Future Of Work

Some technologies don’t just solve problems — they give people their independence back. I rediscovered Liftware, and I was genuinely moved by what it can do. It looks simple: a smart handle connected to everyday utensils. But inside, it’s a powerful piece of engineering designed for people with hand tremors (Parkinson’s, essential tremor, and more). Here’s how it works: 🔹 Sensors detect tiny hand movements in real time 🔹 Micro-motors instantly counteract the tremor 🔹 The spoon or fork stays stable — even if the hand doesn’t The result? Up to 70% less shaking. And for many people, that means eating soup again… without help. This is technology at its best: invisible, intelligent, and deeply human. 💡 My take Most people don’t know this, but Liftware was developed by a small startup before being acquired by Google’s life sciences division (now Verily). What makes it remarkable is the engineering challenge: the device doesn’t try to stop the tremor — it predicts and cancels it. It’s basically a tiny real-time AI system… hidden inside a spoon. This is the future I love: not just smarter devices, but more compassionate ones. If you’ve seen other innovations that genuinely improve people’s lives, I’d love to discover them. What’s one piece of tech-for-good that inspired you recently? #techforgood #innovation #technology #healthtech #accessibility #assistivetechnology #futureofhealth #inclusiveDesign #AI #impact

Just out in Harvard Business Review, summary of the Hybrid Experiment results and lessons on how to make hybrid succeed. Experiment: randomize 1600 graduate employees in marketing, finance, accounting and engineering at Trip.com into 5-days a week in office, or 3-days a week in office and 2-days a week WFH. Analyzed 2 years of data. Two key results A) Hybrid and fully-in-office showed no differences in productivity, performance review grade, promotion, learning or innovation. B) Hybrid had a higher satisfaction rate, and 35% lower attrition. Quit-rate reductions were largest for female employees. Four managerial lessons 1) Hybrid needs a strong performance management system so managers don’t need to hover over employees at their desks to check their progress. Trip.com had an extensive performance review process every six months. 2) Coordinate in-office days at the team or company level. Schedule clarity prevents the frustration of coming to an empty office only to participate in Zoom calls. Trip.com coordinated WFH on Wednesday and Friday. 3) Having leadership buy-in is critical (as with most management practices). Trip.com’s CEO and C-suite all support the hybrid policy. 4) A/B test new policies (as well as products) if possible. Often new policies turn out to be unexpectedly profitable. Trip.com made millions of dollars more profits from hybrid by cutting expensive turnover.

A Return To Office mandate is a funny thing. A trade-off of lower workforce productivity, morale, retention, engagement, and trust in exchange for...managers feeling more in control. It's more a sign of insecurity and incompetence than sound decision-making. The fact that 80% of executives who have pushed for RTO mandates have later regretted their decision only makes the point further, and yet every few months more leaders line up to pad this statistic. In case your leaders have forgotten, return to office mandates are associated with: 🔻 16% lower intent to stay among the highest-performing employees (Gartner) 🔻 10% less trust, psychological safety, and relationship quality between workers and their managers (Great Place to Work) 🔻 22% of employees from marginalized groups becoming more likely to search for new jobs (Greenhouse) 🔻 No significant change in financial performance while guaranteeing damage to employee satisfaction (Ding and Ma, 2024) The thing is, we KNOW how to do hybrid work well at this point. 🎯 Allow teams to decide on in-person expectations, and hold people accountable to it—high flexibility; high accountability. 🎯 Make in-person time unique and valuable, with brainstorming, events, and culture-building activities—not video calls all day in the office. 🎯 Value outcomes, not appearances, of productivity—reward those who get their work done regardless of where they do it. 🎯 Train inclusive managers, not micromanagers—build in them the skills and confidence to lead with trust rather than fear and insecurity. Leaders that fly in the face of all this data to insist that workers return to office "OR ELSE" communicate one thing: they are the kinds of leaders that place their own egos and comfort above their shareholders and employees alike. Faced with the very real test of how to design the hybrid workforce of the future, these leaders chose to throw a tantrum in their bid to return to the past, and their organizations will suffer for it. The leaders that will thrive in this time? Those that are willing to do the work. Those that are willing to listen to their workforce, skill up to meet new needs, and claim their rewards in the form of the best talent, higher productivity, and the highest level of worker loyalty and trust. Will that be you?

