---
name: ootto-ai-audience-personas
description: "Build evidence-led social audience personas from customer interviews, comments, reviews, or CRM notes."
license: "MIT"
metadata:
  decimalai-skill-id: "0243872a-b9d1-4753-a2fe-6f5a9c805d65"
  decimalai-version-id: "ead8e6f5-1317-448b-8ef5-7d8356a9903a"
  decimalai-version: "1"
  decimalai-body-sha256: "068f139c996cb99f3329bd636b1995c7ab90b1576bdb4dd0c403d547ec10072e"
  decimalai-name: "ootto-ai/audience-personas"
  decimalai-format: "1"
  decimalai-invocation: "model"
  decimalai-category: "marketing"
  decimalai-source: "https://app.decimal.ai/s/ootto-ai-audience-personas@1/SKILL.md"
---
# 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.