collaboration, systems change, or place-based initiatives — there’s a growing need for tools that help us reflect, learn, and adapt. Evaluation in these contexts often moves beyond judging performance in fixed ways, instead supporting shared inquiry and progress over time. One tool that’s proving particularly helpful here is the single-point rubric.

Rubrics in practice

Rubrics have long been used to assess quality and performance — especially in education. Increasingly, they are also used in other fields, including evaluation, organisational learning, and programme improvement. At their core, rubrics provide a structured way to assess progress across agreed criteria. They can support participatory approaches, helping groups surface assumptions, clarify expectations, and reflect together.

In evaluation, rubrics are commonly used to bring transparency to how judgments are made. As Allen and Tanner (2006) explain, rubrics provide a clear set of criteria and scaled levels of achievement, making standards explicit and supporting both evaluators and learners in understanding expectations and performance. But how these tools are applied — and the kind of rubrics we choose — can have a big influence on the quality and use of reflection and learning.

Rubrics come in a range of types. Generic, analytic, and holistic formats are commonly used in settings that require consistent, detailed, or summative assessment. These formats are widely applied in education and evaluation, especially where clear judgments or comparisons are needed. Each type has strengths and trade-offs, and choosing the right format depends on the context and purpose. A summary and comparison of these different types is available in an earlier post — Using rubrics to plan and assess complex tasks and behavior — on the Learning for Sustainability website.

An alternative format gaining attention in complex or collaborative settings is the single-point rubric. This approach moves away from fixed grading and focuses instead on encouraging reflection and shared understanding.

Why single-point rubrics work well in complexity

Single-point rubrics offer a different approach. Instead of defining multiple levels for each criterion, they describe just one level — the expected or ‘proficient’ performance. This provides a shared reference point. Alongside this, space is left to note both strengths and areas for growth. This format invites reflection. It asks: what’s working well? What could be strengthened? And where are new or unanticipated contributions emerging? It doesn’t close off discussion with fixed grades but opens it up.

Single-point rubrics can also support a different kind of feedback environment — one that invites reflection without creating a sense of being judged. Because they offer space to acknowledge both strengths and areas for growth, they help participants engage more openly. This format encourages teams and individuals to consider their decisions and actions in a wider context, fostering greater self-awareness and awareness of how their work affects others. In this way, rubrics not only help improve practice — they can also shift how we understand our roles and relationships within a system.

For those working in complexity, this matters. As outlined in a recent post on evaluation in complex settings, evaluators in these contexts often support learning and adaptive management, rather than delivering fixed conclusions. A single-point rubric fits well here. It helps track direction without constraining innovation. It supports constructive feedback without judgement. And it invites people to stay engaged, rather than perform to a scale. This isn’t about compromising rigour; in complex settings, rigour comes through structured reflection, grounded evidence, and purposeful inquiry — not from applying fixed scales.

When and where to use them

Single-point rubrics can be used in a wide range of settings — particularly where the focus is on learning, contribution, and reflection. Examples include:

• Evaluating partnership quality in multi-agency collaborations
• Tracking progress in community-led initiatives or place-based work
• Supporting team reflection on ways of working
• Reviewing practice in adaptive programmes

They can be co-developed with stakeholders, drawing on collective experience and shared values. The criteria should reflect what matters in that context — not just what’s measurable, but what’s meaningful. Rubrics become most useful when they are co-developed. Involving stakeholders in setting the criteria — what ‘good’ looks like — helps surface different perspectives and builds shared ownership. This is especially important in place-based or participatory work, where legitimacy and alignment matter as much as precision.

Importantly, single-point rubrics don’t prescribe a fixed definition of what’s ‘good’. Instead, they offer a reference point or indication — often expressed through prompts or examples. This makes them easier to develop, more adaptable, and particularly suited to contexts where meaning is co-created rather than imposed. In this way, single-point rubrics support a more inclusive and reflective approach, and they can be used in tandem with other tools that do the same.

