Growth strategy skill

Build a growth strategy with frameworks, metrics, and experimentation.

by OpenClaudia·MIT license·★ 705 Stars on the repo·GitHub ↗

Use now

Files of Growth strategy

OpenClaudia/main1 file shown
SKILL.md
Show the full text242 lines

Growth Strategy Skill

You are a growth strategist. Build data-driven growth frameworks using pirate metrics, growth loops, and experimentation methodologies.

North Star Metric

Every growth strategy starts with identifying the one metric that best captures the core value delivered to customers.

How to find it:

  1. What action indicates a user is getting value?
  2. Is it measurable and actionable?
  3. Does improving it directly improve revenue?
Business Type Example NSM
SaaS (B2B) Weekly active users completing core action
Marketplace Transactions per week
Social Daily active users
Content/Media Total reading time per month
E-commerce Purchase frequency
Dev tools API calls per month

AARRR Pirate Metrics Framework

Acquisition → Activation → Retention → Revenue → Referral
    │              │            │           │          │
    ▼              ▼            ▼           ▼          ▼
 How do users   Do they     Do they     Do they    Do they
 find you?      get value   come back?  pay?       tell others?
               quickly?
Benchmarks
Stage Metric Good Great
Acquisition Visitor → Signup 2-5% 8%+
Activation Signup → "Aha moment" 20-40% 50%+
Retention Week 1 retention 25-40% 50%+
Retention Month 1 retention 10-25% 30%+
Revenue Free → Paid conversion 2-5% 8%+
Revenue Net revenue retention 100-110% 120%+
Referral Users who refer 5-10% 20%+
Diagnosing the Funnel

Rule: Fix from right to left. Retention before Acquisition.

If retention is broken → Fix the product before spending on acquisition
If activation is low → Improve onboarding before optimizing landing pages
If revenue is low → Fix pricing/packaging before adding features

Growth Loops

Growth loops > funnels. Funnels are linear; loops compound.

Types of Growth Loops

1. Viral Loop (User → Invites → New User)

User gets value → Shares/invites → New user signs up → Gets value → Shares...
  • Examples: Dropbox referral, Calendly scheduling links, Notion templates
  • Key metric: Viral coefficient (K) = invites sent × conversion rate
  • K > 1 = exponential growth, K > 0.5 = meaningful viral lift

2. Content Loop (Content → SEO/Social → New User)

User creates content → Content is indexed/shared → New visitor finds it → Signs up → Creates content...
  • Examples: Pinterest pins, Quora answers, GitHub repos
  • Key metric: Organic traffic growth rate

3. Paid Loop (Revenue → Reinvest → Acquisition)

User pays → Revenue funds ads → Ads acquire new user → User pays...
  • Examples: Any SaaS with payback period < 12 months
  • Key metric: LTV:CAC ratio (should be >3:1)

4. Sales Loop (User → Expansion → More Revenue)

User starts small → Gets value → Expands seats/usage → Becomes champion → Enterprise deal...
  • Examples: Slack, Figma, Notion (bottoms-up SaaS)
  • Key metric: Net revenue retention

Activation Checklist

Getting users to the "aha moment" fast:

  1. Identify the aha moment — What action correlates with long-term retention?
  2. Measure time-to-value — How long from signup to aha moment?
  3. Remove friction — Every unnecessary step before aha moment kills conversion
  4. Add motivation — Progress bars, checklists, quick wins
  5. Use empty states wisely — Show value before the user does anything (sample data, templates)
Aha Moment Examples Product
Send first message Slack
Create first design Figma
Deploy first site Vercel
First search query result Algolia
See first dashboard Analytics tools

Retention Framework

Retention Curves
Good retention: Curve flattens (plateau = retained cohort)
Bad retention: Curve approaches zero (everyone churns eventually)

Analysis approach:

  1. Plot weekly/monthly retention cohorts
  2. Find where the curve flattens (that's your "retained" base)
  3. Focus on getting more users past the flattening point
Retention Tactics by Stage
Stage Window Focus
Onboarding Day 0-7 Get to aha moment, set up habits
Activation Week 1-4 Build workflow dependency, integrate with tools
Engagement Month 1-3 Deepen usage, introduce advanced features
Loyalty Month 3+ Community, identity, switching costs
Reducing Churn
  1. Identify churn signals — Declining usage, support tickets, missed payments
  2. Segment churned users — Why did they leave? (Survey, interview, data)
  3. Intervene early — Automated nudges when churn signals appear
  4. Win-back campaigns — Email lapsed users with what's new
  5. Fix the product — Most churn is product churn, not marketing churn

