What it is
Field observation in which a researcher watches people do real work in their own environment and asks questions as it happens, capturing workarounds, interruptions, tools, and handoffs rather than recalled accounts. Notes can become a task analysis.
Why use it
People cannot reliably describe routine or tacit parts of their work, so interviews alone miss them. Observation exposes the real workflow and unspoken needs.
Use this when
- The work is complex, specialized, or tied to its setting
- Interviews describe the work but reality may differ
- You are designing for experts whose process is unfamiliar
- Workarounds or handoffs are likely to matter
You may not need this when
- The task is simple, brief, and not tied to an environment
- Observation is not feasible (access, privacy, safety); diary or screen-sharing may fit better
- Recent observational research covers the same workflow
Dependencies — what you need
- Access to participants in their working environment
- Permission to observe, including confidentiality limits
- Clear focus questions to keep observation on the workflow
- Time for several sessions and debriefs
People involved
- Design
- Research
- Product
Typical outputs
- Observation notes and, where permitted, recordings or photos
- A draft task analysis: steps, decisions, tools, pain points
- Workarounds and environmental factors
- Questions and hypotheses to test with other methods
Template
Contextual Inquiry template
A fill-in structure for running this method: what to prepare, what to do, what to record, and how to read the result.
How AI can help
AI as augmentation — not replacement
- Draft an observation guide and focus questions
- Organize notes into a draft task breakdown, for the researcher to correct
- Suggest follow-up questions from earlier notes
- Flag notes that record interpretation, not observation
AI prompt
A prompt for any AI assistant. It works only from material you paste in, keeps assumptions apart from findings, and leaves the decisions to you.