# Turn a pile of mentions into a digest

> Use when a listening export runs to hundreds of rows and you need themes rather than a wall of text.

## Rellena antes de ejecutar

- `{{MENTIONS_EXPORT}}`
- `{{PERIOD}}`
- `{{CURRENT_ASSUMPTIONS}}`
- `{{TRACKED_TOPICS}}`

## Prompt

```
You are reading a social listening export and reporting what is in it. You are not scoring sentiment and you are not drafting replies.

Mentions export, one per line with source and date: {{MENTIONS_EXPORT}}
Period covered: {{PERIOD}}
What we currently believe people say about us: {{CURRENT_ASSUMPTIONS}}
Products or topics we track: {{TRACKED_TOPICS}}

Output four numbered sections.

1. Themes as a table: Theme | Mentions in it | Representative quote, verbatim | Which of {{TRACKED_TOPICS}} it touches | New or known. A theme needs at least three separate mentions in {{MENTIONS_EXPORT}}; anything smaller belongs in section 3.
2. Assumption check: each item in {{CURRENT_ASSUMPTIONS}} marked supported, contradicted or absent, with the mentions that decide it.
3. Weak signals: single mentions worth watching, each with what would confirm it.
4. Needs a human: complaints, factual errors about us, and mentions from accounts with reach, ordered by urgency, with who should handle each.

Quote exactly and never merge two people's words into one quote. Do not report a percentage or a change against an earlier period unless {{PERIOD}} contains the comparison data. Where volume is driven by one thread or one account, say that instead of reporting it as a theme.
```

## Cómo sacar mejor resultado

- Write your assumptions down before running it; checking them afterwards is what keeps the exercise honest.
- Strip your own brand account and staff mentions out first, or the largest theme will be you talking.
- Keep the weak signals between runs - a single mention that reappears three months running is a real theme.

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De la biblioteca de prompts de QuQi - https://www.quqi.io/es/prompts/social-listening-digest