# User Research

> The systematic study of users' needs, behaviors, and pain points — through interviews, surveys, and observation — to ground design in evidence.

- Category: Process & Methods
- Canonical: https://www.themasterly.com/glossary/user-research

User research is how a team replaces opinion with evidence. It spans qualitative methods (interviews, contextual observation, [usability tests](https://www.themasterly.com/glossary/usability-testing)) and quantitative ones (surveys, analytics, funnels), each answering a different kind of question — *why* people behave a certain way versus *how many* do.

Research feeds nearly every other artifact: [personas](https://www.themasterly.com/glossary/user-persona), [journey maps](https://www.themasterly.com/glossary/customer-journey-map), and prioritized problem lists all come from it. Skipping it doesn't remove the assumptions — it just leaves them untested until they surface as expensive mistakes in production.

## In practice

A team assumes users churn because the product lacks integrations. Six churned-customer interviews later, a different story: people left because the weekly report they showed their boss broke when data sources changed — trust, not features. Analytics alone couldn't reveal that (the events looked normal), and interviews alone couldn't size it (analytics showed 30% of accounts hit the breakage). Pairing the two methods is what turned a roadmap guess into a confident fix.

## Related terms

- [Usability Testing](https://www.themasterly.com/glossary/usability-testing)
- [User Persona](https://www.themasterly.com/glossary/user-persona)
- [Customer Journey Map](https://www.themasterly.com/glossary/customer-journey-map)
- [UX Design](https://www.themasterly.com/glossary/ux-design)

## FAQ

**How many users do you need to interview?**

For qualitative insight, five to eight per distinct segment usually reaches saturation — the point where new interviews repeat what you've heard. Quantity matters less than recruiting people who actually match your target users.

**When should you use qualitative vs quantitative research?**

Quantitative (analytics, surveys) tells you what is happening and how much; qualitative (interviews, observation) tells you why. Diagnose direction with numbers, then explain the cause with conversations — most good studies chain the two.

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