growth-loops
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill growth-loops
Agent 安装分布
Skill 文档
Growth Loops
Design and optimize self-reinforcing growth systems using Reforge methodologyâshift from linear funnels to compounding loops where outputs become inputs for sustainable, defensible growth.
When to Use This Skill
Use this skill when you need to:
- Analyze your current growth model and identify if you have a loop or funnel
- Design a growth loop for a new product or feature
- Diagnose why growth isn’t compounding despite acquisition efforts
- Identify the right loop type for your business model
- Optimize loop velocity to accelerate growth
- Build multiple loops that feed each other
- Present growth strategy to investors or leadership
- Audit retention’s impact on your growth system
This skill is particularly valuable for:
- Growth leaders and PMs designing growth strategy
- Founders building sustainable acquisition models
- Marketing leaders moving beyond paid-only growth
- Product teams embedding growth into the product
- Investors evaluating company growth potential
- Startups seeking capital-efficient growth
Methodology Foundation
Sources:
- Brian Balfour – “Growth Loops are the New Funnels” (Reforge)
- Reforge Growth Series curriculum
- Kevin Kwok – “The Arc of Collaboration”
Core Principle: Growth loops are closed systems where outputs from one cycle become inputs for the next, creating compounding effects over time. Unlike funnels, loops don’t require constant external input to maintain output.
“Loops are closed systems where the inputs through some process generates more of an output that can be reinvested in the input.” â Brian Balfour
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Strategic priorities |
| Synthesizes market data | Competitive positioning |
| Identifies opportunities | Resource allocation |
| Creates strategic options | Final strategy selection |
| Suggests implementation approaches | Execution decisions |
What This Skill Does
When invoked, I will guide you through growth loop design and optimization:
- Assess current state – Determine if you have loops or funnels
- Identify your core loop – Find the primary mechanism driving growth
- Map loop components – Input â Action â Output â Feedback
- Diagnose friction points – Where the loop breaks or slows
- Measure loop health – Key metrics that matter
- Optimize velocity – Accelerate cycle time and volume
- Design secondary loops – Build compound growth systems
- Create implementation plan – Prioritized improvements
How to Use
Provide information about your business and growth:
Example prompts:
- “Analyze our growth model and identify if we have true loops”
- “Design a viral loop for our collaboration tool”
- “Why isn’t our growth compounding despite high acquisition?”
- “What type of growth loop fits our SaaS business?”
- “Help me optimize our referral program as a loop”
- “Audit our growth strategy for defensibility”
Information that helps:
- Your product and value proposition
- Current acquisition channels
- Retention and engagement metrics
- Unit economics (CAC, LTV, payback)
- User actions that create value
- Any existing referral or viral mechanics
- Content or UGC already being created
Instructions
Understanding the Paradigm Shift
The Funnel Problem
Traditional growth thinking:
Awareness â Interest â Consideration â Purchase â (end)
â â â â
Drop Drop Drop Drop
Why funnels plateau:
- Require constant new input to maintain output
- No compounding effect
- Channels commoditize (CAC rises over time)
- Easily replicated by competitors
The Loop Solution
Growth loop thinking:
âââââââââââââââââââââââââââââââââââââââ
â â
â¼ â
New User â Action â Output â Distribution ââ
â
âââ (Attracts more new users)
Why loops compound:
- Output becomes input for next cycle
- Growth accelerates over time
- Creates defensible competitive advantage
- Can decrease CAC as loop strengthens
The Four Types of Growth Loops
Type 1: Viral/Referral Loops
Mechanism: Users invite other users who invite more users.
New User â Experiences Value â Invites Others â New Users Sign Up â Repeat
Best for:
- Collaboration tools (Slack, Zoom, Notion)
- Social products (Facebook, TikTok)
- Products with network effects
- Consumer apps with sharing incentive
Key metrics:
| Metric | Definition | Target |
|---|---|---|
| Viral coefficient (K) | Invites à Conversion rate | >1 for viral growth |
| Cycle time | Days per loop iteration | Shorter = faster |
| Invitation rate | % of users who invite | Higher = more fuel |
Optimization levers:
- Reduce friction in invitation process
- Increase invitation incentive (both sides)
- Shorten time to value (faster “aha” moment)
- Improve targeting (invite right people)
- Make sharing natural to product use
Type 2: User-Generated Content (UGC) Loops
Mechanism: Users create content that attracts new users who create more content.