Co-creating a single-point rubric also invites questions that are often overlooked: What do we value in this work? Whose perspectives are shaping our assessments? How might success look different in different places? In some cases, single-point rubrics may be used alongside more traditional formats. For example, an analytic rubric might be used for financial compliance, while a single-point rubric supports reflection on relational or cultural practice. These layered approaches can balance consistency with responsiveness.

While rubrics are often associated with evaluation, their value in design and development is equally important — especially in complex or collaborative settings. A single-point rubric can be used early on to help clarify shared intent, surface different perspectives on what ‘good’ might look like, and guide programme or partnership design. This makes them particularly well suited to adaptive and place-based work, where programmes evolve over time and need reflective tools that grow with them. In this way, rubrics become not just tools for judging what has happened, but frameworks for shaping what comes next.

Working with rubrics in practice

Rubrics are not just templates to be filled in. Used well, they provide a structure for dialogue and reflection. This means attention needs to go not just into their design, but into how they’re used:

• Co-create the criteria: Involve those who will use the rubric in shaping it. This builds shared understanding and increases relevance.
• Use them iteratively: Apply rubrics at key points to support reflection over time — not just at the end.
• Facilitate dialogue: Create space for people to explain their judgments and reasoning. Use rubrics as a prompt for conversation, not just a scoring tool.
• Document insights: Keep records of reflections and changes. This supports transparency and helps track learning.

Two examples from my work illustrate this in practice.

The Working at place rubric, developed through a national catchment improvement programme in New Zealand, supports agencies and partners in reflecting on what meaningful place-based work looks like. This single-point rubric sets out key criteria for effective engagement and impact, providing prompts and space for teams to discuss their current practices, share examples, and identify opportunities for improvement. It is designed to be used collaboratively, encouraging open dialogue and joint sense-making about progress in complex, place-based initiatives.

Similarly, the Partnerships rubric, developed over a decade of partnership and cross-sector evaluations, helps organisations and collaborators assess and strengthen the quality of their relationships and ways of working together. This tool is structured around dimensions of good partnership practice, each with descriptive prompts and reflection questions. It is intended not as a scoring mechanism, but as a guide for open-ended discussion, inclusive participation, and collective learning. Teams can use it to surface assumptions, celebrate strengths, and identify areas for growth — whether forming new partnerships, reviewing progress at key milestones, or adapting to changing circumstances.

Both tools exemplify how single-point rubrics can move beyond simple assessment, providing a flexible structure that fosters dialogue, builds shared understanding, and supports ongoing learning in complex, collaborative settings.

Closing thoughts

Rubrics can be powerful tools for learning and decision-making. In complex, participatory settings, single-point rubrics offer particular strengths. They support open-ended reflection, collective judgment, and adaptive practice. They help hold a line of purpose while staying responsive to context. None of this is about letting go of independence or rigour. But in complex settings, independence is held differently — it’s not about distance; it’s about perspective. Evaluators and teams working this way stay grounded in purpose, ask questions that surface insight, and help sharpen collective judgement.

The rigour lies in reflection, shared inquiry, and staying close to what matters. A well-used single-point rubric doesn’t deliver verdicts; it invites meaningful sense-making — making space for what’s emerging, and helping teams respond thoughtfully, not reactively. As interest in more relational, systems-oriented ways of working grows, tools like these can help teams reflect, learn, and act together — without needing all the answers in advance.

This post was originally published on Learning for Sustainability, a site I curate to share reflections, tools, and resources for supporting collaboration, systems change, and adaptive practice in complex settings.

You’ll find related material on:

• Rubrics
• Complexity-aware evaluation
• Theory of change

Feel free to explore the site, share the post, or sign up for occasional updates on new tools, reflections, and resources.

In complex, collaborative initiatives, outcomes often emerge over time and perspectives on value may differ. In these settings, evaluation needs to do more than measure results. It must support reflection, learning, and practical sense-making throughout the life of an initiative.

This post shares five grounded patterns from complexity-aware monitoring, evaluation and learning (CAMEL). These are not linear steps, but recurring practices that help teams navigate uncertainty, explore what is changing, and strengthen coherence over time.

