The Difference Between What Users Say and What Counts as Data
Four common mistakes that turn opinions into findings
Products Users Love
I’ve spent years helping startups and product teams design experiences that users actually love. On this newsletter, I share what works (and what doesn’t) in real-world product design: human-centered insights, frameworks, and mental models.
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Latest episodes
Why survey data feels more certain than it is
The research behind question design, limitations, and the decisions that shape your data before anyone responds
What a Virtual Hot Mug Reveals About Your Users
How Real-World Experience Shapes Every Digital Interaction
MLP is the new standard and our research methods need to keep up
What building for emotion actually requires from product teams
AI temperatures, mental models, and the UX challenges of vibe-coding
The invisible pipeline underneath your AI tools, and why understanding it changes how you build
Talking to users ≠ user insights
How rigorous user segmentation can add a layer of precision to your research and change what you actually build.
The AI Feature Assessment Framework (That Could Save Your Product's Trust)
A practical workshop canvas for founders and product teams to assess AI feature risks before launch, based on HCI research on trust calibration.
AI Confidence vs. User Uncertainty: The Trust Problem Nobody's Solving
Research shows AI trust degrades over time and doesn't recover when systems improve. This isn't an AI problem, it's a UX problem. And it's compounding.
Good Questions, Bad Interpretations: The Hidden Research Problem
After 10 years of interviewing users, I still caught myself making a classic research mistake. Here's what it revealed about the importance of interpreting answers the right way.
Prioritisation Chaos:Your ‘Perfect’ Research Isn’t Perfect
Why perfect surveys can still produce confusing results, and how to get clarity with context, segmentation, and critical thinking.
When Netflix’s Redesign Forgot the Couch: What Contextual Usability Really Means
Context Matters More Than We Think: A UX Research Lesson From Netflix’s Redesign
Vibe-coding doesn’t know how big your thumb is
A framework for vibe-coding with the user in mind
The Human Cost of Talking to AI
Why prompt engineering is a coping mechanism for a broken UX
AI tools, Credits, and Broken Mental Models: A UX Problem Disguised as Pricing
A Human-Computer Interaction perspective on pricing, predictability, and control
Designing for the Whole-Brain User: Actionable UX Insights
The two brains theory
Designing for Human Emotions: A Research Perspective
Usability tells us whether a system works.
Instead of Resolutions You Forget by February Run a Research Study On Your Own Life
Every January, we redesign our lives.
When UX Becomes Fraud: A Personal Case Study in Dark Patterns
We talk a lot about user experience as if it’s neutral, a tool for clarity, efficiency, and delight. But UX is power.
The Subtle Power of Infinite Scroll: Design Pattern or Dark Pattern?
A deep dive into infinite scroll: the usability darling that quietly reshaped how we navigate content, and why HCI research suggests it deserves a closer look.
Why I Don’t Trust AI to Do My Research (Yet)
To anyone blindly believing anything AI tells you, copy-pasting without doubting a generated text, trusting it with complex tasks, data analysis or even worse, saying it can replace researchers: