UX research methods guide
Which research method to use and when
There are dozens of UX research methods. Learn the most important ones — user interviews, surveys, card sorting, tree testing, and usability testing — and when to use each.
The research landscape
Every UX research method falls along two axes. Understanding these axes helps you choose the right method before you recruit a single participant.
Attitudinal vs Behavioral
Attitudinal research captures what people say — interviews, surveys, focus groups. Behavioral research captures what people do — usability tests, analytics, eye-tracking. Always trust behavior over words. People's intentions and actions frequently diverge.
Qualitative vs Quantitative
Qualitative methods answer why — rich context from a small number of participants. Quantitative methods answer how many — statistical patterns from large samples. Most mature research programs use both together: qualitative to surface hypotheses, quantitative to validate them at scale.
Early-stage research (generative)
Discover and define problems. You do not yet have a solution. Methods like user interviews, contextual inquiry, and diary studies belong here. The output is insight, not validation.
Late-stage research (evaluative)
Test proposed solutions. You have a design and want to know if it works. Usability testing, tree testing, and A/B testing belong here. The output is evidence that informs iteration.
The 8 most essential methods
You do not need to master all of them before you start. Know when each method fits and which output it produces — that is what matters in practice.
User Interviews
QualitativeWhen
Discovering user needs, motivations, and mental models
How many
5–8 participants per user segment
Output
Themes, quotes, insight statements
Surveys
QuantitativeWhen
Measuring attitudes at scale, validating qualitative findings
How many
100+ responses for statistical validity
Output
Percentages, correlations, NPS scores
When
Evaluating how well users can complete tasks
How many
5 users (moderated), 20+ (unmoderated)
Output
Task completion rates, error rates, qualitative observations
Card Sorting
GenerativeWhen
Designing or evaluating navigation and IA
How many
20–30 participants
Output
Mental model of how users group content
Tree Testing
EvaluativeWhen
Testing if users can find content in a proposed navigation structure
Output
Success rate, directness rate, first click data
Contextual Inquiry
QualitativeWhen
Observing users in their natural environment
Output
Workflow insights, context that interviews miss
Diary Studies
QualitativeWhen
Understanding behavior over time
How many
10–20 participants over days or weeks
Output
Longitudinal patterns, journey touchpoints
Analytics Review
QuantitativeWhen
Identifying where users drop off or what they engage with
How many
Not applicable — population data
Output
Quantitative usage patterns (what — not why)
Choosing the right method
Start with the question you need to answer, not the method you already know. These four signals cover the most common research situations.
Situation
We do not know what users need
Use
User Interviews or Contextual Inquiry
Situation
We want to know if users can use our design
Situation
We need to redesign our navigation
Use
Card Sorting + Tree Testing
Situation
We want to know where users drop off
Use
Analytics + Usability Testing
Free tools to get started
You do not need a paid research platform to run meaningful studies. These tools cover the most common methods at no cost.
MazeUsability testing + card sorting — free plan
Optimal WorkshopCard sorting and tree testing — free plan
Google FormsSurveys — free
LookbackVideo interviews with session recording
HotjarHeatmaps and session recordings — free plan
Apply research in practice
Apply research in the UX Designer track
UX research is a core skill for designers. The UX Designer track covers research methods, information architecture, prototyping, and design systems — end to end.
UX / UI Designer track