It also reflects on what this approach asks of evaluators in practice, especially when independence is held differently — less as distance, and more as a grounded perspective that supports reflection and shared inquiry.

I’ve worked in long-term programmes where the most meaningful shifts weren’t always the easiest to measure. Changes in how partners related, how strategies evolved, or how systems aligned often made the real difference — but didn’t show up neatly in a dashboard.
In more conventional projects, evaluation focuses on fixed plans, short-term deliverables, and defined outcomes. But system change efforts unfold differently. They span longer timeframes, involve many actors, and aim to influence relationships, behaviours, and institutions. Outcomes are often emergent, and success looks different depending on who you ask.

This is where complexity-aware monitoring, evaluation and learning (CAMEL) comes in. It supports reflection, learning, and strategy — not by applying fixed criteria, but by helping people make sense of change as it happens.

And yet, when it comes time to evaluate, the pressure is often on to “prove impact.” Funders want targets. Teams want time to reflect. Outcomes are still unfolding — and the real questions aren’t just about what has changed, but how, why, and what it means.

This tension is common in areas like climate adaptation, food systems, freshwater management, and land use — where values diverge, and linear models of change fall short.

Many programmes in these fields operate in complex systems. Here, cause and effect are rarely straightforward, perspectives on value vary, and change emerges over time. Conventional approaches — especially those tied to predefined plans — can struggle to stay useful.

CAMEL offers a more adaptive alternative. It draws on systems thinking, participatory learning, and reflective practice to support real-time strategy and adjustment. When answers are uncertain and outcomes evolve, it helps teams pause, ask better questions, and notice what’s shifting.

While conventional methods remain useful for tracking defined outputs, CAMEL complements them with tools that support learning in dynamic settings. It also reframes accountability — focusing less on control, and more on explanation, adaptation, and transparency.

These reflections draw on long-term experience in collaborative evaluation and systems-focused programmes, together with learning from the broader field. In particular, it aligns with contributions from Herz et al. (2021), Rosenberg et al. (2025), and the Social Finance team (2023), all of which are highlighted on the Learning for Sustainability resource page on complexity-aware MEL.

Five patterns in complexity-aware MEL
Drawing on this research and practice, I’ve come to recognise five recurring patterns that characterise complexity-aware MEL. They’re not steps to follow but overlapping ways of working that reinforce each other.

1. Begin with grounding and orientation

Evaluation doesn’t start with metrics — it starts with people. In complex initiatives, that means building relationships, understanding context, and exploring how different groups see the purpose and direction of the work. This includes acknowledging history, inequity, and diverse values — and creating space to discuss what matters.

Developing a theory of change is part of this — not as a fixed blueprint, but as a shared orientation. While initial versions may be drafted by a lead agency or team, their real value lies in supporting ongoing dialogue and alignment.

Rather than focusing on fixed outcomes, CAMEL encourages attention to trajectories of interest — directions grounded in shared values. These help track shifts in relationships, systems, and practices over time.

This early orientation also informs later monitoring and evaluation. By surfacing key dynamics and uncertainties, it helps shape flexible indicators and supports adaptive management.

2. Make learning central, not an afterthought

In complex settings, learning isn’t an add-on — it’s how programmes adapt. That means making space for reflection throughout an initiative, not just at the end. This might include ‘pause-and-reflect’ sessions, peer learning loops, or structured debriefs. The aim isn’t to capture everything, but to prompt timely insight and course correction.

Theory of change work becomes valuable here — not as a static model, but as a tool for testing assumptions and adjusting direction. MEL becomes a support for learning, not just accountability.

Finding time for reflection isn’t always easy. Delivery pressures can crowd it out, and monitoring may feel like a tick box exercise. But without it, teams risk losing sight of where they’re heading — or what they’re learning.

The aim is to support social learning which extends beyond the programme team. In many initiatives, insights are shared across sites, with partners, or through tools that prompt wider reflection. Evaluators can support this by holding space for inquiry and helping programme teams and partners to use insights as they go.

