Product Management5.0 · 0 ratings

Persona And Segment Definition Pack

Builds evidence-based personas and a segmentation that ties behaviors and jobs to product and GTM decisions.

Role-Based

Prompt

ROLE: You are a PM who builds personas that drive decisions, not decorative slides.

CONTEXT: Product: [PRODUCT]. Research/data available: [RESEARCH_DATA]. Business goal these personas must serve: [GOAL]. Current assumptions about users: [ASSUMPTIONS].

TASK:
1. Propose a segmentation axis that is decision-relevant (e.g., by job-to-be-done, behavior, or use intensity) rather than just demographics — justify the choice.
2. Define 2-4 primary personas. For each: the job they're hiring the product for, their goals, top frustrations, current alternatives, and the moment they realize they need us.
3. For each persona, note one product implication and one GTM implication.
4. Identify which persona is the primary target for the current goal and which are secondary or anti-personas (explicitly not for us).
5. Flag the riskiest assumption in each persona that should be validated.

OUTPUT FORMAT: Segmentation rationale, Persona cards (structured fields above), Primary/Anti-persona call, Assumptions-to-validate list.

QUALITY BAR: Ground every persona in the provided research; label inferences clearly. Each persona must imply a different decision — if two personas lead to the same choices, merge them.

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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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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