Last week, I described four design patterns for AI agentic workflows that I believe will drive significant progress: Reflection, Tool use, Planning and Multi-agent collaboration. Instead of having an LLM generate its final output directly, an agentic workflow prompts the LLM multiple times, giving it opportunities to build step by step to higher-quality output. Here, I'd like to discuss Reflection. It's relatively quick to implement, and I've seen it lead to surprising performance gains. You may have had the experience of prompting ChatGPT/Claude/Gemini, receiving unsatisfactory output, delivering critical feedback to help the LLM improve its response, and then getting a better response. What if you automate the step of delivering critical feedback, so the model automatically criticizes its own output and improves its response? This is the crux of Reflection. Take the task of asking an LLM to write code. We can prompt it to generate the desired code directly to carry out some task X. Then, we can prompt it to reflect on its own output, perhaps as follows: Here’s code intended for task X: [previously generated code] Check the code carefully for correctness, style, and efficiency, and give constructive criticism for how to improve it. Sometimes this causes the LLM to spot problems and come up with constructive suggestions. Next, we can prompt the LLM with context including (i) the previously generated code and (ii) the constructive feedback, and ask it to use the feedback to rewrite the code. This can lead to a better response. Repeating the criticism/rewrite process might yield further improvements. This self-reflection process allows the LLM to spot gaps and improve its output on a variety of tasks including producing code, writing text, and answering questions. And we can go beyond self-reflection by giving the LLM tools that help evaluate its output; for example, running its code through a few unit tests to check whether it generates correct results on test cases or searching the web to double-check text output. Then it can reflect on any errors it found and come up with ideas for improvement. Further, we can implement Reflection using a multi-agent framework. I've found it convenient to create two agents, one prompted to generate good outputs and the other prompted to give constructive criticism of the first agent's output. The resulting discussion between the two agents leads to improved responses. Reflection is a relatively basic type of agentic workflow, but I've been delighted by how much it improved my applications’ results. If you’re interested in learning more about reflection, I recommend: - Self-Refine: Iterative Refinement with Self-Feedback, by Madaan et al. (2023) - Reflexion: Language Agents with Verbal Reinforcement Learning, by Shinn et al. (2023) - CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing, by Gou et al. (2024) [Original text: https://lnkd.in/g4bTuWtU ]

Louder for the people at the back 🎤 Many organisations today seem to have shifted from being institutions that develop great talent to those that primarily seek ready-made talent. This trend overlooks the immense value of individuals who, despite lacking experience, possess a great attitude, commitment, and a team-oriented mindset. These qualities often outweigh the drawbacks of hiring experienced individuals with a fixed and toxic mindset. The best organisations attract talent with their best years ahead of them, focusing on potential rather than past achievements. Let’s be clear this is more about mindset and willingness to learn and unlearn as apposed to age. To realise the incredible potential return, organisations must commit to creating an environment where continuous development is possible. This requires a multi-faceted approach: 1. Robust Training Programmes: Employers should invest in comprehensive training programmes that equip employees with the necessary skills for their roles. This includes on-the-job training, mentorship programmes, online courses, and workshops. 2. Redefining Hiring Criteria: Organisations should revise their hiring criteria to focus more on candidates’ potential and willingness to learn rather than solely on prior experience or formal qualifications. Behavioural interviews, aptitude tests, and probationary periods can help assess a candidate's ability to learn and adapt. 3. Partnerships with Educational Institutions: Companies can collaborate with educational institutions to design curricula that align with industry needs. Apprenticeship programmes, internships, and cooperative education can bridge the gap between academic learning and practical job skills. 4. Lifelong Learning Culture: Encouraging a culture of lifelong learning within organisations is crucial. Employers should provide ongoing education opportunities and support for professional development. This includes continuous skills assessment and access to resources for upskilling and reskilling. 5. Inclusive Recruitment Practices: Employers should implement inclusive recruitment practices that remove biases and barriers. Blind recruitment, diversity quotas, and targeted outreach programmes can help ensure that diverse candidates are given a fair chance. By implementing these measures, organisations can develop a workforce that is adaptable, innovative, and resilient, ensuring sustainable success and growth.