User Creates Content â Content Indexed/Distributed â New Users Discover â Sign Up â Create Content â Repeat
Best for:
- Professional networks (LinkedIn)
- Review platforms (Yelp, G2)
- Community platforms (Reddit, Pinterest)
- Marketplaces (Airbnb, Etsy)
Key metrics:
| Metric | Definition | Target |
|---|---|---|
| Content creation rate | % of users creating | Higher = more SEO fuel |
| Content discoverability | Organic traffic per piece | Optimize for search |
| Content-to-signup CVR | Visitors â signups | Higher = tighter loop |
| Creator activation | New users â creators | Faster = more content |
Optimization levers:
- Lower content creation friction
- Improve content templates/prompts
- Optimize content for SEO/feeds
- Incentivize quality content
- Distribute across more channels
Type 3: Paid Marketing Loops
Mechanism: Revenue funds acquisition of customers who generate more revenue.
Ad Spend â Customer Acquisition â Revenue Generation â Reinvest in Ads â Repeat
Best for:
- E-commerce with strong margins
- SaaS with fast payback periods
- Products with high LTV
- Transactional businesses
Key metrics:
| Metric | Definition | Target |
|---|---|---|
| LTV:CAC ratio | Customer lifetime value ÷ acquisition cost | >3:1 ideal |
| Payback period | Months to recover CAC | <12 months |
| Marginal efficiency | Additional spend efficiency | Stable or improving |
Requirements for loop to work:
- LTV > CAC (profit to reinvest)
- Sustainable payback period
- Capital available for investment
- Marginal efficiency doesn’t collapse
Optimization levers:
- Increase LTV (retention, expansion revenue)
- Decrease CAC (creative, targeting, conversion)
- Shorten payback (pricing, onboarding)
- Improve capital efficiency
Type 4: Sales Loops
Mechanism: Customer success creates reference customers that help close more deals.
Close Deal â Customer Success â Case Study/Reference â Credibility â Close More Deals â Repeat
Best for:
- Enterprise SaaS
- High-ticket B2B services
- Consultancies and agencies
- Complex sale products
Key metrics:
| Metric | Definition | Target |
|---|---|---|
| Time to success | Days from close to ROI | Shorter = faster reference |
| Reference rate | % of customers becoming references | Higher = more ammo |
| Win rate with reference | Close rate with case study | Track improvement |
| Deal cycle with reference | Sales cycle length | Shorter = acceleration |
Optimization levers:
- Accelerate customer onboarding
- Define and measure success clearly
- Systematize case study production
- Train sales on storytelling
- Segment by successful customer profile
Why Retention Powers Every Loop
“Retention is the foundation of growth.” â Brian Balfour
Without retention, loops break:
| Loop Type | Retention Impact |
|---|---|
| Viral | Churned users stop inviting |
| UGC | Churned users stop creating content |
| Paid | Poor retention = poor LTV = negative unit economics |
| Sales | Churned customers can’t be references |
Retention amplifies loops:
- Retained users make more invitations over time
- Retained users create more content
- Retained users have higher LTV
- Retained customers become better references
Before optimizing any loop, ensure:
- Week 1 retention > 40%
- Month 1 retention > 25%
- Core action repeated regularly
- Users reaching “aha” moment
Designing Your Growth Loop
Step 1: Identify Your Value Action
What single action, when taken by users, creates the most value?
| Product Type | Value Action |
|---|---|
| Collaboration tool | Complete task with teammate |
| Social network | Post or connect |
| Marketplace | Complete transaction |
| SaaS tool | Use core feature successfully |
| Content platform | Create or consume content |
Step 2: Find the Byproduct
What does the value action naturally produce that could attract new users?
| Value Action | Byproduct |
|---|---|
| Send meeting invite | Recipient sees product |
| Create profile | Profile ranks in search |
| Leave review | Review attracts searchers |
| Share file | Recipient needs account |
| Achieve success | Story worth telling |
Step 3: Map the Complete Loop
INPUT: What triggers the loop?
