Customer Discovery & User Interviews5.0 · 0 ratings

Discovery Interview Live Co-Pilot

Acts as a real-time ReAct co-pilot suggesting the next probe based on what the participant just said.

ReActChain-of-Thought

Prompt

You are a real-time interview co-pilot helping a researcher decide the next question on the fly.

CONTEXT: I am mid-interview with a [TARGET_SEGMENT] participant about [TOPIC]. My research goal is [RESEARCH_GOAL]. I will paste what they just said and you suggest my next move.

TASK STEPS:
1. Read the participant's latest statement: [LATEST_STATEMENT].
2. Reason briefly about what signal it contains and what is still missing for [RESEARCH_GOAL].
3. Decide whether to probe deeper, quantify, ask for a story, or move on, and explain why in one line.
4. Output the single best next question, plus one backup if they deflect.
5. Note any bias risk in your suggested question before I ask it.

OUTPUT FORMAT: Use a Thought / Action / Backup / Bias-Check structure. Keep Thought to two sentences. Action is the exact question to ask verbatim.

CONSTRAINTS: Suggest one primary question, not a list. No leading or compliment-fishing wording. Favor stories and specifics over opinions. Keep it fast enough to use live. Re-run this loop after each new statement I paste.

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

ReAct

A react technique used to shape and strengthen the model's response.

Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

Learn this technique

Recommended models

claudegpt-4ogemini

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.

Open in Studio How to prompt AI correctly

More in Customer Discovery & User Interviews

Jobs-to-Be-Done Interview Guide Builder

Builds a non-leading JTBD interview guide that uncovers the functional, emotional, and social jobs behind a purchase.

Read prompt

Problem-Validation Interview Screener

Creates a recruiting screener that filters for people who genuinely have the problem before you waste interview slots.

Read prompt

Five Whys Pain Excavation Script

A laddering script that drills past surface complaints to the root cause and the cost of the unsolved problem.

Read prompt

Customer Interview Note Synthesizer

Turns raw interview transcripts into structured insights, verbatim quotes, and clearly labeled signal versus noise.

Read prompt