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Personas & Jobs-to-Be-Done: AI Skill for Product Management

Personas & Jobs-to-Be-Done is an AI skill that grounds personas and JTBD framings in real research, not invented demographic fiction. Every detail earns its place by changing a decision.

npx skills add Uxcel-Lab/product-skills --skill pm-personas-jtbd

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What this skill does

Stops an AI assistant from inventing demographic fiction and builds audience artifacts that trace to real research.

  • Establishes the research objective, stage, data, and resources before picking a lens.
  • Picks personas for the who, Jobs-to-Be-Done for the job, or both for product development.
  • Grounds every persona in interviews, field studies, surveys, and analytics.
  • Keeps only details that would change a design decision, psychographics first.
  • Limits the set to around three to five personas with one clear primary.
  • Labels proto-personas as assumption placeholders until research replaces them.
  • Hands the result to an assumption-rigor check to flag unvalidated claims.

When to use it

Use it when you need an AI assistant to:

  • create user personas from real research;
  • apply Jobs-to-Be-Done to a product question;
  • choose between personas, JTBD, or both;
  • define a target market and audience segment;
  • review existing personas for stereotypes and filler;
  • decide who a product is for.

Decisions this skill helps you make

DecisionOptions
Lens choicePersonas, JTBD, or both, matched to the research objective
Research-based vs. protoProto only as a labeled placeholder until real data arrives
Persona countAs few as cover real variation, usually 3 to 5, one primary
Which detailsPsychographics first; anything that changes no decision gets cut
Segmentation depthDemographic, psychographic, and behavioral layers on first-party data
AI's roleSynthesis and drafting after fieldwork, never invention

How the skill works

1

Establish the objective

The skill asks for the research objective, the stage, the data you have, and the resources.

2

Apply the core

It grounds every persona or job in real research and cuts detail that changes no decision.

3

Surface trade-offs

It presents the lens choice, persona count, and detail depth with a recommendation for each.

Try it with

Create user personas for our meal-planning app from these interview notes.

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Should we use personas or Jobs-to-Be-Done for this discovery project?

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Review these personas and cut every detail that changes no decision.

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Define the target audience for our next release from this research data.

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Related skills

1.0.0

MIT

Product Management

Foundations

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