HobbyConnect: Connect, Unite, and Grow together

UX/UI Case Study

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HobbyConnect was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

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PawSphere was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

HobbyConnect — Connecting people through shared passions. was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

LoungeNow: How I Redesigned Airport Lounge Access — A UX/UI Design Story

Airports are designed to move people efficiently.
But the experience of waiting? That’s where things start to break.

Somewhere between security checks, delayed flights, and gate changes, travelers look for a moment of calm — and that’s where airport lounges come in. Or at least, that’s the expectation.

In reality, accessing a lounge often feels like solving a puzzle: “Am I eligible? Which card works here? How long is the wait? Is it even worth trying?”

What should be a moment of relief ends up becoming another source of stress.

That disconnect is what led me to design LoungeNow.

🧩 What is LoungeNow — and Why Does It Exist?

LoungeNow is designed around a simple idea: airport lounge access shouldn’t feel uncertain.

It brings together everything a traveler needs to know — eligibility, availability, and wait times — in one place, in real time.

So instead of asking:
“Will this work?”
Users can move forward knowing:
“This is what to expect.”

At its core, LoungeNow isn’t just about accessing lounges. It’s about giving users clarity when they need it the most — in fast-moving, high-pressure environments where small uncertainties quickly turn into stress.

🤔 Why This Problem Matters

At first glance, lounge access feels like a small part of the airport experience. But it sits at a very specific moment — when users are already tired, time-conscious and mentally overloaded.

In that state, even small uncertainties feel amplified. Not knowing whether you’ll get access, or how long you’ll have to wait, often becomes enough to make people give up entirely.

What should feel like a moment of comfort ends up becoming another decision to navigate.

🔍 Looking Beneath the Surface

Empathize — Secondary Research

To understand this better, I started by exploring how the system itself works.

Airport lounges aren’t standalone services. They’re shaped by a network of partnerships between airlines, credit cards and membership programs — each with its own rules and conditions. From a system perspective, this complexity makes sense. From a user perspective, it feels fragmented.

I then looked at existing products — lounge booking platforms, airline apps, and travel services. What stood out wasn’t the lack of features, but the lack of clarity. Information existed, but it wasn’t consolidated. Eligibility could be found, but not easily understood in the moment. And most importantly, real-time context was missing.

The problem wasn’t just the absence of information — it was also the effort required to make sense of it.

These patterns started to emerge:

🎤 Talking to Travelers

Empathize — Primary Research

To move beyond assumptions, I spoke to users.

I started with a survey to understand patterns: who uses lounges, how often and in what situations.
From there, I conducted interviews with 6 people to go deeper into how they actually experience this process.

What I was really trying to understand wasn’t just behavior, but emotion — what it feels like to make these decisions in real time, in an airport environment.

💬 What Kept Coming Up

Empathize — Research Insights

Across conversations, one theme kept repeating.

People don’t avoid lounges because they don’t value them. They avoid them because the process feels uncertain.

They described jumping between apps, double-checking information and still not feeling confident. Some mentioned standing in queues without knowing how long the wait would be, while others said they simply stopped trying because it didn’t feel worth the effort.

“I don’t mind waiting. I just don’t want to guess.”

Their consolidated frustrations solidified the patterns discovered earlier.

👤 Understanding the Users

Define — Personas

As I started mapping these behaviors, two distinct patterns emerged.
Some users rely on lounges frequently and expect the experience to be fast and predictable. Others approach it more selectively, wanting clarity before they commit.

With this, I created two user personas.

Ananth Sharma

💼 A frequent traveler who values efficiency, relying on predictable and seamless lounge access to stay productive on the go.

Aarya Nair

✈️ A thoughtful planner who seeks clarity and comfort, ensuring lounge access is worth the effort before she travels.

🗺️ Where the Experience Breaks

Define — User Journey Mapping

Mapping the journey made this even clearer.

The biggest friction points didn’t happen at the lounge itself, but earlier — while checking eligibility, deciding whether to go and waiting without visibility.

These are moments filled with hesitation.
“Should I even try?”

💡 A Shift in Perspective & Exploring Directions

Ideate— HMW + Crazy 8s

At this point, the problem needed reframing.

I moved into ideation using How Might We (HMW) statements and Crazy 8s. I explored multiple directions, from booking systems to recommendation-based approaches. But most of them added layers without addressing the core issue.

The idea that kept coming back was simpler — focus on visibility, not complexity.

🧱 Structuring the Experience

Ideate — User Flows & Information Architecture

Before designing screens, I mapped how users move through the experience — from discovery to decision-making to access.

At the same time, I structured information so that the most important details were always visible upfront, reducing the need for searching and second-guessing.

✏️ From Structure to Screens

Design — Wireframing

Wireframes translated these ideas into tangible layouts, focusing on clarity, hierarchy and ease of navigation.

They didn’t land in their final form immediately. The process was highly iterative.

I explored multiple layouts and interaction patterns, testing different ways to structure information and guide user decisions. Each version helped uncover what worked and more importantly, what didn’t, gradually shaping a clearer and more intuitive flow.

These iterations led to a more refined direction, where the focus shifted toward simplifying the experience and prioritizing the most relevant information.

The following wireframes represent the final structure — designed to help users quickly understand their options and move forward with clarity.

🎨 Designing for the Context

Design — Visual Design

The interface was designed to feel calm, clear and easy to navigate in a high-stress environment. Every decision, from layout to typography, focused on reducing cognitive load and improving readability.

So I moved into the visual system for LoungeNow which was built to feel calm, clear and easy to trust — almost like the lounge experience it’s trying to unlock.

Typography follows the same principle of clarity.
Roboto is used for headings to create strong visual anchors, while Inter is used for body text for its high legibility on screens. A consistent type scale helps keep content easy to scan.

The palette takes cues from premium lounges.
Deep blues create a sense of trust, muted greens add calm and deep greys provide high readability without overwhelming the interface. All colors were chosen with accessibility in mind to ensure strong contrast.

