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audience-personas

audience-personas

github.com/ootto-aiMarketing & growth31162 installsUpdated 2w ago
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About audience-personas

A skill for turning supplied customer evidence into grounded audience segments. It is for marketers working with interviews, comments, reviews, or CRM notes, and avoids inventing demographics or unsupported personas.

Key features

  1. 01Clusters evidence by jobs, outcomes, and objections
  2. 02Preserves source language and citations
  3. 03Creates segments with message angles and questions
  4. 04Labels confidence and unresolved issues
  5. 05Flags claims and quotes needing review

Use cases

  1. 01Grouping interview notes into evidence-backed segments
  2. 02Finding message angles from reviews and comments
  3. 03Checking customer statements before public use

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/ootto-ai/claude-content-skills --skill audience-personas

After installing, type/audience-personasin Claude Code to confirm it loaded.

Details

From the project README

Audience Personas

Turn supplied customer evidence into grounded audience segments. Use it when a marketer has interviews, comments, reviews, or CRM notes and needs to decide who a message is for. It is not for inventing demographics, market size, or personas from intuition.

1. Establish the evidence

Ask for the source, date range, decision owner, offer, and desired audience action. Keep direct quotes separate from summaries and name material that is missing.

2. Group observable patterns

Cluster the evidence by job-to-be-done, desired outcome, objection, exact language, and trigger. Cite the source for each cluster. Do not manufacture a segment just to reach a round number.

3. Produce a usable segment

For each evidence-backed segment, return its job, language, objections, useful message angles, and the question it is already asking. Label confidence and unresolved questions.

4. Hold claims for review

Flag any demographic statement, outcome claim, or customer quote that needs approval before public use.

Hard rules

  • Do not infer demographics, income, identity, or intent not present in the source.
  • Do not turn one loud comment into a market-wide claim.
  • Keep observed language distinct from suggested copy.
  • If evidence is thin, ask for more comments, reviews, or interviews.

Failure modes

SymptomCauseFix
Generic personassource has no concrete languageask for verbatim comments or interviews
False certaintyinference appears as factlabel it as a hypothesis
Too many segmentsminor differences treated as groupsmerge around the shared job-to-be-done

Where it sits

social-listening gathers recurring conversation → audience-personas groups it → positioning-audit turns it into a message.

Comments

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