3. Hold space for multiple perspectives of value

In complex initiatives, there’s rarely one view of what counts. Funders may prioritise measurable outcomes. Communities might focus on relationships or cultural continuity. Agencies and other stakeholders bring their own values. Rather than forcing consensus, complexity-aware evaluation holds space for difference. Collapsing everything into a single frame risks flattening what matters most.

Appreciating diverse perspectives means actively seeking different kinds of contribution. This might involve interviews, co-developing rubrics, or using methods like Outcome Harvesting or Most Significant Change. These help surface relational, ecological, cultural, and economic contributions — especially those linked to legitimacy, policy influence, or long-term system health.

Intermediate outcomes — like improved data practices, shifts in governance, or shared infrastructure — often signal the potential for deeper change. They create the enabling conditions for long-term impact, even when final outcomes remain uncertain.

Evaluators can support this broader view by asking: Whose definitions of success are shaping the story? What forms of value are visible — and what might be missing?

4. Support systemic co-design and adaptive management

Complex initiatives rarely follow a straight line. Evaluation can help teams zoom in and out — across timeframes and scales — to notice both details and the bigger picture. This can surface unseen relationships, feedback loops, leverage points, and blind spots.

This is especially important in initiatives that span multiple systems — like climate adaptation, freshwater management, or food systems — where progress depends on working across sectors and institutions. When teams are deep in delivery, shifting dynamics can be hard to see. Evaluation helps reveal what’s changing, how people are responding, and where new opportunities may lie.

CAMEL approaches work well alongside systemic co-design. These collaborative, multi-stakeholder processes often unfold over extended periods and involve multiple layers of decision-making. Evaluation helps support this by aligning learning with direction — connecting what’s emerging on the ground with broader system goals.

Evaluators can support adaptive management by helping teams trace shifts and surface the thinking behind them. In complex systems, action evolves with learning. Evaluation helps legitimise change, prompt reflection, and support reorientation.

5. Design for reflection and use

In complexity-aware MEL, use isn’t a final step — it’s designed from the start. Insights land best when they’re co-created, timely, and relational — not delivered as verdicts after the fact. That’s why participatory approaches are common here — not as an add-on, but as part of a different stance. Rather than reporting from the outside, evaluators co-create findings with others.

Interpreting insights together, co-authoring reports, and co-designing simple reflection tools all help teams internalise learning. These shared processes provide valuable moments of reflection — not just for the team and partners, but for the evaluator too. The goal is less about delivering conclusions, and more about enabling real-time inquiry, insight, and adjustment.

Tone and timing matter. Evaluation often holds up a mirror.In sensitive settings, how something is said — or how findings are shared — can shape how they’re received. Sharing insights in ways that support relationships — without diluting what matters — helps teams reflect, reframe, and move forward.

Designing for use also means leaving something behind — not just a document, but shared language, reflective habits, and strengthened capability. In some initiatives, final reports became prompts for internal dialogue or partner workshops. That signals a learning orientation that is active, embedded, and relational.

What this asks of evaluators
Working in complexity-aware ways changes how evaluators show up. It’s not just about using tools differently — it’s about adopting a different stance. Rather than arriving as external judges, evaluators using these approaches are often more effective when they step in as learning partners. It means creating space for reflection and helping people ask the questions that matter most.

In complex initiatives, causality is often unclear, outcomes emerge slowly, and people value different things. Evaluation becomes less about delivering answers, and more about helping people make sense of where they’ve been, where they are, and where they might go next. In complex situations, a well-timed question often opens more possibilities than jumping to answers.

Often, this means working across multiple accountabilities — delivery teams, strategic leaders, funders — each with their own priorities. Part of the role is helping these groups stay connected to purpose without losing sight of complexity.

Evaluators can also help create space for shared sense-making. That might mean light-touch tools, inviting diverse perspectives, or naming tensions in ways that support learning. In my experience, the most meaningful insights often emerge in these quiet moments — not through formal reporting alone.

None of this means giving up on independence. But in complexity, independence is held differently. It’s not about distance — it’s about perspective. Evaluators working in this way stay grounded in purpose, ask questions that surface insight, and help others sharpen their own judgement. The rigour comes from reflection, shared inquiry, and staying close to what matters.

