home / skills / menkesu / awesome-pm-skills / growth-embedded
This skill helps you design growth-first features by embedding retention and referral mechanics from YC playbooks into your product from day one.
npx playbooks add skill menkesu/awesome-pm-skills --skill growth-embeddedReview the files below or copy the command above to add this skill to your agents.
---
name: growth-embedded
description: Builds growth loops into products from day 1 using YC playbook (Gustaf Alstromer), Casey Winters growth frameworks, and Elena Verna's retention-first approach. Use when adding viral mechanics, instrumenting analytics, creating referral systems, or optimizing for retention over acquisition.
---
# Growth-First Development
## When This Skill Activates
Claude uses this skill when:
- Building features that could have viral mechanics
- Adding referral or sharing functionality
- Implementing analytics and tracking
- Designing for network effects
- Optimizing for activation and retention
## Core Frameworks
### 1. YC Growth Playbook (Source: Gustaf Alstromer, Partner at YC)
**The Three Growth Levers:**
**π Acquisition** - How users discover you
**π― Activation** - First value experience
**π Retention** - Users coming back
**Priority Order:**
> "Retention first, activation second, acquisition last. Don't acquire users you can't retain."
**Growth Loops:**
```
User gets value β Shares with others β New users β Cycle repeats
```
**Examples:**
- Dropbox: More storage for referrals
- Superhuman: Invite-only creates FOMO
- Notion: Shared docs bring collaborators
---
### 2. Network Effects Patterns
**Types:**
**Direct Network Effects:**
- More users = more value for all
- Example: Social networks, marketplaces
**Data Network Effects:**
- More usage = smarter product
- Example: Recommendations, AI features
**Platform Network Effects:**
- More developers = more integrations
- Example: Shopify apps, Zapier
---
### 3. Referral Mechanics
**Double-Sided Incentive:**
```
Referrer gets: [benefit]
Referred gets: [benefit]
Both win: [shared value]
```
**Tracking:**
```javascript
// Referral flow
generateReferralLink(user) {
const link = `app.com/ref/${user.id}`;
track('referral_link_generated', { userId: user.id });
return link;
}
// Attribution
onSignup(referralCode) {
const referrer = getUserByRefCode(referralCode);
track('referral_signup', {
referrer: referrer.id,
referred: newUser.id
});
giveReward(referrer);
giveReward(newUser);
}
```
---
### 4. Activation Optimization
**Time to Value:**
> "Get users to 'aha moment' as fast as possible"
**Activation Milestones:**
1. Signup complete
2. Setup complete
3. First value delivered
4. Habit formed
**Measure:**
```
Activation Rate = (Users who reached value) / (Total signups)
```
---
## Decision Tree: Growth Feature
```
NEW FEATURE
β
ββ Can users share this? ββββββYESβββ ADD SHARE FUNCTIONALITY
β NO β
β
ββ Creates network effects? βββYESβββ OPTIMIZE FOR VIRAL LOOPS
β NO β
β
ββ First-time experience? βββββYESβββ OPTIMIZE ACTIVATION
β NO β
β
ββ Repeat usage? ββββββββββββββYESβββ INSTRUMENT RETENTION TRACKING
β NO β
β
ββ STANDARD FEATURE ββββββββββββββββββββ
(Still track basic analytics)
```
## Action Templates
### Template 1: Referral System
```markdown
# Referral Feature
## Incentive Structure
- **Referrer gets:** [reward]
- **Referred gets:** [reward]
- **Both benefit:** [shared value]
## Implementation
```javascript
// Generate referral link
const link = generateReferralLink(user);
// Track shares
track('referral_shared', {
channel: ['email', 'social', 'link'],
userId: user.id
});
// Track conversions
track('referral_converted', {
referrerId: referrer.id,
referredId: newUser.id,
timeToConversion: timestamp
});
// Reward both
giveReward(referrer, 'storage_upgrade');
giveReward(newUser, 'welcome_bonus');
```
## Metrics
- Link generation rate
- Share rate
- Conversion rate (clicked β signed up)
- Activation rate (signed up β activated)
- K-factor (viral coefficient)
```
### Template 2: Activation Flow
```markdown
# Activation Optimization
## Time to Value
- Target: <[X] minutes
- Current: [Y] minutes
## Activation Funnel
1. **Signup** (100% of signups)
2. **Profile Setup** ([X]%)
3. **First Action** ([X]%)
4. **Aha Moment** ([X]%)
5. **Habit Formation** ([X]%)
## Drop-off Points
- Biggest drop-off: [identify]
- Why: [hypothesis]
- Fix: [solution]
## Implementation
```javascript
// Track activation milestones
track('activation_milestone', {
milestone: 'profile_complete',
userId: user.id,
timeToComplete: seconds
});
// Identify where users drop off
if (!completedSetup(user, 24hours)) {
