Contextual Inquiry

Direct observation of users performing tasks in their natural environment to uncover contextual constraints, workarounds, and unspoken workflows not captured in interviews.

Process

Key Fields

Question it answers	What do users actually do vs. what they say they do? What contextual factors shape behavior?
Participants & timing	5-8 participants · 2-4 hours per session · 3-6 weeks total
AI compatibility	AI helps analyze video/photos for patterns and generate observation summaries; field work must be done by a human.
Output	Session notes, observation themes matrix, contextual insight report

Use when

Redesigning existing workflows to understand current state
Domain is complex or unfamiliar and requires field study
Stakeholders need evidence over assumption
Solution is deployed in a specific physical environment

Skip when

Users work remotely and observation is impractical
Budget or timeline is tightly constrained
Interactions are purely digital with no physical context

Common Mistakes

Over-interpreting observations

Watching behavior without asking "why" leads to incorrect conclusions about intent. Pair each observation with a brief in-situ question to validate assumptions.

Observer effect

Users behave differently when watched. Allow warm-up time at the start, explain your role clearly, and use unobtrusive recording where possible.

Cherry-picking interesting anomalies

Focusing on deviations without quantifying frequency misrepresents the pattern. Document how often each behavior occurs and distinguish routine from exceptional.