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
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
| Decision | Options |
|---|---|
| Lens choice | Personas, JTBD, or both, matched to the research objective |
| Research-based vs. proto | Proto only as a labeled placeholder until real data arrives |
| Persona count | As few as cover real variation, usually 3 to 5, one primary |
| Which details | Psychographics first; anything that changes no decision gets cut |
| Segmentation depth | Demographic, psychographic, and behavioral layers on first-party data |
| AI's role | Synthesis 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.
Should we use personas or Jobs-to-Be-Done for this discovery project?
Review these personas and cut every detail that changes no decision.
Define the target audience for our next release from this research data.