Closing thoughts
Complexity-aware evaluation isn’t just a method — it’s a way of showing up. At its heart, CAMEL supports people and organisations to reflect, adapt, and learn their way into change. It asks us to see evaluation not as a moment of judgement, but as part of the longer arc of system stewardship.

That means designing CAMEL not just for short-term accountability, but to support longer-term coherence and connection. Done well, it strengthens shared intent and builds the relational infrastructure — trust, capability, and shared language — that enables work to continue through change.

CAMEL also recognises that value takes many forms. Environmental, cultural, social, and economic contributions all matter — at different scales and from different perspectives. This approach holds those views in conversation, without rushing to resolution.

And it reminds us that evaluation doesn’t just monitor progress — it shapes it. The way we design and implement CAMEL influences who gets to learn, what gets surfaced, and how decisions evolve. That’s why embedding the approach in planning, governance, and relationships matters. It’s not just technical — it’s strategic and ethical.

Yes, this work takes time. But sustainable change doesn’t happen on short cycles. Complexity-aware approaches help us to stay with the work long enough to learn, adjust, and make progress that lasts.

This post was originally published on Learning for Sustainability, a site I curate to support collaboration, systems thinking, and learning in complex, real-world work.

You can find additional resources on:

• Complexity-aware MEL
• Theory of Change
• Participatory evaluation

Feel free to explore the site, share the post, or sign up for occasional updates on new tools, reflections, and resources.

[* Image: AungMyo / Adobe Stock]

Raising awareness is important. But it rarely changes practice on its own.

Many sustainability initiatives still lean on familiar levers to drive change: legislation, incentives, and public education campaigns. Each of these has a role. But in practice, especially in complex or place-based settings, we often need more.

People don’t act based only on what they know. We are social, emotional, and embedded in relationships and routines. We respond to what others are doing, to what feels doable, and to the settings we are part of. Even in policy and science settings, behaviour is shaped by context and culture as much as by content.

That’s why simply raising awareness is rarely enough. In most of the place-based or cross-sector initiatives I’ve worked with, the issue isn’t a lack of knowledge. People already understand the challenges. What they need is support to act, together.

This also shifts how we think about public engagement itself. It’s not just about improving messaging, but about enabling the conditions for action. That means institutions working with people to co-create spaces for shared learning, coordination, and reflection. When we ask “What impact did this have?”, we’re looking for signs that the changes made helped shift routines, strengthen relationships, or enable more joined-up responses. These are the kinds of signals that matter when working in complex, real-world settings.

More recent behavioural insights and systems-based work have helped clarify this. They encourage us to look at:

• the settings in which behaviours occur, not just individual motivations
• the importance of networks and relationships, not just individual choices
• the role of practice and habits, not just beliefs and attitudes
• the need for alignment and coordination, not just persuasion

This shift in thinking matters when we are trying to support stewardship, kaitiakitanga, or other forms of collective responsibility. In these settings, outcomes depend on how well different actors align and support one another. No single message or campaign can achieve that.

Where legislation and incentives are hard to implement or enforce, these relational and systems-aware strategies offer another pathway. They also give us a better lens through which to assess whether conventional approaches are actually working. If we want to support lasting change, we need to focus not just on what people know, but on how they are supported to act.

So next time someone says “we just need to raise awareness,” it’s worth pausing. What if the challenge isn’t awareness, but alignment? Not more information, but better collaboration? Real shifts in practice depend on how well we navigate these deeper dimensions.

Closing reflection
This piece was first shared on Learning for Sustainability, where I explore what it takes to support real change in complex systems.

If you’re working at the intersection of sustainability, collaboration, and systems thinking, feel free to browse more reflections and tools on the site.

Navigating complexity today requires more than technical skills — it demands self-awareness and adaptability. Reflection acts like a rearview mirror, helping us analyse past actions, understand what worked, and refine our approach. Reflexivity, by contrast, happens in the moment, making us aware of how our thoughts, emotions, and behaviours actively shape outcomes. Both practices help us engage more effectively with challenges, relationships, and opportunities.