âââ ACTION: What does the user do?
âââ OUTPUT: What does the action create?
âââ DISTRIBUTION: How do new users discover?
âââ CONVERSION: How do they become input?
âââ [Back to INPUT]
Step 4: Measure Each Step
For each step, define:
- Volume: How many users/actions?
- Conversion: What % proceed to next step?
- Velocity: How quickly does it happen?
Step 5: Find the Constraint
The slowest or leakiest step determines loop speed.
Questions to ask:
- Where do we lose the most volume?
- Where does the loop take the longest?
- What step has the lowest conversion?
- What assumption are we making that might be wrong?
Loop Optimization Framework
The Loop Velocity Equation
Loop Velocity = Volume à Efficiency à Frequency
- Volume: How many users enter the loop
- Efficiency: What % complete the full loop
- Frequency: How often the loop cycles
To accelerate growth, improve any factor:
| Factor | Optimization Approach |
|---|---|
| Volume | Expand top of loop (more channels, wider targeting) |
| Efficiency | Fix leaky steps (reduce friction, improve conversion) |
| Frequency | Shorten cycle time (faster activation, quicker output) |
Prioritization Matrix
| Improvement | Effort | Impact | Priority |
|---|---|---|---|
| Fix biggest leak | Medium | High | 1 |
| Shorten cycle time | Low | High | 2 |
| Add volume source | High | Medium | 3 |
| New loop type | Very High | Very High | 4 |
Building Multiple Loops
Best-in-class companies run multiple interconnected loops:
LinkedIn Example:
-
Profile SEO Loop (UGC)
- Create profile â Rank in Google â Sign up â Create profile
-
Connection Viral Loop
- Connect â Invitations â Sign up â Connect
-
Content Feed Loop (UGC)
- Post â Feed distribution â Engagement â More posting
-
Job Posting Loop (Paid/UGC hybrid)
- Post job â Candidates apply â Value â More jobs posted
Key insight: Loops can feed each other:
- Profile loop brings users who create content
- Content loop increases engagement for profile loop
- Job loop monetizes while reinforcing value
Growth Loop Audit
Use this framework to assess your current state:
Audit Questions
-
What is our primary growth loop today?
- Can you draw it as a closed loop?
- Or is it actually a funnel (linear, no feedback)?
-
What is our loop velocity?
- How long does one cycle take?
- How many cycles per month?
-
What is the primary friction point?
- Where does the loop break most often?
- What step has lowest conversion?
-
What is our retention rate?
- Is retention strong enough to power the loop?
- Where do we lose users before they can fuel the loop?
-
Are we measuring loop health?
- Do we track cycle time?
- Do we track loop-specific metrics vs. vanity metrics?
-
Could we add a secondary loop?
- What other byproducts could attract users?
- What adjacent loop types fit our model?
-
What would 10x our loop velocity?
- If we had to accelerate dramatically, what would we change?
- What bold bets would we make?
Examples
Example 1: Designing a Viral Loop for a Project Management Tool
Context: B2B project management SaaS with strong retention but growth dependent on paid ads. CAC rising, need sustainable growth channel.