Early in my facilitation career, I made a big mistake. Spent hours crafting engaging activities and perfecting every little detail… Thinking that amazing learning design is what would make my workshops stand out and get me rehired. Some went great. Some bombed. You know the ones, sessions where: - One participant dominated the conversation. - People quietly disengaged, barely participating. - half the group visibly frustrated but not saying anything. I would push through, hoping things would course-correct. But by the end, it was a bit… meh. I knew my learning design was great so... What was I missing? Why the inconsistency between sessions? 💡I relied too much on implicit agreements. I realised that I either skipped or rushed the 'working agreements'. Treating it like a 'tick' box exercise. And it's here I needed to invest more time Other names for this: Contract, Culture or Design Alliance, etc... Now, I never start a session without setting a working agreement. And the longer I'm with the group, the longer I spend on it. 25 years of doing this. Here are my go-to Qs: 🔹 What would make this session a valuable use of your time? → This sets the north star. It ensures participants express their needs, not just my agenda. 🔹 What atmosphere do we want to create? → This sets the mood. Do they want an energising space? A reflective one? Let them decide. 🔹 What behaviours will support this? → This makes things concrete. It turns abstract hopes into tangible agreements. 🔹 How do we want to handle disagreement? → This makes it practical. Conflict isn’t the problem—how we navigate it is. ... The result? - More engaged participants. - Smoother facilitation. - Ultimately, a reputation as the go-to person for high-impact sessions. You probably already know this. But if things don't go smoothly in your session. Might be worth investing a bit more time at the start to prevent problems later on. Great facilitation doesn't just happen, It's intentional, and it's designed. ~~ ♻️ Share if this is a useful reminder ✍️ Have you ever used a working agreement in your workshops? What’s one question you always ask? Drop it in the comments!

The most dangerous career strategy in 2025: Following a path that worked for everyone before you. Over the last few weeks, my inbox has been flooded with messages of strife and anxiety from brilliant people blindsided by layoffs. To be honest, there is very little I can say to many. Most played the game of life perfectly. They went to great schools, got good grades, landed prestigious jobs, and worked hard. Their stories raises a critical question: What if it's not just specific jobs disappearing, but a fundamental flaw in how we've viewed careers and success? The linear world we've grown accustomed to is abruptly being disrupted. The ladders that guaranteed safety and success no longer hold their promise. For decades, we've operated under the belief that: → Business success comes from perfect execution → Career paths follow logical progression → Expertise can reliably predict the future My friend Gaetan recently said: "What if success was always more random than we wanted to believe? What if strategic planning was always more about the illusion of control than actual causality?" Navigating uncertainty now requires us to: → Judge the quality of our decisions not just results → Embrace uncertainty over false certainty → Recognize success as probabilistic For individuals navigating this shift: → Build skill portfolios, not linear paths → Combine skills uniquely; avoid single specialties → Design for uncertainty, not control → Test multiple career options → Adapt quickly; don’t chase perfection → Diversify income streams Following these principles won't just help you withstand career shocks, it makes you antifragile, allowing you to grow stronger from volatility and stress. The human cost of layoffs extends beyond financial insecurity; it's the painful realization that playing by the rules perfectly was never a guaranteed protection. Yet within this destabilizing reality lies a massive opportunity: to redefine success itself. Success shouldn't be a singular path to follow, but the freedom to create multiple paths of your own design. The true cost of clinging to old models isn't just stalling your career; it's missing the chance to discover who you might become when you stop following and start creating.

