daffy0208/ai-dev-standards239 installs
product-analytics
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 this agent skill?
npx skills add https://github.com/daffy0208/ai-dev-standards --skill product-analyticsIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides documentation and templates for product analytics, including metrics hierarchy, event tracking examples, and funnel analysis guidelines. It contains no executable code or malicious instructions.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
2/2 files flagged
What does this agent skill do?
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
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/daffy0208/ai-dev-standards/product-analytics">View product-analytics on skillZs</a>