sendReminderEmail(user);
}
```
```
### Template 3: Growth Analytics
```markdown
# Growth Metrics Dashboard
## Acquisition
- New signups: [X per day]
- Channels: [organic, referral, paid]
- Cost per acquisition: [$X]
## Activation
- Activation rate: [X]%
- Time to first value: [X] minutes
- Drop-off point: [step in funnel]
## Retention
- Day 1: [X]%
- Day 7: [X]%
- Day 30: [X]%
- Retention curve: [improving / flat / declining]
## Referral
- K-factor: [X] (viral coefficient)
- Referral rate: [X]% of users refer
- Conversion rate: [X]% of referred sign up
## Implementation
```javascript
// Track key events
track('user_activated', { userId, timestamp });
track('user_retained_day7', { userId, timestamp });
track('referral_sent', { referrerId, channel });
```
```
## Quick Reference
### π Growth Checklist
**Acquisition:**
- [ ] Referral system implemented
- [ ] Viral loops identified
- [ ] Share buttons prominent
**Activation:**
- [ ] Time to value < 5 minutes
- [ ] Onboarding optimized
- [ ] Aha moment clear
**Retention:**
- [ ] Usage triggers implemented
- [ ] Email/push notifications
- [ ] Habit formation designed
**Analytics:**
- [ ] Cohort retention tracking
- [ ] Funnel analysis
- [ ] Attribution tracking
---
## Real-World Examples
### Example 1: Dropbox Referral
**Incentive:**
- Referrer: +500MB storage
- Referred: +500MB storage
- Both win: More space
**Result:** 35% of signups from referrals
---
### Example 2: Superhuman Activation
**Time to Value:**
- < 2 minutes to first email sent
- Guided onboarding
- Keyboard shortcuts taught early
**Result:** 90%+ retention
---
### Example 3: Notion Network Effects
**Growth Loop:**
- User creates doc β Shares with team β Team joins Notion β Creates more docs β Cycle repeats
**Result:** Viral growth in teams
---
## Common Pitfalls
### β Mistake 1: Optimizing Acquisition Before Retention
**Problem:** Leaky bucket - users leave as fast as they join
**Fix:** Fix retention first, then acquire
### β Mistake 2: No Viral Mechanics
**Problem:** Every user requires paid acquisition
**Fix:** Build sharing into core features
### β Mistake 3: Slow Activation
**Problem:** Users drop off before seeing value
**Fix:** Get to aha moment in < 5 minutes
---
## Related Skills
- **zero-to-launch** - For building growth into MVP
- **metrics-frameworks** - For measuring growth metrics
- **exp-driven-dev** - For A/B testing growth features
- **user-feedback-system** - For improving retention
---
## Key Quotes
**Gustaf Alstromer:**
> "Retention first, activation second, acquisition last. Don't pour water into a leaky bucket."
**Casey Winters:**
> "The best growth loops are built into the product, not bolted on."
**Elena Verna:**
> "Acquisition is a tax on poor retention."
---
## Further Learning
- **references/yc-growth-playbook.md** - Complete YC growth frameworks
- **references/referral-examples.md** - Successful referral programs
- **references/activation-patterns.md** - Onboarding best practices
- **references/retention-strategies.md** - Building habit-forming products
This skill builds growth loops into products from day one using the YC playbook, Casey Winters frameworks, and a retention-first mindset inspired by Elena Verna. It helps product teams design viral mechanics, referral systems, activation funnels, and retention instrumentation so growth is a built-in outcome, not an afterthought. Use it to turn core product interactions into repeatable user-driven acquisition and higher lifetime value.
The skill inspects feature designs and activation flows to identify shareable moments, network-effect opportunities, and time-to-value bottlenecks. It recommends incentive structures, event tracking, and funnel metrics, plus concrete implementation snippets for referral links, milestone tracking, and retention cohorts. Outputs include a decision tree to prioritize work, measurable success metrics, and action templates you can drop into engineering and analytics plans.
What if my product isnβt inherently social?
Look for adjacent share moments: export, collaboration, templates, or outcomes users want to showcase. Even utility products can use referrals and rewards tied to outcomes.
How do I pick referral incentives?
Choose incentives aligned with product value and marginβdouble-sided rewards work best. Test small, measurable rewards and iterate based on conversion and retention lift.
Which metrics matter most initially?
Start with activation rate, time-to-value, Day 1/7 retention, referral conversion rate, and K-factor. These reveal whether loops are self-sustaining.