📱 Bringing It All Together

Design — Mockups

With the structure and visual direction in place, the wireframes were translated into high-fidelity mockups.

This stage focused on bringing together layout, typography, and color into a cohesive interface. Each screen was designed to surface the most relevant information upfront, helping users make quick decisions without having to search or second-guess.

🧪 Testing the Experience

Test — Usability Testing

With the high-fidelity screens in place, I moved into usability testing to understand how the experience holds up in real scenarios.

Users were asked to navigate key flows like exploring lounges, checking eligibility and joining queues. More than task completion, I focused on moments of hesitation where users paused, second-guessed or looked for reassurance.

These interactions revealed where the experience felt intuitive and where it still needed clarity.

The overall structure worked well, but a few gaps became clear.

Wait times needed to be more immediately understandable, certain steps felt slightly unnecessary and system feedback needed to be more visible.

Refining these details helped make the experience feel smoother, more responsive and easier to trust.

🚀 Where It Landed

Outcome & Final Prototype

The final experience shifts the user mindset from uncertainty to clarity.

Instead of wondering whether something will work, users can quickly understand their options and decide with confidence — making the entire interaction feel more seamless and predictable.

🌱 What I Took Away

Learnings

This project reinforced that clarity isn’t just a design choice — it’s what shapes user confidence.

It pushed me to think beyond features and focus on what truly matters in the moment: reducing friction, simplifying decisions and designing for real-world constraints.

✈️ Closing

Airports will always involve waiting.

But what users really need in those moments isn’t speed — it’s certainty.

LoungeNow explores how a little clarity, at the right time, can completely change how an experience feels.

LoungeNow: How I Redesigned Airport Lounge Access — A UX/UI Design Story was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

A UX Research Case Study on the biggest blind spot in PropTech — India & Global

Research Type: Literature Review + Competitive Analysis Market Focus: India + Global + Coomunity Research| Sources Reviewed: 50+ | Platforms Analyzed: 15+ | Timeframe: 2021–2026

01 — BACKGROUND & PROBLEM STATEMENT

The Paradox at the Heart of Homebuying

Buying a home is one of the largest financial decisions most people ever make. Yet the single most critical factor after price — the quality of the neighborhood — remains largely unmeasured, unstandardized, and inaccessible.

Research consistently shows that neighborhood quality is the second most important factor in homebuying decisions, immediately after price. Buyers care deeply about safety, schools, hospitals, infrastructure reliability, air quality, and future development plans. But when they go looking for this data, they find a market full of property listings and almost no neighborhood intelligence.

Every major real estate platform — from Zillow and Redfin in the US, to MagicBricks, NoBroker, and 99acres in India — has built sophisticated property search ecosystems. Yet none provides a comprehensive, standardized, trustworthy neighborhood quality report.

Homebuyers in 2025 can find a home’s bedroom count, estimated value, and virtual tour within seconds — but cannot easily find out how many hours of water supply that neighborhood receives per day, what the air quality index looks like, or whether a new metro line is planned nearby.

This case study asks a deceptively simple question: why does this gap exist, and what would it take to close it? The answer reveals a complex tangle of data fragmentation, regulatory failure, misaligned market incentives, and unresolved ethical questions.

The Scale of the Problem

• 77% of homebuyers agree there is no single reliable source for neighborhood info → Trulia Survey
• 36% would pick a different neighborhood if they could choose again — preventable regret → Trulia Survey
• 74% did not research police reports before moving into their neighborhood → Trulia Survey

02 — THE HOMEBUYER ECOSYSTEM

How Buyers Actually Evaluate Neighborhoods

Understanding the problem requires understanding who is buying, what they need, and how current tools fail them. Research also reveals additional anxiety data: 56% of first-time homebuyers feel anxious and afraid they’ll forget a crucial step (Environics/TD Survey), and 21% are simply overwhelmed by fragmented information sources.

Across buyer profiles, a consistent pattern emerges: buyers invest significant time researching neighborhoods using informal, unreliable sources — brokers, word of mouth, social media, and brief physical visits. The 2025 Realtor.com study found that 37% of buyers had no regrets (up from 31% in 2023), suggesting incremental improvement — but the gap between what buyers need to know and what they can access remains substantial.

03 — ROOT CAUSES

Six Reasons Standardized Reports Don’t Exist Yet

01. Data Fragmentation — No Single Source is Comprehensive

Neighborhood quality data lives in dozens of disconnected repositories: the American Housing Survey (which only covers metropolitan statistical areas, not neighborhoods), local municipal records, government infrastructure databases, environmental monitoring systems, and private datasets. None of these talk to each other. The National Center for Healthy Housing notes that local housing code violations, property assessments, and permitting data are not always available or complete.

02. Regulatory Failure — The System Meant to Create Transparency Isn’t Working

India’s RERA framework was designed to bring accountability to real estate. In practice, over 75% of state regulators have never published annual reports or stopped after one or two years. Seven states including Karnataka, Tamil Nadu, and West Bengal have never published a single RERA annual report since the law’s implementation. As the FPCE homebuyers’ body put it: “When regulators themselves don’t follow the law, they lose the legal right to demand compliance from other stakeholders.”

03. Misaligned Market Incentives — No One Profits from Standardization

Platforms like Zillow, MagicBricks, and 99acres have built proprietary data advantages that are commercially valuable precisely because they’re exclusive. Standardizing neighborhood data would level the playing field and reduce competitive differentiation. Builders and developers have even stronger incentives to resist transparency — comprehensive neighborhood reports might highlight infrastructure deficiencies, environmental problems, or gaps near their projects. The only stakeholder who clearly benefits from standardization is the homebuyer, and homebuyers don’t control the platforms.

04. No Consensus on What “Neighborhood Quality” Means

Defining livability requires interdisciplinary consensus that doesn’t exist. Urban planners, public health researchers, data scientists, and community advocates all have different frameworks. The AARP Livability Index uses seven categories; LEED for Neighborhood Development uses different criteria; local community standards differ from expert assessments. Without a shared definition, no standardized measurement framework can emerge.

05. Ethical and Social Concerns Create Legitimate Caution

Neighborhood scoring systems can do real harm. If scoring encodes historical patterns of investment and disinvestment, it risks labeling communities as “low quality” in ways that become self-fulfilling — reducing investment, accelerating decline, and displacing existing residents. NY Times analysis (2025) shows that rising neighborhood scores and property values increase rents and create greater insecurity for long-term renters, even when direct displacement rates are moderate.

06. Neighborhoods Change — Data Goes Stale Rapidly

Unlike a property’s physical dimensions, neighborhood quality is dynamic. A new metro line, a factory opening, a change in municipal water management, or a surge in residential construction can fundamentally alter neighborhood livability within months. Maintaining accurate, current neighborhood data requires continuous monitoring and updating — a technical and financial commitment that static real estate platforms aren’t built for.

04 — COMPETITIVE LANDSCAPE

What 18 Platforms Do Well — and Where They All Fall Short

The competitive analysis of 18 real estate platforms reveals a consistent pattern: strong property discovery, weak neighborhood intelligence.

Platform-by-Platform Failures

1. MagicBricks, India

Fake listings, fake owner numbers. 90%+ listings reported fake by users in key markets.

Gap: No neighborhood data whatsoever

→ Reddit r/bangalore

2. NoBroker, India

False commitments, fake ads created by NoBroker itself to generate leads from users.

Gap: No utility, flood or school data

→ Reddit discussion

3. 99acres, India

Multiple broker calls per listing; sold properties remain visible for weeks after sale.

Gap: No standardized neighborhood reports

→ Reddit discussion

4. Zillow, USA

Inaccurate information, doctored photos. School rating colors removed from listings view.

Gap: Crime & school data limited or buried

→ Trustpilot reviews

5. Trulia, USA

Crime map removed in 2022 citing potential bias. It was previously praised as a standout feature.

Gap: No crime data since 2022 policy change

→ GeekWire

6. Redfin, USA

Advocated removing crime data internally, citing concern about perpetuating racial bias in neighborhood evaluation.

Gap: No crime data since December 2021

→ Inman

05 — USER PAIN POINTS ANALYSIS

Top 10 Recurring User Pain Points

Ranked by frequency across platform reviews, Reddit discussions, and community forums across 20+ platforms, 2021–2026.

01. Missing Crime & Safety Data. 60%+ discussions → Trustpilot / Trulia

02. Fake & Outdated Property Listings, 70%+ India platforms → Reddit r/bangalore

03. No Water Supply Reliability Data. High — India critical → LinkedIn / Proppy AI

04. No Flood & Waterlogging History. High — viral posts → Business Today

05. School Quality Data Removed / Hidden. High — US post-2021 → The Mortgage Point

06. No Power Outage Frequency Data. Medium-High — India → Housing.com Review

07. Broker Claims Unverifiable. Very High → Reddit r/Chennai

08. No Air Quality Data. Medium → Reddit r/indianrealestate

09. Future Infrastructure Unknown. Medium-High → Reddit r/indianrealestate

10. Commute & Traffic Data Incomplete. Medium → Trulia Survey / PRNewswire

The Emotional Journey of a Homebuyer

Sentiment analysis across Reddit threads, app reviews, and forums:

• 95% Frustrated, → Reddit r/FirstTimeHomeBuyers
• 92% Distrustful, → MagicBricks App Reviews
• 85% Anxious, → Environics/TD Survey
• 78% Overwhelmed, → Reddit r/FirstTimeHomeBuyer
• 72% Regretful, → India Today Gurugram
• 65% Uncertain, → Reddit “How do people do it?”
• 60% Feeling Scammed, → Reddit MagicBricks fake leads
• 45% Confused, → Reddit scared first-time buyer

06— CURRENT USER BEHAVIOUR

The Chaotic 4–8 Week Research Workaround

In the absence of standardized data, users assembled a broken workflow. Each step represents a product failure.

1. Browse Portal (MagicBricks / Zillow)90% of Indian listings fake. US removed neighborhood data. → Reddit discussion
2. Receive 50+ Broker Calls “Selecting one listing results in calls from multiple brokers” — Reddit discussion
3. Ask 2–3 Residents About Water, Power, Quality “Ask people who iron clothes — they know all updates” — Reddit r/RealEstate
4. Search Reddit for Flood, Crime & Infra ComplaintsViral posts about Bengaluru flooding become primary research tools → Business Today
5. Visit Neighborhoods Physically — Including in Rain “Look for puddles. Rain doesn’t lie.” — Business Today
6. Drive by at 2am, Weekends, Mornings to Assess Safety “Drive by A LOT at 2am” — Reddit r/FirstTimeHomeBuyer
7. Still Uncertain → Make Decision AnywayAfter 4–8 weeks of chaotic research using 15+ fragmented sources, buyers make the decision with incomplete information.

07 — ETHICAL & SOCIAL IMPLICATIONS

The Real Risks of Getting Neighborhood Scoring Wrong

Neighborhood scoring systems are not ethically neutral. Designed poorly, they can cause harm at community scale.

• Encoding Historical Inequality

If scoring systems are built on data that reflects decades of underinvestment in certain communities, those communities will receive low scores — not because of anything their current residents did, but because of historical neglect. This creates a self-reinforcing cycle: low scores reduce investment, which perpetuates low scores. Bias in input data produces biased outputs.

• Accelerating Gentrification

Ruth Glass coined the term gentrification in 1964; modern research reveals the nuanced reality. NY Times analysis (2025) shows that rising neighborhood scores and property values increase rents and create greater insecurity for long-term renters, even when direct displacement rates are moderate. Long-term homeowners gain equity but struggle with higher property taxes. The cultural impact — disappearance of local shops, alteration of neighborhood character — is real regardless of displacement statistics.

