28 articles in User Research

What's the difference between outcomes vs. outputs? Walk through clear-cut and tricky examples, common mistakes, and practical steps.

Audio Version ($)During one of our recent Claude Code Office Hours, a participant asked, "Can we zoom out? Help me understand what I can use Claude Code for."This is a great question. I was so focused on how to help people set up Claude Code that I

Listen to this episode on: Spotify | Apple PodcastsWhat happens when you treat an AI agent not as a chatbot, but as a full teammate on your sales team – one that can jump on video calls, demo your product, make phone calls, and follow up over days?In this

Most product teams know they should be interviewing customers. And more teams than ever are actually doing it. That's the good news.The bad news? Many teams are struggling with what comes next.I've written before about the challenge of interview synthesis—going from a

Although design systems promise consistency, most still fail without someone actively enforcing the rules and making teams follow them.

AI interviews offer faster feedback at scale, but they're not a replacement for in-depth, human-led semistructured interviews.

AI Voice in Practice: How voice AI is transforming product activation flows, demos, user research, internationalization and more. Examples from world leading companies.

When the shine wore off the models When we began building ProdPad CoPilot, I wanted to create the strongest AI system a product team could rely on. Not a novelty, The post The AI OS: Why Orchestration is Becoming the Real Foundation of Practical AI appeared first on ProdPad.
Ethnographic research — observing users in their natural environment — reveals insights that no survey or interview can capture. Borrowed from anthropology, ethnographic methods help product teams discover unarticulated needs, workarounds, and contextual factors that shape how products are actually used. This article covers field observation techniques, contextual inquiry, photo and video ethnography, and cultural probes. It provides practical guidance on planning ethnographic studies, managing the tension between observation and interpretation, and translating findings into design implications.
The debate between qualitative and quantitative research is a false dichotomy — the best researchers use both, strategically. This article explains when each approach is most valuable: qualitative research (interviews, observations, diary studies) for exploring 'why' and generating hypotheses; quantitative research (surveys, A/B tests, analytics) for testing hypotheses and measuring 'how much.' It provides a decision framework for choosing methods based on research questions, maturity of understanding, and available resources, with practical examples from product development and UX research.
Google's HEART framework (Happiness, Engagement, Adoption, Retention, Task success) provides a systematic approach to measuring user experience at scale. This case study explains how Google Research developed the framework, how teams across the company apply it, and how it bridges the gap between qualitative insights and quantitative metrics.
The UK Government Digital Service (GDS) replaced thousands of government websites with a single, user-centered platform. This case study examines how the team applied agile methods, rigorous usability testing, and radical content simplification to create GOV.UK, setting a global standard for digital government services.
Practical techniques for getting honest, useful feedback from customer conversations — avoiding the trap of asking leading questions that tell you what you want to hear.
User interviews are the backbone of qualitative research, but most are conducted poorly — leading to confirmation bias, social desirability effects, and superficial insights. This article covers the complete interview process: recruitment and screening, writing a discussion guide, mastering probe questions, active listening techniques, and synthesizing findings. Key techniques include the 'five whys' for depth, critical incident technique for specificity, and the 'mom test' principle of asking about behavior rather than opinions. It includes a template discussion guide and common interview anti-patterns to avoid.
Surveys are the most widely used — and most widely abused — research instrument in business. Poorly designed surveys produce misleading data that can drive costly decisions. This article covers the principles of rigorous survey design: writing unbiased questions, choosing appropriate scales, avoiding leading and double-barreled questions, managing survey length, and sampling strategies. It also covers analysis techniques including how to handle response bias, calculate confidence intervals, and distinguish meaningful differences from noise.
Airbnb's 2022 search redesign replaced traditional location-based search with flexible, category-driven exploration. This case study details how months of user research revealed that travelers were increasingly open to new destinations, leading to the Categories and Split Stays features that fundamentally changed how people discover places to stay.
IDEO popularized human-centered design and design thinking across industries worldwide. This case study traces the evolution of IDEO's methodology from early projects like the Apple Mouse to modern challenges in healthcare and education, examining the inspiration-ideation-implementation framework that has been adopted by organizations globally.
Uber operates in over 70 countries with dramatically different transportation cultures, payment systems, and user expectations. This case study examines how Uber's design team conducts field research in diverse markets, adapts the rider and driver experience for local contexts, and maintains a cohesive global product while respecting regional differences.
Teresa Torres' framework for making product discovery a continuous practice rather than a one-time event. The Opportunity Solution Tree maps desired outcomes to opportunities (customer needs) to solutions to experiments. Key habit: weekly customer interviews. Covers assumption mapping, experiment design, and comparing solutions. Rapidly becoming required PM reading.
Empathy is not a fixed trait but a skill that can be developed, and organizations that cultivate it outperform competitors on innovation, engagement, and customer satisfaction. Zaki's research distinguishes between cognitive empathy (understanding perspectives), emotional empathy (sharing feelings), and compassionate empathy (being moved to help). The article shows how leaders can build empathic cultures through modeling, hiring practices, and structural changes that create exposure to diverse perspectives.