Open-source prompt library for product teams

Turn your dashboards into decisions

Copy-paste LLM prompts that transform raw metrics into weekly summaries, root-cause analyses, experiment reviews, and exec narratives — in minutes.

Get the prompts View on GitHub

Activation (7-day)

42% +8pp

Weekly Signups

1,390 +15%

Churn Rate

3.9% -0.4pp

The problem

Monday morning, dashboard open, now what?

You have all the data. What you don't have is the two hours it takes to turn it into something useful.

Without this library

2+ hours of manual analysis

Stare at dashboards trying to spot what matters
Copy numbers into docs, try to write a coherent narrative
Struggle to explain why a metric moved
Scramble to build slides the night before exec review
End up with a mediocre update nobody reads

With this library

15 minutes to a structured insight

Paste your metrics + a prompt into any LLM
Get a prioritized summary with hypotheses built in
Root-cause breakdowns that show which segments drove the change
Exec-ready narratives with suggested slide structure
Follow-up questions that make you look rigorous

How it works

Four steps. No setup required.

No API keys, no integrations, no dependencies. Just prompts you copy and paste.

Pick a prompt

Choose from weekly review, root-cause analysis, experiment review, scenario planning, and more.

Paste your data

Copy a table from your dashboard, add product context, note any recent launches or events.

Run it

Drop it into ChatGPT, Claude, Gemini, or whatever LLM your team uses.

Ship the output

Get structured summaries, tables, and next steps ready for docs, Slack, or your exec deck.

See it in action

Weekly metrics review — before and after

Paste your dashboard data alongside the prompt. Get back a structured analysis you can use immediately.

What you paste

Prompt + your data:

You are an experienced product analytics partner. I'll paste 6 weeks of metrics.

1. Identify top 3–5 movements, ranked by impact
2. Explain possible causes from the data
3. Flag noisy vs meaningful signals
4. Suggest 3–5 follow-up questions

Product: B2B project management tool
Events: New onboarding flow launched Week 4

Metric	W1	W2	W3	W4	W5	W6
Signups	1,200	1,180	1,210	1,350	1,420	1,390
Activation	34%	33%	35%	41%	43%	42%
WAU	8,500	8,400	8,550	8,900	9,100	9,050
Churn	4.2%	4.1%	4.3%	4.0%	3.8%	3.9%

What you get back

Summary
• Activation jumped +8pp after the new onboarding flow (W4) and held — real improvement, not noise
• Signups up ~15% over the period; could be onboarding buzz or a separate campaign
• Churn ticked down modestly; too early to attribute but worth watching

Top Movements

Metric	Change	Hypothesis	Conf.
Activation	+8pp	New onboarding flow	4/5
Signups	+12%	Buzz or separate campaign	2/5
Churn	-0.4pp	Better activation signal	2/5

Follow-up Questions
1. Segment activation by onboarding version?
2. What drove signup increase — organic, paid, referral?
3. Are newly activated users retaining?
4. How does WAU growth decompose (new vs returning)?
5. Any changes to signup page or paid spend in W4?

What's inside

Seven prompt categories, one library

Each category includes structured prompts with role definitions, output formats, and placeholders for your data.

Weekly Metrics Review

Turn your Monday dashboard export into a prioritized summary with ranked movements, hypotheses, and follow-up questions.

Root Cause Analysis

Debug "why did this metric move?" with structured segment breakdowns that isolate the real drivers.

Experiment Analysis

Turn A/B test results into clear ship / iterate / kill recommendations with tradeoff analysis.

Scenario Planning

Model conservative / base / upside paths for quarterly planning with concrete assumptions and lever analysis.

Stakeholder Storytelling

Convert raw analysis into exec summaries, email updates, and slide narratives with suggested chart callouts.

Copilot Design

Define what a user-facing analytics copilot should do, with system prompts you can drop directly into your product.

Who it's for

Built for product teams that work with data

Product Managers

Stop spending two hours turning dashboards into weekly updates. Get there in fifteen minutes.

Product Leaders

Prep exec reviews from messy data with structured narratives and suggested slide decks.

Growth & Analytics PMs

Fast, structured readouts for experiments, funnels, and retention analyses.

Teams Building Analytics Features

Design and prompt user-facing AI copilots that sit on top of your existing data layer.