• Privacy in Hyperlocal Data

Collecting fine-grained data about crime, infrastructure, demographics, and resident behavior raises significant privacy concerns. At sufficient granularity, aggregate neighborhood data can effectively de-anonymize individuals or reveal sensitive information about communities. Data privacy and security is already identified as a top concern among property platform users.

The Ethical Design Path Forward

Research suggests five principles for responsible neighborhood scoring:

1. Frame Data as Community Opportunities, Not Deficiencies

Language and framing matter. Scores should highlight improvement potential and available resources, not label communities as failures.

2. Include Residents in Defining What Quality Means

Neighborhood quality is subjective and contextual. Residents should participate in defining metrics for their own communities, not just be scored by external experts.

3. Pair Quality Scores with Affordability Metrics

To avoid equity blind spots, neighborhood scores must always be presented alongside affordability context so that “high quality” doesn’t simply mean “unaffordable.”

4. Aggregate Data to Prevent Individual Identification

Sufficient data aggregation must prevent the de-anonymization of individuals or communities through hyperlocal data combination.

5. Be Transparent About Data Gaps and Confidence Levels

Never present scores as objective truth. Always surface data sources, methodology, sample sizes, and confidence levels alongside every score.

08 — MARKET OPPORTUNITY

8 Validated Product Opportunities

Each directly validated by user behavior, direct quotes, and frequency data from the research. The technical foundation exists — PropYaar proves it’s feasible.

1. Standardized Neighborhood Quality Report

77% agree no reliable source exists today. A 12-category score combining verified government, civic, and public datasets — with transparent methodology and regular updates.
→ Trulia Survey

2. Crime + School Data Dashboard

HUD April 2024: sharing this does NOT violate Fair Housing Act. US platforms removed data by policy, not law — creating a gap waiting to be filled.
→ The Mortgage Point

3. Flood & Waterlogging Risk Score

“Look for puddles, not floor plans.” Mumbai = seasonal aquatic adventure. Post-purchase flooding regret is severe and avoidable.
→ Business Today

4. Utility Reliability Report

“Bangalore Water Security Shapes Home Buying Decisions.” Water supply hours per day, power outage frequency, internet fiber availability.
→ LinkedIn / Proppy AI

5. Verified Resident Review System

“Honest reviews are never posted.” Users trust residents most — but no platform has built a verified, anti-fake resident review layer.
→ Reddit r/indianrealestate

6. Commute Analytics Dashboard

37% cite commute as a key factor but cannot verify before buying. Real peak-hour commute times, transit frequency, metro and bus distances.
→ Trulia Survey

7. Infrastructure Forecast Tracker

Users rely on unreliable broker claims for metro and development timelines. Government-approved infrastructure plans, 10-year neighborhood trajectory predictions.
→ Reddit r/indianrealestate

8. Neighborhood Comparison Tool

“How do people do it?” — no side-by-side comparison exists. A tool to compare neighborhoods across all 16 metrics simultaneously.
→ Reddit r/FirstTimeHomeBuyer

09 — PRODUCT FRAMEWORK

Recommended Neighborhood Report Structure

A 25-metric composite score covering six weighted dimensions for Indian and international homebuyers.

10 — UX DESIGN PRIORIRIES

What to Build First — and Why

Based on the synthesized research, five UX design principles and a clear feature priority order emerge.

Five Core Design Principles

1. Transparency First

Always show data sources and methodology — never present scores as objective truth without surfacing the underlying data.

2. Personalization

Adapt to first-time vs. experienced buyers, and family vs. investor profiles. Different users weight factors differently.

3. Progressive Disclosure

High-level scores first, granular data on request. Don’t overwhelm buyers who are already experiencing decision paralysis.

4. Trust Building

Partner with credible civic and government data sources. Provenance of data is essential to overcoming the distrust revealed in research.

5. Decision Support

Comparison tools, cost calculators, and guided onboarding at every stage — reducing the 4–8 week chaotic workaround to a structured flow.

Feature Priority Matrix

But the research is clear: the technical foundation exists (PropYaar proves it), the market demand is strong and growing (a $5.98B PropTech market by 2032), and the buyer need is real and underserved. What’s needed now is an industry consortium to develop open standards, stronger regulatory enforcement, and a platform designed from first principles around neighborhood intelligence rather than property listings.

Key Sources

• ANAROCK Annual Report 2023
• PropYaar Neighborhood Data 2024
• AARP Livability Index 2025
• Zillow 2025 Home Trends
• FPCE RERA Data Report
• Realtor.com Consumer Study 2025
• NYU Stern — Information Asymmetry in Real Estate
• World Bank Urban Resilience India 2025
• National Center for Healthy Housing 2025
• NY Times Gentrification Analysis 2025
• Trulia Consumer Survey
• Business Today — Bengaluru Flooding
• GeekWire — Trulia Crime Map Removal
• Inman — Redfin Crime Data Policy
• HUD Fair Housing Act Guidance, April 2024
• LEED for Neighborhood Development
• 8 India PropTech Market Report 2026–2032
• Thought Storm UX/Property App Research 2024

Why Don’t Homebuyers Have Standardized Neighborhood Quality Data Reports? was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Behind every wagging tail is a pet parent wondering — am I doing enough?

Overview

Pet parenting is full of joy — but also full of challenges. Between busy schedules, lack of trusted services, and limited social spaces, many pet owners in India often feel they aren’t giving their pets the care and companionship they deserve.

That’s where Pet Connect comes in.

Pet Connect is a one-stop hub designed to make life easier for both pets and their parents. From verified dog walkers and daycares to local events, parks, and supportive communities, the app bridges the gap between time, trust, and social connection.

This case study takes you through the journey of designing Pet Connect — from uncovering real struggles of pet owners, to creating a product that is not just functional, but also trustworthy, joyful, and community-driven.

