UX Research

Choosing the wrong research method is the fastest way to answer a question nobody asked — learn how to match method to question, and when to combine both.

Knowing which research mode to use — and when — is what separates teams that discover real problems from those that polish the wrong solution.

Conducted well, a one-hour conversation can overturn months of assumption — learn how to plan, run, and analyze user interviews that generate real insight.

Studying users where work actually happens reveals the invisible workarounds, interruptions, and environmental pressures that lab sessions and surveys will never surface.

Longitudinal self-reporting that captures behavior, context, and emotion as they unfold in real life — where no lab study can follow.

Choose the right usability testing format, run sessions that surface real behavior, and translate evidence into design decisions that stick.

Master validated scales like SUS, SUPR-Q, and UEQ to measure usability and experience with statistical confidence — and know exactly when to use each one.

Run controlled experiments that turn interface decisions into evidence — from hypothesis design through statistical validity to ethical guardrails.

Turn raw product telemetry into design evidence by understanding what behavioral data can and cannot tell you — and how to combine it with qualitative insight.

Widely used but routinely misapplied, focus groups are a powerful generative tool in a narrow set of circumstances — and a source of dangerously misleading data in most others.

Knowing how many participants you actually need — and why — is the difference between research that drives decisions and research that merely fills a slide deck.

Running weekly touchpoints with users and mapping the problem space as an Opportunity Solution Tree turns discovery from a periodic project into a product team habit.

Scaling UX research from ad-hoc effort to a reliable organizational capability — infrastructure, workflows, and governance that let insights reach decisions faster.

Conducting ethical UX research means navigating legal frameworks, informed consent, data minimization, and the growing threat of deceptive research practices.

Recruiting the wrong participants wastes every hour that follows — learn how to source, screen, and retain the right people, then make that work compound inside a research repository.

AI tools are reshaping how researchers synthesize data and spot patterns — but understanding where they fail is what separates signal from noise.

Designing for everyone starts with researching with everyone — learn how to recruit disabled participants, run accessible sessions, and embed inclusion into every phase of the research cycle.