𝗜𝘀 𝗯𝗲𝗶𝗻𝗴 𝗽𝗿𝗲𝘁𝘁𝘆 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗴𝗲𝘁 𝘆𝗼𝘂 𝘁𝗵𝗮𝘁 𝗷𝗼𝗯? — 𝘴𝘵𝘶𝘥𝘺 𝘴𝘢𝘺𝘴 𝘮𝘢𝘺𝘣𝘦. We often talk about meritocracy in hiring — but research keeps reminding us how easily optics overshadow objectivity. 📊 A 2024 study by Harvard Business Review found that 𝗼𝘃𝗲𝗿 𝟱𝟬% 𝗼𝗳 𝗺𝗮𝗻𝗮𝗴𝗲𝗿𝘀 𝘀𝘂𝗯𝗰𝗼𝗻𝘀𝗰𝗶𝗼𝘂𝘀𝗹𝘆 𝗳𝗮𝗰𝘁𝗼𝗿 𝗶𝗻 𝗮𝗽𝗽𝗲𝗮𝗿𝗮𝗻𝗰𝗲 𝘄𝗵𝗲𝗻 𝗺𝗮𝗸𝗶𝗻𝗴 𝗵𝗶𝗿𝗶𝗻𝗴 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀. Similarly, research in the 𝘑𝘰𝘶𝘳𝘯𝘢𝘭 𝘰𝘧 𝘈𝘱𝘱𝘭𝘪𝘦𝘥 𝘗𝘴𝘺𝘤𝘩𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘗𝘴𝘺𝘤𝘩𝘰𝘭𝘰𝘨𝘪𝘤𝘢𝘭 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 confirms that 𝗮𝘁𝘁𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀 𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝗹𝗶𝗸𝗲𝗹𝘆 𝘁𝗼 𝗯𝗲 𝗿𝗮𝘁𝗲𝗱 𝗮𝘀 𝗰𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝘁, 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁, 𝗮𝗻𝗱 𝗾𝘂𝗮𝗹𝗶𝗳𝗶𝗲𝗱 — even when their résumés are identical to less “polished” counterparts. This isn’t vanity; it’s psychology. It’s called the “𝗵𝗮𝗹𝗼 𝗲𝗳𝗳𝗲𝗰𝘁” — a cognitive bias where one positive trait (like appearance or confidence) spills over to how we judge unrelated qualities (like intelligence or leadership). And it’s costly. Because every time we let surface cues dictate selection, we risk 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗾𝘂𝗶𝗲𝘁 𝗯𝗿𝗶𝗹𝗹𝗶𝗮𝗻𝗰𝗲 that doesn’t advertise itself well. The solution isn’t to ignore presentation — it’s to balance perception with structure: • 𝗨𝘀𝗲 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 and 𝘀𝗸𝗶𝗹𝗹-𝗯𝗮𝘀𝗲𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻𝘀. • Involve 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝗻𝗲𝗹𝘀 to reduce individual bias. • Train leaders to recognize 𝗵𝗮𝗹𝗼 𝗮𝗻𝗱 𝗵𝗼𝗿𝗻 𝗲𝗳𝗳𝗲𝗰𝘁𝘀 — before they unconsciously act on them. 💬 𝘐𝘯 𝘭𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱, 𝘴𝘦𝘦𝘪𝘯𝘨 𝘤𝘭𝘦𝘢𝘳𝘭𝘺 𝘣𝘦𝘨𝘪𝘯𝘴 𝘸𝘪𝘵𝘩 𝘴𝘦𝘦𝘪𝘯𝘨 𝘰𝘶𝘳 𝘰𝘸𝘯 𝘣𝘭𝘪𝘯𝘥 𝘴𝘱𝘰𝘵𝘴. #HiringBias #OrganizationalPsychology #Leadership #UnconsciousBias #DEI #FutureOfWork