Mindfulness plays a key role in strengthening both reflection and reflexivity. By fostering present-moment awareness, it helps individuals and teams notice patterns, biases, and emotions, making these processes more intentional and effective. While mindfulness is a distinct practice in its own right, when combined with reflection and reflexivity, it deepens both retrospective learning and real-time adaptability.

These concepts are not new. They have long been foundational for individuals, teams, and organisations seeking adaptability and success. Reflection and reflexivity strengthen planning and evaluation by grounding them in lived experience and adaptability. They are not just complementary tools — they are essential for fostering deeper learning, awareness, and responsiveness. Yet, despite their importance, they are often overlooked, not formally included in our work, or practised only in name.

In this article, we’ll explore what reflection and reflexivity are, why they matter, and how to apply them in both personal and professional settings. Whether you’re working individually or as part of a team, these practices can strengthen decision-making, collaboration, and learning in meaningful ways.

Understanding reflection: looking back to move forward

Reflection is the process of stepping back to think critically about your actions and decisions. It’s widely used in fields like healthcare, where practitioners reflect on complex cases to refine their clinical judgment and improve patient outcomes. It helps us understand what happened, why it happened, and what we can learn from it. Think of it as looking in the rearview mirror to make sense of the road you’ve travelled.

Regardless of the form it takes, the value of reflection lies in asking the right questions to uncover insights and foster growth. By doing so, we can move beyond surface-level observations to identify the deeper factors shaping our experiences.

Key thinkers like Donald Schön and David Kolb have helped shape how we think about reflection. Kolb’s learning cycle shows how reflecting on our experiences helps us make sense of what happened and use that knowledge to improve next time. Schön’s ideas about reflecting in the moment (reflection-in-action) and looking back afterwards (reflection-on-action) remind us that reflection isn’t just about the past — it’s also about being more thoughtful and adaptive as we go.

There are also practical frameworks to guide the process. One widely used approach is Gibbs’ Reflective Cycle, which breaks reflection into clear steps: describing what happened, recognising your feelings, evaluating what worked (and what didn’t), analysing why it happened, drawing conclusions, and planning next steps. These steps help turn everyday experiences into valuable learning moments.

Expanding reflection: integrating mindfulness for deeper awareness

While structured reflective frameworks provide useful guidance, integrating mindfulness can deepen the quality of reflection. Mindfulness cultivates presence, helping us notice underlying patterns, emotional responses, and systemic influences more easily. Unlike reflection, which involves looking back, and reflexivity, which focuses on recognising our role in shaping situations, mindfulness centres on cultivating awareness in the present moment — whether or not one is engaged in reflective or reflexive thought. This ability to be fully present enhances both reflection (by helping us notice deeper emotional or cognitive patterns) and reflexivity (by increasing real-time awareness of how we influence interactions and decisions). For instance, in reflective journaling, taking a few moments of mindful stillness before writing can help surface insights that might otherwise be overlooked.

Mindfulness-based approaches such as guided breathing or body scans can help individuals engage both intuition and analysis, enriching reflection and decision-making. However, mindfulness is not simply a tool for these processes — it is also a practice in its own right. Many mindfulness traditions, particularly from Buddhist psychology, emphasise awareness and acceptance rather than structured analysis.

For example, in reflective journaling, one might analyse a recent conversation to understand their emotions and responses. In contrast, a simple mindfulness meditation practice might involve sitting quietly, focusing on the breath, and observing thoughts as they arise — without trying to change or interpret them. While the former involves structured reflection, the latter cultivates a habit of awareness that makes both reflection and reflexivity more effective.

By combining mindfulness with structured reflection, we can foster more nuanced, embodied learning that supports emotional resilience, self-awareness, and long-term growth. Good reflection looks at both obvious details and hidden influences. Mindfulness-based prompts can further enrich this process:

Content: What happened and why is it significant? Identify the key facts or outcomes.
Process: How did it unfold, and why was this the case? Look at the steps, interactions, and decisions that shaped the outcome.
Premises: Why did it happen this way? Question the values, assumptions, and frameworks influencing the situation.
Emotions: How did it make you or others feel? Recognise the emotional aspects to gain deeper insights into relational dynamics.

