product-analytics
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/daffy0208/ai-dev-standards --skill product-analytics- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads product-analytics automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Product Analytics
Measure what matters and make data-driven decisions.
North Star Metric
The ONE metric that represents customer value
Examples:
Slack: Weekly Active Users
Airbnb: Nights Booked
Spotify: Time Listening
Shopify: GMV
Your North Star should: ✅ Represent customer value
✅ Correlate with revenue
✅ Be measurable frequently
✅ Rally the team
Key Metrics Hierarchy
North Star Metric
├── Input Metrics (drive North Star)
│ ├── Acquisition
│ ├── Activation
│ └── Retention
└── KPIs (business health)
├── Revenue
├── Churn
└── LTV
Event Tracking
// Track user actions
analytics.track('Button Clicked', {
button_name: 'signup',
page: 'homepage',
user_id: '123'
})
// Track page views
analytics.page('Homepage', {
referrer: document.referrer,
path: window.location.pathname
})
// Identify users
analytics.identify('user-123', {
email: 'user@example.com',
plan: 'pro',
created_at: '2024-01-15'
})
Funnel Analysis
Sign-up Funnel:
1. Land on homepage: 10,000 (100%)
2. Click signup: 2,000 (20%)
3. Fill form: 1,000 (10%)
4. Verify email: 800 (8%)
5. Complete onboarding: 400 (4%)
Insights:
- Biggest drop: Homepage to signup (80% lost)
- Fix: Clarify value prop, add social proof
Cohort Analysis
Week 1 Cohort (Jan 1-7):
- D1: 80% active
- D7: 40% active
- D30: 20% active
Week 2 Cohort (Jan 8-14):
- D1: 85% active (+5%)
- D7: 50% active (+10%)
- D30: 30% active (+10%)
Insight: Onboarding changes improved retention!
Retention Curves
Good Retention:
- D1: 60-80%
- D7: 40-60%
- D30: 30-50%
- Flattening curve (good!)
Bad Retention:
- D1: 40%
- D7: 10%
- D30: 2%
- Steep drop-off (bad!)
Key Metrics to Track
Acquisition
- Traffic sources (organic, paid, referral)
- Cost per click (CPC)
- Conversion rate (visitor → signup)
Activation
- Signup → first core action
- Time to value
- Onboarding completion rate
Retention
- DAU / MAU (stickiness)
- Retention rate D1, D7, D30
- Churn rate
Revenue
- MRR / ARR
- ARPU (Average Revenue Per User)
- LTV (Lifetime Value)
- LTV:CAC ratio
Referral
- Viral coefficient
- Referral signups
- NPS (Net Promoter Score)
## Tools
```yaml
Event Tracking:
- Mixpanel (best for products)
- Amplitude (good alternative)
- PostHog (open-source)
Session Recording:
- FullStory
- LogRocket
- Hotjar
A/B Testing:
- Optimizely
- VWO
- Google Optimize (free)
Dashboard Design
Executive Dashboard:
- North Star Metric (big number)
- Revenue (MRR/ARR)
- Key metric trends (graphs)
Product Dashboard:
- Active users (DAU/WAU/MAU)
- Feature usage
- Retention cohorts
- Funnels
Marketing Dashboard:
- Traffic sources
- Conversion rates
- Cost per acquisition
- ROI by channel
Summary
Great analytics:
- ✅ One North Star Metric
- ✅ Track everything
- ✅ Regular review (weekly)
- ✅ Share insights widely
- ✅ Act on data quickly
FAQ
What does the product-analytics skill do?
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
How do I install product-analytics?
Run npx skills add https://github.com/daffy0208/ai-dev-standards --skill product-analytics in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/product-analytics/ (personal) or .claude/skills/product-analytics/ (project).
Which AI agents can use product-analytics?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is product-analytics safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains product-analytics?
It is published by daffy0208 in daffy0208/ai-dev-standards. It has 241 recorded installs.
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