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SKILL verified MIT Self-run

Pm Proto Persona

skill-jiplet-transformation-os-pm-proto-persona · by Jiplet

Create an initial hypothesis-driven user persona from available research, market data, and stakeholder knowledge. Use when the user asks to "create a persona", "define our target user", "build a proto-persona", or needs to align a team on who they're building for before extensive research is complete.

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Install

$ agentstack add skill-jiplet-transformation-os-pm-proto-persona

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Purpose

Create an initial, assumption-based persona profile that synthesises available user research, market data, and stakeholder knowledge into a working hypothesis about your target user. Use this to align teams early in product development, guide initial design decisions, and identify gaps in understanding that require validation through research.

This is not a validated persona — it's a "proto" (prototype) persona that evolves as you learn more.

Key Concepts

Proto vs. Validated Persona

| Proto-Persona | Validated Persona | |---|---| | Created in hours/days | Created over weeks/months | | Based on assumptions + limited research | Based on extensive user research | | Used to align teams early | Used to guide detailed design | | Evolves rapidly | Stable over time |

When to Use

  • Early-stage product development (before extensive user research)
  • Kicking off a new feature or pivot
  • Aligning stakeholders on target users
  • Identifying research gaps

When NOT to Use

  • After you've done extensive user research (create a validated persona instead)
  • As a substitute for quantitative data

Application

Step 1: Gather Available Context

Collect before creating:

  • User research: interview notes, survey results, support tickets
  • Analytics: usage data, demographics, behavioural patterns
  • Market data: industry reports, competitor user bases
  • Stakeholder insights from sales/support/CS teams

If missing context: Note gaps — don't fabricate.

Step 2: Build the Persona

### Name
- [Alliterative, memorable name — e.g., "Manager Mike", "Startup Sarah"]

### Bio & Demographics
- [Age range]
- [Geographic location]
- [Social status]
- [Online presence]
- [Leisure activities]
- [Career status — job title, industry, seniority]

### Quotes
- "[Quote revealing how they think or speak]"
- "[Quote revealing frustrations or motivations]"
- "[Quote revealing attitudes or beliefs]"

### Pains
- [Pain point 1 — be specific, not vague]
- [Pain point 2]
- [Pain point 3]

### What is This Person Trying to Accomplish?
- [Observable behaviour or outcome 1]
- [Observable behaviour or outcome 2]
- [Observable behaviour or outcome 3]

### Goals
- [Short-term goal]
- [Long-term / aspirational goal]
- [Personal goal if relevant]

### Attitudes & Influences
- **Decision-Making Authority:** [Yes/No + context]
- **Decision Influencers:** [Who influences them — peers, analysts, managers]
- **Beliefs & Attitudes:** [Beliefs that impact adoption of your product]

Step 3: Validate and Iterate

  • Share with the team: does this persona resonate?
  • Tag assumptions: add [ASSUMPTION—VALIDATE] where uncertain
  • Plan research: use proto-persona to guide who to interview next
  • Evolve as you learn; graduate to a validated persona when confidence is high

Common Pitfalls

  • Demographics without behaviour: "28, lives in NYC" → add behavioural context
  • Treating as fact: tag assumptions explicitly
  • Creating 10 personas upfront: start with 1-2
  • Fabricating quotes: use real quotes or mark as [PLACEHOLDER—NEEDS RESEARCH]
  • Never validating: plan research sprints to test key assumptions

Related Skills

  • pm-problem-statement — Persona informs the "I am" section
  • pm-user-story — Stories use "As a [persona]"
  • pm-storyboard — Persona is the main character

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.