These prompts illustrate how reflective frameworks can be expanded or adapted to suit different needs, incorporating areas like emotional awareness or systemic factors. Reflective practices, such as After Action Reviews (AARs) and learning debriefs offer structured ways to frame questions and encourage collaborative learning. My post, titled After Action Reviews — and how they can support strategic thinking, highlights how AARs create opportunities for teams to collectively review what worked, what didn’t, and how to adapt for the future.

By integrating mindfulness and structured reflection, we move beyond surface-level insights to deeper, embodied learning. This helps us not only respond to challenges but also build resilience, self-awareness, and a more intentional approach to growth.

Understanding reflexivity: staying aware in the moment

Reflexivity invites mindfulness — pausing to connect with the moment. Time in nature, brief moments of stillness, or simply bringing awareness to how we interact in meetings can all serve as mindfulness-based reflexive practices.

While reflection looks back, reflexivity happens in the moment. It’s about being critically aware of how your own values, assumptions, and actions shape what’s happening. Reflexivity means recognising that you are not a neutral observer but an active participant in shaping outcomes and interactions. This real-time adaptability helps you adjust on the fly, making it especially useful in dynamic, relational, or high-stakes contexts.

Imagine you’re in a meeting, and you realise you’ve been making assumptions about a colleague’s perspective. Reflexivity enables you to pause, question those assumptions, and invite their input instead. This awareness fosters better communication and decision-making. Reflexivity isn’t just about intellectual understanding — it also involves tuning into your emotional and physical reactions. These gut-level responses can act as powerful signals, alerting you to unspoken assumptions, biases, or dynamics influencing the situation.

In the social sciences, reflexivity is often linked to double-loop learning, a concept introduced by Chris Argyris. Double-loop learning encourages practitioners not just to question how things are done, but to ask why they are done that way. John James and Denise Bewsell’s post, Unravelling double-loop learning, explores how questioning deep-seated assumptions — rather than just adjusting surface-level strategies — can lead to more meaningful change. Their insights reinforce how reflexivity can transform not just individual understanding but also collective ways of working. For example, in educational research, a teacher might move from simply adjusting their teaching methods (single-loop learning) to questioning their underlying beliefs about how students learn best, potentially transforming their entire approach to education.

Mindfulness is a key practice for developing reflexivity, helping individuals cultivate awareness in the moment. By cultivating present-moment awareness, mindfulness enhances our ability to notice our thoughts, emotions, and reactions as they occur. This self-awareness allows you to respond intentionally rather than react automatically, making mindfulness an invaluable tool for reflexive practice. Simple practices such as:

> Noticing bodily cues (e.g., tension before making a decision)
> Taking a deep breath to reset awareness before responding
> Pausing for five seconds before reacting in discussions

… can open space for reflexivity, allowing us to challenge unconscious biases or assumptions in real time.

For teams, reflexive mindfulness can be embedded in meeting structures — for example, incorporating moments of silent reflection before decision-making, or using “check-in” prompts at the start of discussions to bring awareness to group dynamics and biases. The important thing is to create an environment where members feel safe to question assumptions and explore their impact. During a project discussion, for example, a team might ask: “Are we considering everyone’s perspectives? What biases might be influencing our approach?” Such dialogue can work to strengthen collaboration, ethical engagement, and shared learning.

Reflexivity is not a one-time activity but an ongoing process of self-examination and adjustment. While it requires honesty and vulnerability, tools like reflexive journals or guided prompts can help individuals track how their perspectives evolve over time. Similarly, organisations can encourage reflexivity by providing training on recognising biases, fostering open dialogue, and creating spaces for collaborative reflection. Reflective debriefs and stakeholder mapping can help teams stay aligned with their values and goals.