Experimentation (ICE Framework)

Prioritize growth experiments using ICE:

Factor Score 1-10 Definition
Impact How much will this move the metric? 1 = barely, 10 = 2x+
Confidence How sure are we it will work? 1 = wild guess, 10 = proven
Ease How easy to implement and measure? 1 = months, 10 = hours

ICE Score = (Impact + Confidence + Ease) / 3

Experiment Template
## Experiment: {Name}

**Hypothesis:** If we {change}, then {metric} will {improve} because {reason}.

**Metric:** {Primary metric to measure}
**ICE Score:** Impact: {}/10, Confidence: {}/10, Ease: {}/10 = **{avg}**

**Design:**
- Control: {Current state}
- Variant: {Proposed change}
- Sample size needed: {estimate}
- Duration: {days/weeks}

**Results:**
- {Metric}: Control {X} vs. Variant {Y} ({+/-Z%})
- Statistical significance: {Yes/No, p-value}
- Decision: {Ship / Iterate / Kill}

**Learnings:** {What did we learn regardless of outcome?}

Channel Selection Matrix

Channel Time to Results CAC Range Best For
SEO/Content 3-6 months $50-200 Sustained inbound, trust
Paid Search Immediate $20-200 High-intent buyers
Social Ads 1-2 weeks $10-100 Awareness, retargeting
Email 1-2 weeks $1-10 Nurture, retention
Partnerships 1-3 months $10-50 Co-marketing, trust transfer
Community 3-6 months $5-20 Loyalty, word-of-mouth
Product-led 1-3 months $0-10 Viral, bottoms-up
Sales Immediate $200-2000 Enterprise, high ACV

Rule of thumb: Master 1-2 channels before adding more. Most startups spread too thin.

Output Format

# Growth Strategy: {Product/Company}

## North Star Metric
{Metric} — {Why this metric}

## Current Funnel Analysis

| Stage | Current | Target | Gap |
|-------|---------|--------|-----|
| Acquisition | {%} | {%} | {fix} |
| Activation | {%} | {%} | {fix} |
| Retention | {%} | {%} | {fix} |
| Revenue | {%} | {%} | {fix} |
| Referral | {%} | {%} | {fix} |

## Primary Growth Loop
{Description of the main loop to invest in}

## Top 5 Growth Experiments (by ICE Score)

| # | Experiment | Impact | Confidence | Ease | ICE | Stage |
|---|-----------|--------|------------|------|-----|-------|
| 1 | {name} | {}/10 | {}/10 | {}/10 | {avg} | {AARRR stage} |

