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Ethnography checklist: before, during, and after fieldwork

Use this checklist to keep your ethnographic field study on track from planning through final synthesis. Each phase covers the actions that matter most — skip any item and you risk gaps in your data or missed insights.

Before fieldwork

  • Research questions written and reviewed with stakeholders
  • Observation approach chosen (fly on the wall / guided tour / shadowing / apprenticeship)
  • Participants recruited (5-12, behavioral screening criteria applied)
  • Field visit schedule created (dates, times, locations, contact info)
  • Consent forms prepared (covering photos, audio, video, notes)
  • Field kit packed: notebook, camera, audio recorder, consent forms, topic guide, incentives
  • Team roles assigned (if visiting in pairs: one leads, one documents)
  • Assumptions list written — what you expect to find, to check against later

During fieldwork

  • Rapport built before observing (introduction, consent, expectations set)
  • Consent obtained and recorded
  • Environment documented: photos of workspace, tools, layout, posted materials
  • Observations recorded in real time or within 15 minutes of each segment
  • Artifacts photographed and cataloged (notes, tools, workarounds, physical traces)
  • Contextual questions asked during natural breaks (grounded in what was just observed)
  • Researcher bias check: “Am I seeing what is here, or what I expected to see?”
  • Participant not disrupted: observation time exceeds interview time

After fieldwork

  • Debrief completed within 30 minutes of each visit
  • Field notes reviewed and gaps filled while memory is fresh
  • Photos and recordings labeled with participant ID, date, and context
  • Data organized in a central repository (Dovetail, Miro, shared folder)
  • Observations coded by theme
  • Affinity diagram built from coded observations
  • Insights written as observation → implication → opportunity
  • Workarounds inventoried and mapped to unmet needs
  • Findings shared with team in a visual, evidence-rich format