As the Solo UX Designer, I owned the end-to-end design process — from researching user pain points to transforming insights into seamless, human-focused experiences.

Design Thinking

Time Line

Weeks 1–4 → Empathise & Define
→ Research, competitor analysis, personas, problem statements

Weeks 5–9 → Ideate & Design
→ Solutions, feature prioritisation, wireframes → mockups

Weeks 10–12 → Testing & Final Design
→ Usability testing, user feedback, prototype refinement

Secondary Research

To gain a deeper understanding of the pet care ecosystem, I conducted secondary research by analysing competitor apps, online platforms, and industry articles. This process helped me uncover recurring challenges faced by both pet owners and service providers, while also highlighting opportunities where Pet Connect could create meaningful value. The following key insights emerged from this research:

The visual map above highlights the key pain points discovered during my secondary research. These challenges are not isolated cases but common issues faced by many pet owners and service providers across platforms. To summarise:

• Unreliable booking & scheduling — Many platforms have rigid or confusing booking systems. LifeLearn explains how poor scheduling causes delays and frustrations.
• Weak support during crises — Timely medical help for pets is still unreliable. India Today highlights the lack of emergency support.
• Poor safety & vetting — The pet care sector often lacks regulation and accountability. Times of India reports on scams and unsafe practices.
• Hidden or missing feedback — Many platforms lack transparent reviews.
• Lack of community/event focus — Current apps focus only on services, ignoring community needs.
• High service commission & poor compensation — Service providers often feel underpaid due to high commissions.

Primary Research

To better understand pet owners’ real challenges, I conducted user interviews with first-time and experienced pet parents. I explored how they manage pet care, socialisation, and daily routines. The research revealed pain points such as lack of time, difficulty trusting services, and limited socialisation opportunities for pets. These insights helped shape the design goals of Pet Connect to focus on trust, convenience, and community support. make the sentence better.

User Persona

To better understand my target audience, I created user personas based on research findings. These personas represent the typical users of Pet Connect and helped guide design decisions throughout the process.

User Journey Map

The Unspoken Bond: Mapping the Emotional Journey of a Modern Pet Owner

Before we can build a solution, we must first understand the problem through the eyes of those who live it every day. For modern pet owners, the joy of companionship is often paired with a unique set of challenges — from last-minute work calls disrupting routines to the search for a trusted community.

To truly grasp these moments of stress, guilt, joy, and relief, we created a detailed user journey map. The map below follows two different pet owners: one whose established routine is suddenly interrupted, and another who is proactively seeking new connections for their furry friend. By visualizing their thoughts, feelings, and pain points, we were able to uncover the critical opportunities for a product that doesn’t just solve a problem, but fosters a real sense of community.

User Flow

The user flow was designed for clarity and trust, guiding pet owners from sign-up to booking services like dog walkers, day care, and events. Maps helps them easily find nearby options, while reviews and booking summaries ensure confidence. The inclusion of a community space builds long-term engagement, making Pet Connect a central hub for pet care and socialisation.

Site Map

The site map uses a simple home screen to access six key areas — Day Care, Dog Walker, Guidance, Community, Parks, and Meet-ups. All services follow a consistent flow for easy browsing and booking, helping pet owners save time and build trust in a single, seamless platform.

Low -Fidelity Wireframes

Style Guide

1. Color Palette - The color palette was intentionally designed to be friendly and approachable, using a mix of calming blues and warm yellows. The dominant blue (#5138F2) creates a sense of trust and reliability, which is crucial for an app handling pet care services. This is complemented by a golden yellow (#F2C84B), which evokes warmth, happiness, and energy — qualities associated with our pets. The combination of these two colors strikes a perfect balance between professionalism and a playful, welcoming feel, making the app both trustworthy and enjoyable to use.
2. Typography - I chose the Poppins because of its clean, modern look and excellent readability. As a geometric sans-serif font, its simple, rounded letterforms are easy on the eyes, making text effortless to read on any screen size. This not only creates a friendly and approachable feel but also reduces user fatigue, ensuring a smooth and enjoyable experience throughout the entire application.

High-Fidelity Wireframes

This high-fidelity prototype showcases a user-centric design that simplifies pet care management. The app’s clean aesthetic and intuitive flow guide users from a streamlined onboarding process to a personalized home screen. Key features like detailed service profiles, integrated booking, and a focus on trust through ratings and reviews ensure a seamless experience. This design effectively solves user challenges by providing a centralized, reliable platform for finding services, connecting with a community, and enhancing the lives of both pets and their owners.

Prototype

Usability Test

I conducted usability testing with real users to ensure Pet Connect worked effectively. I observed their ability to perform tasks like signing up and booking a dog walker, noting areas of confidence and struggle. Feedback highlighted navigation issues and the need for clearer booking summaries and event passes. I refined several screens to enhance intuitiveness and user-friendliness, aligning the app better with user expectations and reducing confusion.

Landing Page

Conclusion.

A Seamless Solution for Pet Owners - “Pet Connect” is more than just an app; it’s a centralised platform that simplifies pet care and strengthens the bond between owners and their companions. By providing a single hub for everything from dog walkers to community meet-ups, this design successfully balances functionality and simplicity, solving real user problems in a cohesive and engaging way.

Pet Connect - “Yours Pet’s Social Life” UI/UX Case Study was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Case Study: Enhancing Research Accessibility — A UX Approach to the Research Library Application

Introduction

In the modern era, access to research materials is crucial for students, academics, and professionals. However, many digital library systems are cluttered, unintuitive, and inefficient.

This case study explores my UX design process for developing the Research Library Application, a platform designed to streamline research accessibility and improve user experience.

Problem Statement

Users often struggle with navigating complex interfaces, searching for specific research papers efficiently, managing and organizing their research materials, and accessing research across multiple devices seamlessly.