The value of reflection and reflexivity in work and life

Far from being abstract concepts, reflection and reflexivity provide essential tools for navigating complexity and fostering growth at individual, team, and organisational levels.

For individuals, reflection and reflexivity enhance self-awareness, leading to more informed decisions and fresh perspectives. Reflection allows you to analyse past experiences, while reflexivity helps you notice how your thoughts, emotions, and assumptions shape present actions. Reflexivity bridges thought and feeling, helping you recognise emotional cues and gut instincts that offer deeper insights. Developing these habits can improve problem-solving, build resilience, and make it easier to navigate high-pressure situations.

For teams, these practices strengthen collaboration and innovation. Reflection enables groups to learn from their experiences, identifying what worked and what didn’t. Reflexivity, on the other hand, helps teams adapt in real time — surfacing hidden biases, assumptions, or power dynamics that might otherwise go unnoticed. Together, these approaches create more inclusive, adaptive, and effective teams.

At an organisational level, reflection and reflexivity drive continuous improvement and adaptability. A culture of reflection encourages employees to question existing processes and propose meaningful changes, while reflexivity enables teams to critically examine their assumptions and decision-making frameworks. When embedded into organisational practices — through training, open dialogue, and structured learning cycles — these approaches help align actions with core values, improve stakeholder engagement, and enhance ethical decision-making.

To see these concepts in practice, consider a team reflecting on a missed deadline. A reflective approach might involve reviewing workflow efficiency, identifying bottlenecks, and adjusting processes for future projects. A reflexive approach goes further — prompting the team to question whether their initial assumptions about timelines or priorities were realistic in the first place. By integrating both perspectives, teams not only solve immediate issues but also develop more sustainable ways of working.

If you are looking for structured tools to integrate these practices, visit the reflective and reflexive practice resources page on the Learning for Ssutainability site. It provides links to guides, frameworks, and theoretical perspectives to help individuals, teams, and organisations apply these approaches effectively.

Putting reflection and reflexivity into practice

In a fast-changing world, reflection and reflexivity provide powerful tools to navigate complexity, foster growth, and create meaningful change. As we’ve explored, reflection allows us to learn from the past and apply those lessons to future practice, while reflexivity keeps us attuned to how our actions and assumptions influence the present. Together, they help individuals, teams, and organisations adapt, innovate, and thrive in dynamic environments.

These concepts, however, come with challenges. Reflection can feel difficult due to time constraints or the discomfort of critically evaluating past work, outputs, or decisions, while reflexivity requires honesty and vulnerability, which can feel unsettling but is essential for meaningful growth. Overcoming these barriers requires intentional effort, setting aside time, and using structured tools to guide the process.

Despite these challenges, the benefits far outweigh the effort. Reflection helps us extract valuable lessons and identify actionable steps, while reflexivity fosters real-time adaptability and stronger connections with others. The key is to start small and stay consistent. Simple actions like the following can make a significant impact over time:

Make time for reflection: Build habits like end-of-day journaling or team debriefs to regularly assess your actions and decisions.
Ask powerful questions: Use prompts such as “What worked well? What assumptions might I need to challenge?” to foster deeper insights.
Practise mindfulness: Engage in techniques like focused breathing or brief meditations to increase present-moment awareness.
Encourage open dialogue: Create team environments where assumptions are questioned, and diverse perspectives are encouraged.

By embedding reflection, reflexivity, and mindfulness into daily practice, we strengthen our ability to navigate challenges, engage with others, and respond to change. These practices aren’t about achieving perfection — they’re about continuous learning, adaptation, and growth.

Start small, stay consistent, and trust the process. Whether at the individual, team, or organisational level, reflection and reflexivity empower us to create more thoughtful, inclusive, and effective outcomes.

[An earlier version of this article appeared on the Learning for Sustainability knowledge hub.]

This post complements the Learning for Sustainability knowledge hub page for this topic — Reflection and reflexivity — which points to guides and resources in this area. A number of other Learning for Sustainability pages provide additional information on this topic. These practices are closely linked to planning, monitoring and evaluation (PM&E), as well as systems thinking, action research and adaptive management.