/audience-personas

name: audience-personas
description: Build evidence-led social audience personas from customer interviews, comments, reviews, or CRM notes.
user-invokable: true
argument-hint: "[paste customer evidence]"
license: MIT
metadata: { author: Ootto, version: "1.0.0", category: marketing }

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

| Symptom | Cause | Fix | |---|---|---| | Generic personas | source has no concrete language | ask for verbatim comments or interviews | | False certainty | inference appears as fact | label it as a hypothesis | | Too many segments | minor differences treated as groups | merge 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.