# Triage creator first-looks after your launch

> Fresh-upload filters plus key-quotes compress launch-week reaction videos into a feedback sheet by end of day.

- For: PM
- Category: Product & UX Research
- MCP tools: deep_search, run_youtube_tool
- HTML version: https://veridive.com/mcp/use-cases/first-look-feedback-triage

## The problem

Launch week generates a feedback firehose with a deadline attached: the first-look and hands-on videos land within days, they shape the launch's public narrative, and they contain your earliest unfiltered read on what shipped well — but only if someone processes them while the launch team can still respond. By week two, the videos are watched or wasted; the iteration window they informed has moved.

The PM reality is crueler: launch week is exactly when nobody has three hours for YouTube. So the earliest, most consequential external feedback arrives precisely when the team is least able to consume it — unless consumption stops requiring the hours.

## How veridive MCP helps

**deep_search** catches the wave daily: uploads about your launch, filtered to `today`/`this_week`, newest first — first-looks, hands-ons and early reviews as they land, with evidence snippets showing what each covers.

**run_youtube_tool** compresses each into triage form: `summarizer` for the take, `key-quotes` for the verbatim reactions — what delighted, what confused, what got compared to rivals, in the creator's own words. By end of each launch-week day, the team reads a feedback sheet: reaction themes, quotes with sources, confusion recurring across creators (that's your docs hotfix), and the early narrative forming (that's comms' brief). The window stays open because the processing stopped costing hours.

## How to run it

1. **Connect veridive MCP** — One-time setup: add the veridive MCP server to Claude, ChatGPT, Cursor or any MCP client and generate your API key. Takes about two minutes.
2. **Catch today's wave** — Fresh uploads about the launch — the day's first-looks, as they land.

   ```
   Find videos uploaded today about <product/launch> — first looks, hands-ons, early reviews, newest first — use veridive's deep_search.
   ```
3. **Compress into the sheet** — Summary and verbatim reactions per video — the day's feedback, readable in minutes.

   ```
   For each of these, summarize the take and pull key quotes: what they praised, what confused them, what they compared us to: <video URLs> — use veridive's run_youtube_tool.
   ```
4. **Route what recurs** — Cross-creator recurrence is the triage signal: confusion → docs, misreads → comms, praise → marketing.

   ```
   Across today's videos: what confusion or criticism recurs (with quotes), and what's the narrative forming? Split into docs, comms and marketing actions.
   ```

## Problems it solves

- Launch-week creator feedback lands when the team has zero hours to watch it.
- The iteration window the videos inform closes before manual processing finishes.
- Recurring confusion across creators — the docs-hotfix signal — is invisible video-by-video.
- The launch narrative forms in public while the team reads internal dashboards.

## Why it's valuable

- The earliest external feedback becomes a daily sheet, not a someday backlog.
- Verbatim reactions with sources feed docs, comms and marketing the same afternoon.
- Cross-creator recurrence separates one grumpy take from a real launch issue.
- The narrative gets read while it's still forming — respondable, not archaeological.

## Example prompts

```
Videos uploaded today about <launch> — first looks, newest first — use veridive's deep_search.
```

```
Summaries + key quotes per video: praise, confusion, comparisons: <URLs>
```

```
What recurs today? Split into docs / comms / marketing actions with quotes.
```

## FAQ

**How does this differ from crisis monitoring?**

Same daily-sweep skeleton, opposite valence: crisis monitoring tracks a story against you with comment sentiment; this triages product feedback from launch coverage. Machinery overlaps — launch weeks that go sideways can flip from one to the other seamlessly.

**Should we also read the comments on those first-looks?**

Second-order but valuable — comment-sentiment on the biggest first-looks shows how the audience receives the creator's take. Add it for the top three videos each day.

**How long should the daily cadence run?**

The first-look wave typically crests within two weeks; run daily through week one, then fold into the monthly sentiment pulse (see the brand pulse use case).

## Related use cases

- [Monitor a crisis as it unfolds on video](https://veridive.com/mcp/use-cases/crisis-video-monitoring.md) — Fresh-upload sweeps plus comment sentiment show how the story and the reaction are moving hour by hour.
- [Take the sentiment pulse under your videos](https://veridive.com/mcp/use-cases/brand-video-sentiment-pulse.md) — Comment summarizer and sentiment across your uploads: what's landing, what's confusing, what's brewing.
- [Mine review videos for user pain](https://veridive.com/mcp/use-cases/user-pain-mining.md) — Reviewers narrate friction in real time; harvest the "why is this so hard" moments across your category.

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Part of the veridive MCP use-case library: https://veridive.com/mcp/use-cases.md
Server docs for agents: https://veridive.com/mcp.md