Stop wasting meetings! Too many meetings leave people unheard, disengaged, or overwhelmed. The best teams know that inclusion isn’t accidental—it’s designed. 🔹 Here are 6 simple but powerful practices to transform your meetings: 💡 Silent Brainstorm Before discussion begins, have participants write down their ideas privately (on sticky notes, a shared document, or an online board). This prevents groupthink, ensures introverted team members have space to contribute, and brings out more original ideas. 💡 Perspective Swap Assign participants a different stakeholder’s viewpoint (e.g., a customer, a frontline employee, or an opposing team). Challenge them to argue from that perspective, helping teams step outside their biases and build empathy-driven solutions. 💡 Pause and Reflect Instead of jumping into responses, introduce intentional pauses in the discussion. Give people 30-60 seconds of silence before answering a question or making a decision. This allows for deeper thinking, more thoughtful contributions, and space for those who need time to process. 💡 Step Up/Step Back Before starting, set an expectation: those who usually talk a lot should "step back," and quieter voices should "step up." You can track participation or invite people directly, helping create a more balanced conversation. 💡 What’s Missing? At the end of the discussion, ask: "Whose perspective have we not considered?" This simple question challenges blind spots, uncovers overlooked insights, and reinforces the importance of diverse viewpoints in decision-making. 💡 Constructive Dissent Voting Instead of just asking for agreement, give participants colored cards or digital indicators to show their stance: 🟢 Green – I fully agree 🟡 Yellow – I have concerns/questions 🔴 Red – I disagree Focus discussion on yellow and red responses, ensuring that dissenting voices are explored rather than silenced. This builds a culture where challenging ideas is seen as valuable, not risky. Which one would you like to try in your next meeting?  Let me know in the comments! 🔔 Follow me to learn more about building inclusive, high-performing teams. __________________________ 🌟 Hi there! I’m Susanna, an accredited Fearless Organization Scan Practitioner with 10+ years of experience in workplace inclusion. I help companies build inclusive cultures where diverse, high-performing teams thrive with psychological safety. Let’s unlock your team’s full potential together!

From Blueprint to Battlefield: Reinventing Enterprise Architecture for Smart Manufacturing Agility
   Core Principle: Transition from a static, process-centric EA to a cognitive, data-driven, and ecosystem-integrated architecture that enables autonomous decision-making, hyper-agility, and self-optimizing production systems.   To support a future-ready manufacturing model, the EA must evolve across 10 foundational shifts — from static control to dynamic orchestration.   Step 1: Embed “AI-First” Design in Architecture Action: - Replace siloed automation with AI agents that orchestrate workflows across IT, OT, and supply chains. - Example: A semiconductor fab replaced PLC-based logic with AI agents that dynamically adjust wafer production parameters (temperature, pressure) in real time, reducing defects by 22%.   Shift: From rule-based automation → self-learning systems.   Step 2: Build a Federated Data Mesh Action: - Dismantle centralized data lakes: Deploy domain-specific data products (e.g., machine health, energy consumption) owned by cross-functional teams. - Example: An aerospace manufacturer created a “Quality Data Product” combining IoT sensor data (CNC machines) and supplier QC reports, cutting rework by 35%.   Shift: From centralized data ownership → decentralized, domain-driven data ecosystems.   Step 3: Adopt Composable Architecture Action: - Modularize legacy MES/ERP: Break monolithic systems into microservices (e.g., “inventory optimization” as a standalone service). - Example: A tire manufacturer decoupled its scheduling system into API-driven modules, enabling real-time rescheduling during rubber supply shortages.   Shift: From rigid, monolithic systems → plug-and-play “Lego blocks”.   Step 4: Enable Edge-to-Cloud Continuum Action: - Process latency-critical tasks (e.g., robotic vision) at the edge to optimize response times and reduce data gravity. - Example: A heavy machinery company used edge AI to inspect welds in 50ms (vs. 2s with cloud), avoiding $8M/year in recall costs.   Shift: From cloud-centric → edge intelligence with hybrid governance.   Step 5: Create a “Living” Digital Twin Ecosystem Action: - Integrate physics-based models with live IoT/ERP data to simulate, predict, and prescribe actions. - Example: A chemical plant’s digital twin autonomously adjusted reactor conditions using weather + demand forecasts, boosting yield by 18%.   Shift: From descriptive dashboards → prescriptive, closed-loop twins.   Step 6: Implement Autonomous Governance Action: - Embed compliance into architecture using blockchain and smart contracts for trustless, audit-ready execution. - Example: A EV battery supplier enforced ethical mining by embedding IoT/blockchain traceability into its EA, resolving 95% of audit queries instantly.   Shift: From manual audits → machine-executable policies.   Continue in 1st and 2nd comments.   Transform Partner – Your Strategic Champion for Digital Transformation   Image Source: Gartner