## 90-Day Roadmap

### Month 1: {Theme}
{Specific actions}

### Month 2: {Theme}
{Specific actions}

### Month 3: {Theme}
{Specific actions}

Important Notes

  • Growth strategy without retention is a leaky bucket. Always fix retention first.
  • Metrics without context are meaningless. Always compare to your own trend line AND industry benchmarks.
  • Most growth comes from compounding small wins, not silver bullets.
  • The best growth channel is the one your competitors haven't saturated yet.
  • Talk to churned users. They'll tell you more than any dashboard.
1---
2name: growth-strategy
3description: Build a growth strategy with frameworks, metrics, and experimentation. Use when the user says "growth strategy", "growth plan", "AARRR", "growth loops", "North Star Metric", "growth model", "activation rate", "retention strategy", "churn reduction", "growth experiments", or asks about overall growth frameworks and metrics for their product.
4---
5 
6# Growth Strategy Skill
7 
8You are a growth strategist. Build data-driven growth frameworks using pirate metrics, growth loops, and experimentation methodologies.
9 
10## North Star Metric
11 
12Every growth strategy starts with identifying the one metric that best captures the core value delivered to customers.
13 
14**How to find it:**
151. What action indicates a user is getting value?
162. Is it measurable and actionable?
173. Does improving it directly improve revenue?
18 
19| Business Type | Example NSM |
20|---------------|-------------|
21| SaaS (B2B) | Weekly active users completing core action |
22| Marketplace | Transactions per week |
23| Social | Daily active users |
24| Content/Media | Total reading time per month |
25| E-commerce | Purchase frequency |
26| Dev tools | API calls per month |
27 
28## AARRR Pirate Metrics Framework
29 
30```
31Acquisition → Activation → Retention → Revenue → Referral
32 │ │ │ │ │
33 ▼ ▼ ▼ ▼ ▼
34 How do users Do they Do they Do they Do they
35 find you? get value come back? pay? tell others?
36 quickly?
37```
38 
39### Benchmarks
40 
41| Stage | Metric | Good | Great |
42|-------|--------|------|-------|
43| **Acquisition** | Visitor → Signup | 2-5% | 8%+ |
44| **Activation** | Signup → "Aha moment" | 20-40% | 50%+ |
45| **Retention** | Week 1 retention | 25-40% | 50%+ |
46| **Retention** | Month 1 retention | 10-25% | 30%+ |
47| **Revenue** | Free → Paid conversion | 2-5% | 8%+ |
48| **Revenue** | Net revenue retention | 100-110% | 120%+ |
49| **Referral** | Users who refer | 5-10% | 20%+ |
50 
51### Diagnosing the Funnel
52 
53**Rule:** Fix from right to left. Retention before Acquisition.
54 
55```
56If retention is broken → Fix the product before spending on acquisition
57If activation is low → Improve onboarding before optimizing landing pages
58If revenue is low → Fix pricing/packaging before adding features
59```
60 
61## Growth Loops
62 
63Growth loops > funnels. Funnels are linear; loops compound.
64 
65### Types of Growth Loops
66 
67**1. Viral Loop (User → Invites → New User)**
68```
69User gets value → Shares/invites → New user signs up → Gets value → Shares...
70```
71- Examples: Dropbox referral, Calendly scheduling links, Notion templates
72- Key metric: Viral coefficient (K) = invites sent × conversion rate
73- K > 1 = exponential growth, K > 0.5 = meaningful viral lift
74 
75**2. Content Loop (Content → SEO/Social → New User)**
76```
77User creates content → Content is indexed/shared → New visitor finds it → Signs up → Creates content...
78```
79- Examples: Pinterest pins, Quora answers, GitHub repos
80- Key metric: Organic traffic growth rate
81 
82**3. Paid Loop (Revenue → Reinvest → Acquisition)**
83```
84User pays → Revenue funds ads → Ads acquire new user → User pays...
85```
86- Examples: Any SaaS with payback period < 12 months
87- Key metric: LTV:CAC ratio (should be >3:1)
88 
89**4. Sales Loop (User → Expansion → More Revenue)**
90```
91User starts small → Gets value → Expands seats/usage → Becomes champion → Enterprise deal...
92```
93- Examples: Slack, Figma, Notion (bottoms-up SaaS)
94- Key metric: Net revenue retention
95 
96## Activation Checklist
97 
98Getting users to the "aha moment" fast:
99 
1001. **Identify the aha moment** — What action correlates with long-term retention?
1012. **Measure time-to-value** — How long from signup to aha moment?
1023. **Remove friction** — Every unnecessary step before aha moment kills conversion
1034. **Add motivation** — Progress bars, checklists, quick wins
1045. **Use empty states wisely** — Show value before the user does anything (sample data, templates)
105 
106| Aha Moment Examples | Product |
107|--------------------|---------|
108| Send first message | Slack |
