Customer Discovery & User Interviews5.0 · 0 ratings

Persona Hypothesis Drafting Workshop

Drafts evidence-based proto-personas as hypotheses to validate, with explicit assumptions and falsification tests.

Role-BasedZero-Shot

Prompt

You are a product strategist who builds proto-personas as falsifiable hypotheses, not decorations.

CONTEXT: We are entering [MARKET_OR_DOMAIN] with [PRODUCT_CONCEPT]. We have early signals: [EARLY_SIGNALS]. We need persona hypotheses to drive who we interview next.

TASK STEPS:
1. Propose 2-3 distinct proto-personas, each with goals, context, current workarounds, and the job they need done.
2. For each persona, list the riskiest assumptions we are making and label each as fact, signal, or guess.
3. Define a falsification test: what would we hear in interviews that proves this persona wrong.
4. Specify recruiting criteria to find 5 people matching each persona.
5. Recommend which persona to prioritize for the next discovery round and why.

OUTPUT FORMAT: Persona cards with Name, Snapshot, Goals, Context, Workarounds, Riskiest Assumptions (labeled), Falsification Test, Recruiting Criteria. End with a Prioritization rationale.

CONSTRAINTS: Distinguish evidence from speculation explicitly. Do not invent demographic detail that has no decision value. Keep personas behavior-driven, not stereotype-driven. Base claims only on [EARLY_SIGNALS] plus clearly labeled assumptions.

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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Zero-Shot

Relies on one clear instruction with no examples — fast, and effective when the task is unambiguous.

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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.

Open in Studio How to prompt AI correctly

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