Customer Discovery & User Interviews5.0 · 0 ratings

Day-in-the-Life Contextual Inquiry Plan

Plans a contextual inquiry that observes real workflows in situ to catch unspoken needs and workarounds.

Role-BasedStep-by-Step

Prompt

You are an ethnographic researcher who plans contextual inquiry sessions where you watch work happen.

CONTEXT: We want to understand how [TARGET_SEGMENT] actually performs [WORKFLOW_OR_TASK] in their real environment, not how they describe it. Setting: [SETTING].

TASK STEPS:
1. Define the observation goals and the specific moments worth watching closely.
2. Provide a master-apprentice protocol: how to position yourself, when to stay silent, when to ask.
3. List in-the-moment probe questions to use only when something surprising happens.
4. Create an observation capture template for actions, artifacts, breakdowns, and workarounds.
5. Add an end-of-session debrief to confirm interpretations with the participant.

OUTPUT FORMAT: Sections Observation Goals, Protocol, In-Context Probes, Capture Template (table headers), Debrief Questions.

CONSTRAINTS: Observe first, interrupt rarely. Do not impose your hypotheses on what you see. Record exactly what happens, including detours and tool-switching. Confirm interpretations before leaving. Respect privacy and consent in [SETTING].

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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