ThinkWithPrompt by SynotticThinkWithPrompt

Run a weekly growth meeting from my metrics

A focused weekly growth meeting agenda, metrics view, and experiment review that ends in clear decisions.

MeetingsFew-ShotStandardData & AnalyticsAnalyzeResearchFill-in Template

The prompt

Help me run an effective weekly growth meeting. Team attending: [ROLES - e.g. growth, paid, lifecycle, product, data, sales] North-star and input metrics: [e.g. "weekly new paid accounts" with inputs: traffic, signup rate, activation, conversion] This week's numbers: [PASTE vs. last week and target] Experiments live or finished: [LIST with results] Meeting length: [e.g. 45 minutes] Produce: 1. A standing agenda with timings: - Metrics review (10 min): only changes beyond normal variation, each with a one-line explanation or an owner to investigate. - Experiments finished (15 min): result, learning, decision (ship, iterate, kill). - Experiments starting (10 min): hypothesis and success metric confirmed. - Backlog and blockers (5 min). - Decisions and owners recap (5 min). 2. A one-page pre-read template that people fill in before the meeting, so time isn't spent reading numbers aloud. 3. Using my numbers this week: the 3 things worth discussing, the questions to ask, and anything that looks like noise rather than signal. 4. Rules that keep it productive: no new idea debates without a written hypothesis, decisions logged, a learning library updated weekly. 5. A monthly variant for reviewing velocity (experiments run, win rate, cumulative impact). Return the agenda, the pre-read template, and this week's discussion points. Work only from the numbers I paste; mark anything missing as [NEED].

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • ROLES - e.g. growth, paid, lifecycle, product, data, sales
  • PASTE vs. last week and target
  • LIST with results
  • e.g. 45 minutes
  • NEED

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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