These challenges create frustration and hinder productivity, emphasizing the need for a more user-friendly and accessible digital library system.

Role & Responsibilities

As part of a three-month UX/UI design course at Designerrs Academy, I worked on this project from scratch. The problem brief was provided by Designerrs, and I completed the project under the guidance of a mentor.

As the sole UX/UI Designer on this project, I was responsible for the entire design process, following all aspects of design thinking. My role included conducting user research, defining problems, brainstorming solutions, creating wireframes, and finally, conducting usability tests. Through this process, I designed a functional prototype that effectively addressed user needs.

Target Audience

The Research Library Application is designed for students, researchers, educators, and professionals who frequently engage with academic content.

University students need an efficient way to find, organize, and reference research papers. PhD researchers require advanced filtering and citation management to streamline their workflow. Educators benefit from a seamless way to access and share academic materials. Professionals looking for industry-related research can also leverage the platform’s AI-powered recommendations and offline accessibility.

Design Thinking Process

I followed the Design Thinking approach to ensure a user-centered and iterative design process. This involved five key stages.

1. Empathize

To understand user needs, I conducted surveys and interviews with students, researchers, and educators. This helped identify pain points such as difficulty in searching for relevant research, lack of proper categorization, and limited offline access.

2. Define

Based on the research findings, I formulated a clear problem statement: “Users need an intuitive and efficient digital library system that allows them to search, organize, and access research materials seamlessly.”

Personas were created to represent key user groups, highlighting their goals and frustrations with existing solutions.

3. Ideate

With a clear problem statement, I brainstormed potential solutions, exploring features such as an AI-powered search, smart categorization, and an intuitive bookmarking system. Sketching and wireframing helped visualize these ideas before moving to the next phase.

4. Design

Using Figma, I developed low-fidelity wireframes to map out the core functionalities. The initial design focused on a clean UI, an efficient search system, and easy-to-use organizational tools. A high-fidelity prototype was later created for usability testing.

High fidelity wireframes

Style Guide — Color & Typography

Final UI

Applying the style guide to my final high-fidelity wireframes, I started creating the UI mockups.

5. Test

The prototype was tested with potential users, and feedback was collected. Users highlighted the need for better filtering options, an integrated citation management feature, and improved dark mode usability for nighttime reading. These insights led to refinements in the final design.

Conclusion

The Research Library Application showcases the power of UX in creating efficient, accessible, and user-friendly digital experiences.

Moving forward, potential improvements include collaborative features and integration with academic platforms like Google Scholar. By continuously iterating and refining the application, we can further enhance the research experience for users.

Next Steps

Future developments will focus on refining the recommendation algorithm, adding real-time collaboration tools, and exploring AI-driven summarization for research papers.

These advancements will contribute to a more robust and intelligent research platform, ultimately making research more accessible and efficient for all users.

Case Study: Enhancing Research Accessibility — A UX Approach to the Research Library Application was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Ever noticed how the photography world feels like a high school cafeteria? The “popular” photographers sit at their exclusive table, flaunting their decade-old portfolios, while incredibly talented newcomers eat their creativity sandwich alone in the corner. Sure, they might make magic with a camera and turn ordinary moments into extraordinary art, but without the “cool kids” stamp of approval (aka years of experience), their brilliant work often gets about as much attention as a beige wall.

Picture this: Sarah, a brilliant new photographer, captures wedding moments that could make even your stoic uncle cry. But clients scroll past her portfolio faster than Instagram reels because she hasn’t shot “enough” weddings. Meanwhile, Tom, who’s been shooting the same posed chandelier shots since 2010, gets booked solid, So what should we do? Make a solution. that’s right.

Enter PROTOS — the anti-popularity contest platform where your work does the talking, not your graduation date from the School of Been-There-Done-That. We’re flipping the script on the traditional portfolio game, creating a space where that mind-blowing shot you took yesterday carries more weight than a dusty certificate from last decade. Because let’s be honest — if someone can make your ordinary Tuesday look like a Vogue cover, do you really care if they’ve been doing it for six months or six years?

The Solution: PROTOS

PROTOS would be different than any other platforms out there even if it shares similarity with other applications, we would prioritize the latest work over years of industry accolades, giving newcomers the same visibility as established photographers. We aimed to create an interface that look perfect for every photos that were shot and edited right. photos where photographers could upload their best, most recent work and let the images speak for themselves, without the distraction of irrelevant metrics like how many years they’ve been shooting.

Things we can do:

This journey wasn’t just about solving a systemic problem — it was personal. As a photographer who’s spent countless hours perfecting that one impossible shot, tweaking lightroom presets until 3 AM, and facing the dreaded “but how many weddings have you shot?” question, I intimately understand the frustrations of talented creators being overlooked. I’ve watched brilliant photographers get passed over because their portfolio showed six months of genius rather than six years of the same old formula. I’ve been there, clutching my camera at networking events while someone explained how their “20 years of experience” trumped my fresh perspective and innovative techniques.

But here’s the thing — every seasoned photographer was once a newcomer with fire in their eyes and fresh ideas in their viewfinder. The only difference? They started in an era when experience was the only currency that mattered. Today’s photography world is different. It’s faster, more dynamic, and bursting with new perspectives that deserve their moment in the spotlight.

That’s why creating PROTOS became more than just a design project — it became a mission to reshape how we value photographic talent. Every feature, every interaction, and every user flow was crafted with both sides of the lens in mind: the photographer struggling to showcase their vision and the client searching for that perfect creative match.

Let me walk you through the design process that turned this frustration into a platform where talent speaks louder than timestamps.