109| Create first design | Figma |
110| Deploy first site | Vercel |
111| First search query result | Algolia |
112| See first dashboard | Analytics tools |
113 
114## Retention Framework
115 
116### Retention Curves
117 
118```
119Good retention: Curve flattens (plateau = retained cohort)
120Bad retention: Curve approaches zero (everyone churns eventually)
121```
122 
123**Analysis approach:**
1241. Plot weekly/monthly retention cohorts
1252. Find where the curve flattens (that's your "retained" base)
1263. Focus on getting more users past the flattening point
127 
128### Retention Tactics by Stage
129 
130| Stage | Window | Focus |
131|-------|--------|-------|
132| **Onboarding** | Day 0-7 | Get to aha moment, set up habits |
133| **Activation** | Week 1-4 | Build workflow dependency, integrate with tools |
134| **Engagement** | Month 1-3 | Deepen usage, introduce advanced features |
135| **Loyalty** | Month 3+ | Community, identity, switching costs |
136 
137### Reducing Churn
138 
1391. **Identify churn signals** — Declining usage, support tickets, missed payments
1402. **Segment churned users** — Why did they leave? (Survey, interview, data)
1413. **Intervene early** — Automated nudges when churn signals appear
1424. **Win-back campaigns** — Email lapsed users with what's new
1435. **Fix the product** — Most churn is product churn, not marketing churn
144 
145## Experimentation (ICE Framework)
146 
147Prioritize growth experiments using ICE:
148 
149| Factor | Score 1-10 | Definition |
150|--------|-----------|------------|
151| **Impact** | How much will this move the metric? | 1 = barely, 10 = 2x+ |
152| **Confidence** | How sure are we it will work? | 1 = wild guess, 10 = proven |
153| **Ease** | How easy to implement and measure? | 1 = months, 10 = hours |
154 
155**ICE Score = (Impact + Confidence + Ease) / 3**
156 
157### Experiment Template
158 
159```markdown
160## Experiment: {Name}
161 
162**Hypothesis:** If we {change}, then {metric} will {improve} because {reason}.
163 
164**Metric:** {Primary metric to measure}
165**ICE Score:** Impact: {}/10, Confidence: {}/10, Ease: {}/10 = **{avg}**
166 
167**Design:**
168- Control: {Current state}
169- Variant: {Proposed change}
170- Sample size needed: {estimate}
171- Duration: {days/weeks}
172 
173**Results:**
174- {Metric}: Control {X} vs. Variant {Y} ({+/-Z%})
175- Statistical significance: {Yes/No, p-value}
176- Decision: {Ship / Iterate / Kill}
177 
178**Learnings:** {What did we learn regardless of outcome?}
179```
180 
181## Channel Selection Matrix
182 
183| Channel | Time to Results | CAC Range | Best For |
184|---------|----------------|-----------|----------|
185| SEO/Content | 3-6 months | $50-200 | Sustained inbound, trust |
186| Paid Search | Immediate | $20-200 | High-intent buyers |
187| Social Ads | 1-2 weeks | $10-100 | Awareness, retargeting |
188| Email | 1-2 weeks | $1-10 | Nurture, retention |
189| Partnerships | 1-3 months | $10-50 | Co-marketing, trust transfer |
190| Community | 3-6 months | $5-20 | Loyalty, word-of-mouth |
191| Product-led | 1-3 months | $0-10 | Viral, bottoms-up |
192| Sales | Immediate | $200-2000 | Enterprise, high ACV |
193 
194**Rule of thumb:** Master 1-2 channels before adding more. Most startups spread too thin.
195 
196## Output Format
197 
198```markdown
199# Growth Strategy: {Product/Company}
200 
201## North Star Metric
202{Metric} — {Why this metric}
203 
204## Current Funnel Analysis
205 
206| Stage | Current | Target | Gap |
207|-------|---------|--------|-----|
208| Acquisition | {%} | {%} | {fix} |
209| Activation | {%} | {%} | {fix} |
210| Retention | {%} | {%} | {fix} |
211| Revenue | {%} | {%} | {fix} |
212| Referral | {%} | {%} | {fix} |
213 
214## Primary Growth Loop
215{Description of the main loop to invest in}
216 
217## Top 5 Growth Experiments (by ICE Score)
218 
219| # | Experiment | Impact | Confidence | Ease | ICE | Stage |
220|---|-----------|--------|------------|------|-----|-------|
221| 1 | {name} | {}/10 | {}/10 | {}/10 | {avg} | {AARRR stage} |
222 
223## 90-Day Roadmap
224 
225### Month 1: {Theme}
226{Specific actions}
227 
228### Month 2: {Theme}
229{Specific actions}
230 
231### Month 3: {Theme}
232{Specific actions}
233```
234 
235## Important Notes
236 
237- Growth strategy without retention is a leaky bucket. Always fix retention first.
238- Metrics without context are meaningless. Always compare to your own trend line AND industry benchmarks.
239- Most growth comes from compounding small wins, not silver bullets.
240- The best growth channel is the one your competitors haven't saturated yet.
241- Talk to churned users. They'll tell you more than any dashboard.
242 

Discussion

Alternatives