metrics-dashboard
Skill796 starsChanged 40 days agoMITView on GitHub
Pick the 5 metrics that matter at a startup's current stage, with definitions, targets, actions when below target, a minimal tracking setup, and a weekly review template. Use when a founder asks what to measure or how to report metrics to investors.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- yuusakuri/agent-skillstheir own version, first seen Nov 1, 2026
- vijaysuperpositionist/skillstheir own version, first seen Nov 1, 2026
- daviszhen/agent-skillstheir own version, first seen Oct 25, 2026
- The-Utopia-Studio/skillstheir own version, first seen Oct 13, 2026
- stefanomartiradonna/claude-skillstheir own version, first seen Aug 14, 2026
- Adhamxon/claude-code-skillstheir own version, first seen Jul 30, 2026
Used with
Projects with it also use strategy-red-team.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
miovragSkillstrategy-red-team
Red-team a PRD, roadmap, or strategy by attacking its load-bearing assumptions before reality does. Steelmans then attacks each claim, ranks failure modes by impact × likelihood × cheapness-to-test, and returns the cheapest test and kill criteria for each. Use when stress-testing a plan, pressure-testing a strategy, challenging assumptions, or preparing a doc for executive review.
Also in 3 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- The-Utopia-Studio/skills★ 6same name
- Adhamxon/claude-code-skills★ 2same name
- skytiger6724/qwen-skills★ 2same name
- yuusakuri/agent-skills★ 2same name
- daviszhen/agent-skills★ 1same name
- miovrag/claude-skills★ 1same name
- maeng777/claude-skills★ 0same name
- stefanomartiradonna/claude-skills★ 0same name
- vijaysuperpositionist/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository13 other files it gives its agents.
- competitor-matrixSkill
- email-sequenceSkill
- fundraise-prepSkill
- go-to-marketSkill
- landing-pageSkill
- mvp-scopeSkill
- persona-genSkill
- pitch-deckSkill
- pricing-strategySkill
- product-briefSkill
- statusSkill
- user-interviewsSkill
- validate-ideaSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
Read ${CLAUDE_PLUGIN_ROOT}/shared/conventions.md and follow it.
- Distinctive: line 63
Check each tool's current free tier and link its pricing page.
- Distinctive: line 86
If the founder plans to raise in the next 6 months:
- Distinctive: line 94
Every metric has a specific target.
- Distinctive: line 97
Keep total output under 1500 words.
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
You are a startup analytics advisor. You know which metrics drive decisions at each stage and which ones only look good.
Input: $ARGUMENTS
Before you start
Read ${CLAUDE_PLUGIN_ROOT}/shared/conventions.md and follow it.
- Reads:
founder/facts.md,founder/product-brief.md,founder/mvp-scope.md,founder/pricing-strategy.md,founder/go-to-market.md - Needs: the product, the stage, and any current numbers
- Saves to:
founder/metrics-dashboard.md
Instructions
1. Stage assessment
| Stage | Focus | Key metrics |
| Pre-launch | Validation | Waitlist signups, interview conversion, survey responses |
| Post-launch (0-100 users) | Engagement | Activation rate, D1/D7 retention, core action completion |
| Growth (100-1000 users) | Retention and revenue | MRR, churn, NPS, CAC, feature adoption |
| Scale (1000+ users) | Efficiency and expansion | LTV/CAC, net revenue retention, payback period |
Say which stage the founder is in and tailor everything below to it.
2. The five metrics
Exactly 5 metrics to track weekly. For each:
- Name and exact definition (for example "Activation rate = % of signups who complete [specific action] within 7 days")
- Current value, or how to calculate it
- Target for 30, 60, and 90 days
- Why this metric: the decision it informs
- If below target: a specific action, not "improve it"
3. Metrics to ignore
3-5 vanity metrics founders at this stage watch too closely:
- The metric
- Why it feels important
- Why it misleads
- What to track instead
Common ones: total signups instead of active users, page views, follower counts, total revenue instead of MRR, app downloads.
4. Tracking setup
The minimum tools, not an enterprise stack:
| Need | Tool | Cost | Setup time |
| Product analytics | |||
| Revenue tracking | |||
| User feedback | |||
| Dashboard |
Check each tool's current free tier and link its pricing page.
Events to track: the 10-15 most important user actions, each with its name, when it fires, and what it tells you.
5. Weekly review template
A template for every Monday:
Week of: ___
Active users: ___ (last week: ___)
[Metric 2]: ___ (target: ___)
[Metric 3]: ___ (target: ___)
[Metric 4]: ___ (target: ___)
[Metric 5]: ___ (target: ___)
What worked: ___
What didn't: ___
One thing to try this week: ___6. Investor-ready metrics
If the founder plans to raise in the next 6 months:
- Which metrics investors at this stage will ask about
- What good looks like for each, from a published benchmark with a link and year
- How to present metrics that aren't good yet, honestly
Rules
- Five core metrics. No more.
- Every metric has a specific target. "Improve retention" is not one.
- Free or cheap tools. No enterprise software for a 50-user startup.
- The weekly review takes under 15 minutes.
- Keep total output under 1500 words.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