The Problem Brief:

Photographers and creators often rely on social media to showcase their work and gain audience appreciation. However, the challenge arises when the opportunities and client inquiries are influenced by the number of followers. Despite having exceptional skills, creators with a limited following struggle to attract potential clients for events or projects. This issue becomes more pronounced for freelancers, as highlighted in a Fiverr survey indicating that 57% of freelancers face difficulty securing their first client. New freelancers, lacking experience and an established network, find it challenging to overcome this hurdle. Additionally, clients seeking photographers or editors for specific preferences, specialties, or local availability encounter difficulties in discovering suitable creators. Many full-time creators aspire to take on freelance projects during their non-occupied hours but face hurdles in finding clients due to time constraints. The competitive landscape on social media further complicates the process for photographers striving to stand out and connect with potential clients.

The Obstacle:

• Social Media Dependency: Talented photographers are being judged by their follower count rather than their skill level, creating an artificial barrier to opportunities.
• First Client Barrier: New freelance photographers face significant difficulty in securing their first clients due to lack of experience and professional network (supported by the 57% statistic from Fiverr).
• Client-Creator Matching Issues: Clients struggle to find photographers who match their specific requirements (specialization, location, availability) despite them potentially existing in the market.
• Time-Constrained Opportunities: Full-time photographers who want to take on additional freelance work are unable to effectively find and secure clients due to limited time for self-promotion and networking.

Design Thinking Process:

The design process for PROTOS was grounded in the Design Thinking methodology, prioritizing the needs of photographers and clients alike. This approach allowed us to deeply explore the challenges photographers face in gaining visibility and breaking into the industry, especially when experience often trumps raw talent. Through a cycle of empathy, ideation, and testing, we aimed to craft a platform that removes traditional barriers and focuses purely on showcasing a photographer’s best work. This iterative process helped refine a clean, intuitive interface that empowers photographers, both new and seasoned, to get discovered and booked based on the quality of their portfolios, not just their years of experience

1 Empathize

SECONDARY RESEARCH:

To understand the broader challenges faced by photographers, I began by reviewing user feedback on platforms like Reddit, Quora, and X, where photographers often share their struggles and experiences. I also explored articles, youtube videos that highlighted key issues in the photography industry, particularly around visibility, client acquisition, and outdated portfolio structures. These insights revealed common pain points such as the difficulty for newer photographers to gain recognition without years of experience and the frustration among seasoned photographers who felt limited by traditional portfolio formats. This research helped shape the development of PROTOS.

Insights gathered from my secondary research:

• New Photographers Struggle with Visibility

Impact: Traditional platforms often prioritize experience over talent, making it difficult for newer photographers to get noticed. Emerging photographers need a space where their recent, high-quality work can take precedence, rather than being overshadowed by years in the industry.

• Experienced Photographers Are Limited by Outdated Portfolios

Impact: Many seasoned photographers feel their portfolios don’t reflect their evolving style or creativity. Existing platforms often limit them to showcasing outdated, repetitive work, making it harder to attract fresh clients who are looking for innovation and diversity.

• Clients Experience Decision Fatigue

Impact: Clients often feel overwhelmed by the sheer number of portfolios available on photography platforms, struggling to differentiate between photographers based on style or quality. There’s a need for better tools that help clients quickly find photographers who align with their specific needs.

• Need for Seamless Booking and Communication without complexity

Impact: Most platforms lack integrated tools for direct communication and easy booking, making the process of hiring a photographer cumbersome. Simplifying this process would greatly benefit both clients and photographers, improving the overall experience and efficiency

PRIMARY REASEARCH:

I have taken 5 interviews with Photographers, Editors aswell as people who hire them. in each category from experts to beginners to get a broader insight.

Key Notes from Interviews:

• Difficulty Finding the Right Fit: Clients struggle to find photographers who match their specific needs, style, and budget.
• Portfolio Uncertainty: It’s challenging to evaluate a photographer’s portfolio and gauge their expertise, leading to uncertainty about whether they’re the right choice.
• Availability and Timing: Clients often face difficulties in finding a photographer who is both available at the right time and has the necessary skills.
• Budget Management: Clients find it hard to prioritize spending while ensuring they get high-quality photos within their budget.

2 Define

USER STATEMENTS:

From the Statements collected from the interviews i have made sticky notes for each one of them.

After taking sticky notes I started to create an affinity diagram by grouping those user insights into totally 6 categories.

Affinity Diagram:

1. Common Difficulties Faced
2. Issues to be Solved
3. Wants
4. Does
5. Says
6. Goals

Some Major insights collected from user’s statements:

USER PERSONAS:

I have created totally 3 User personas according to who might be the common users of this app to ensure that I do not miss out or be biased in one side than the other.

USER JOURNEY MAP:

i have decided to start the first phase with “searching for clients online” the next step as building your profile, where the focus was on showcasing the most recent and standout work to capture attention. Once the profile was ready, discussion with the client must take place, allowing both parties to align on the project’s vision and expectations. Following this, the deal should be sealed, with clear terms and agreements in place. Once everything was set, the photographer should move on to working together, ensuring smooth collaboration and clear communication throughout the process. Finally, after completing the project, the photographer must hand over the project, allowing the client to review the work and leave feedback, setting the stage for future collaborations

Pain Points:

1. Finding Clients: Difficulty in locating clients that match the photographer’s style and availability.
2. Building a Profile: Struggling to create a professional portfolio that builds trust.
3. Client Miscommunication: Issues with understanding and aligning on client needs.
4. Negotiating Prices: Uncertainty about pricing and fear of undervaluing work.
5. Delivery & Satisfaction: Concerns over delivering photos on time and meeting expectations.

Opportunities:

1. Client Matching: Build a platform that connects photographers with the right clients based on style and location.
2. Simplified Portfolios: Provide easy-to-use tools for building strong, trust-building portfolios.
3. Clear Communication: Implement forms or briefs for better alignment on client expectations.
4. Pricing Tools: Offer pricing guidelines or calculators to help photographers set competitive rates.
5. Easy Delivery: Create a smooth photo delivery and feedback system for ensuring client satisfaction.

3. IDEATE

BRAINSTORMING SOLUTIONS:

I decided to brainstorm solutions to tackle key pain points. First, I thought about creating a client matching system to connect photographers with clients based on style, budget, and location. Next, I focused on simplifying the portfolio building process, proposing an easy-to-use tool to showcase the best and most recent work. To improve communication, I suggested a client communication hub for seamless discussions and project briefs. For pricing, I came up with a pricing guide to help photographers set fair rates. Finally, I considered a photo delivery and feedback system to streamline the process and ensure client satisfaction

• Client Matching System: A feature that helps photographers find clients based on style, budget, and location preferences.
• Dynamic Portfolio Builder: A customizable tool to easily create and update portfolios, showcasing the photographer’s best and most recent work.
• Client Communication Hub: A dedicated messaging platform where photographers and clients can share project briefs and discuss details in real time.
• Photo Delivery & Feedback System: A system for securely delivering photos and collecting feedback from clients, making it easy to track revisions and ensure satisfaction

TASK FLOWS:

USER FLOWS:

SITEMAP:

WIREFRAMES:

Low-Fidelity: I created simple wireframes to outline the core features and user flow, focusing on layout and functionality without delving into detailed design elements

HIGH - FIDELITY:

STYLE GUIDE:

I developed these design elements to create a unified and visually compelling experience, ensuring that PROTOS resonates with photographers while offering an intuitive, streamlined platform for showcasing their work.

4. PROTOTYPE

I created a prototype to bring the design to life, allowing me to test key features and interactions. By doing this, I could ensure the app’s functionality was intuitive and seamless for users. This step helped refine the user experience, identify any issues early on, and make improvements before moving to the final development stage.

ONBOARDING AND SIGN UP

VISITING PROFILE

HIRING A PHOTOGRAPHER

EXPLORING AND INTERACTING WITH POSTS

5. USABILITY TESTING

Moderated Usability Testing: “I organized and led usability testing sessions with real users to observe their interactions with the prototype. By guiding them through essential tasks and encouraging them to share their thoughts aloud, I was able to identify challenges and gather direct feedback. This process provided valuable insights into user behavior, helping me fine-tune the design, simplify navigation, and enhance the overall user experience.

Key notes from Usability Testing:

• Difficulty in showing openness to internships/assisting due to unclear skill level indicators, unsure what differentiates ‘intermediate’ vs ‘expert’.
• Needed a more intuitive way to arrange photos in a specific order to tell a wedding story, as dragging photos between collections wasn’t clear.
• Couldn’t find where to add photography awards and felt that client testimonials and awards should be showcased more prominently for immediate visibility

Reflections
The PROTOS project was a journey of understanding the needs of photographers and their clients. It helped me realize the importance of clear user flows and intuitive design. Seeing the platform evolve from an idea into a prototype that addressed real-world problems was incredibly rewarding and reinforced the value of user-centered design.

Roadblocks Faced
One of the main challenges was balancing user needs with design constraints, especially when creating intuitive features like skill indicators and photo organization. During usability testing, ensuring all users could easily navigate the platform was tricky, and it required multiple iterations to get the right balance of functionality and simplicity.

PROTOS project had a profound impact on my growth as a UI/UX designer, especially since it was my first project in this field. It taught me how to approach design challenges methodically, from user research to prototyping and testing. Working on an app aimed at helping photographers overcome industry barriers gave me a sense of purpose and a deeper connection to the design process. I learned to be more empathetic to user struggles and how to translate those insights into meaningful design solutions. This project has not only expanded my technical skills but also strengthened my problem-solving abilities and has shaped how I approach future design challenges.

Final Thoughts

As I wrap up this journey with PROTOS, I realize how much this project has shaped me both as a designer and as a problem solver. From my first steps in UI/UX to refining a product that directly addresses real-world challenges, every phase of this process has taught me something invaluable. PROTOS wasn’t just about building an app — it was about understanding people, solving their problems, and creating an experience that truly resonates with users. This project has not only honed my design skills but has also deepened my passion for crafting user-centered solutions. As I move forward in my UI/UX journey, I carry these lessons with me, ready to tackle the next challenge with the same dedication to empathy, simplicity, and impact.

PROTOS: A Photographers Platform for Finding Work was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Introduction

Imagine this: you’ve been dreaming of bringing home a pet for months. You scroll through adoption sites, visit shelters, and picture life with your new best friend. Finally, you spot the one — a furry friend who steals your heart.But reality hits… adoption isn’t that simple. Information is scattered, the process feels confusing, and instead of joy, you’re left feeling stressed and overwhelmed. Not the happy beginning you imagined.

That’s where Pawsphere comes in 🐾.

A playful, stress-free app that makes finding, adopting, and caring for your pet as easy (and joyful!) as a belly rub. No more endless searching, mismatched adoptions, or feeling lost.
With Pawsphere, adopters and shelters can focus on what really matters — wagging tails, happy homes, and love at first woof 🐶.

About Pawsphere

Pawsphere isn’t just an app — it’s a trusted space for pets and the people who love them. My mission is to make pet adoption simple and to provide the right care after adoption. From finding the perfect match to ensuring lifelong health and happiness, Pawsphere is here to support every step of the journey. Because pets aren’t just animals
 — they’re family. ❤️

Duration — 4 Months
Role — Solo Ux Designer
Screens — 90+ Screens
Tools — 3+ Tools

User Research

The user research highlights the target audience, their challenges, and the essential features required for the app to succeed in the market.

Secondary Research

To better understand the existing pet adoption landscape, I studied reports, competitor apps, and user discussions across forums and social platforms. The goal was to identify gaps in the current adoption and pet care ecosystem.

Case Study PDF Link:
https://drive.google.com/file/d/1--Yj1GtSJw5_t5CQyHeiVHDuulvCMtNQ/view?usp=drive_link

Pawsphere- “Find Your Perfect Companion” UI/UX Case Study was originally published in Dtalks on Medium, where people are continuing the conversation by highlighting and responding to this story.