Analysis:
Current State (Funnel):
Google Ads â Landing Page â Trial â Paid
â â â
70% 65% 75%
drop drop drop
- No loop: requires constant ad spend
- CAC: $180, rising 15% annually
- LTV: $540 (3-year average)
- Loop opportunity: product requires team collaboration
Designed Loop (Viral):
New User Signs Up
â
â¼
Creates Project + Invites Team (natural to use product)
â
â¼
Teammates Receive Invite (see product value in email)
â
â¼
25% Sign Up (free tier, no friction)
â
â¼
New Users Create Projects + Invite Their Teams
â
ââââââââââââââ⺠[Loop repeats]
Loop Metrics:
| Metric | Current | Target |
|---|---|---|
| Invitation rate | 15% | 40% |
| Invite volume per user | 2 | 5 |
| Invite conversion | 12% | 25% |
| Viral coefficient (K) | 0.04 | 0.5 |
| Cycle time | 14 days | 5 days |
Optimization Plan:
-
Increase invitation rate (15% â 40%)
- Move “invite team” to onboarding flow (required step)
- Add empty state prompts (“This project is lonely…”)
- Create @mention that triggers invitation
-
Increase invite volume (2 â 5)
- Import from Slack/email contacts
- Suggest teammates based on company domain
- “Invite all” button for groups
-
Improve invite conversion (12% â 25%)
- Personalize invite email (project name, inviter name)
- Show preview of project activity in email
- One-click accept (no form to start)
-
Shorten cycle time (14 days â 5 days)
- Trigger invite prompt after first milestone, not after 7 days
- Daily digest showing team activity (creates FOMO)
Projected Impact:
- K-factor improvement: 0.04 â 0.5
- Reduces dependence on paid by 40%
- CAC drops as organic grows
Example 2: Building a UGC Loop for a B2B Review Platform
Context: Software review site competing with G2 and Capterra. Need more reviews to rank in search, need traffic to get more reviewers. Classic chicken-and-egg.
Designed Loop:
User Writes Review
â
â¼
Review Published (optimized for "[Software] review" keywords)
â
â¼
Review Ranks in Google
â
â¼
Searcher Finds Review, Visits Site
â
â¼
20% Sign Up to Write Their Own Review
â
â¼
New User Writes Review
â
ââââââââââââââ⺠[Loop repeats]
Loop Metrics:
| Metric | Baseline | Target |
|---|---|---|
| Monthly reviews created | 500 | 2,000 |
| Reviews ranking page 1 | 5% | 25% |
| Organic traffic | 10K | 100K |
| Traffic â signup CVR | 2% | 5% |
| Signup â review CVR | 10% | 30% |
Optimization Plan:
-
Increase review creation (500 â 2,000)
- Review incentive program ($10 gift card)
- “Review swap” with software vendors
- LinkedIn outreach to verified users
- Post-NPS trigger: “Score 9-10? Write a public review”
-
Improve SEO ranking (5% â 25%)
- Structured data for reviews (schema markup)
- Internal linking strategy (category â product â reviews)
- Review template that naturally includes keywords
- Freshness: encourage review updates
-
Increase traffic â signup (2% â 5%)
- “Write your review” CTA on every review page
- Show “reviewer badges” (status incentive)
- Personalized prompt: “You use [Software]? Share your experience”
-
Increase signup â review (10% â 30%)
- Pre-fill review with software they indicated using
- Review wizard (guided questions, not blank page)
- Progress bar showing completion
- Instant badge/reward upon submission
Secondary Loop (Viral):
User Writes Review â Shares on LinkedIn â Colleagues See â Sign Up to Write
- Encourage sharing with “Add to LinkedIn profile” feature
- Badge image optimized for social sharing
Compound Effect:
- Year 1: 2,000 reviews, 50K organic traffic
- Year 2: 8,000 reviews, 200K organic traffic
- Year 3: 30,000 reviews, 1M organic traffic
- Each review compounds SEO value indefinitely
Checklists & Templates
Growth Loop Design Canvas
GROWTH LOOP DESIGN CANVAS
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PRODUCT: ____________________
LOOP TYPE: [ ] Viral [ ] UGC [ ] Paid [ ] Sales
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1. VALUE ACTION
What action creates value for users?
____________________________________________________
2. BYPRODUCT
What does this action produce that could attract new users?
____________________________________________________
3. DISTRIBUTION
How will new users discover this byproduct?
[ ] Search/SEO
[ ] Social sharing
[ ] Direct invitation
[ ] Paid amplification
[ ] Word of mouth
4. CONVERSION
How do discoverers become new users?
____________________________________________________
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LOOP DIAGRAM
ââââââââââââââââââââââââââââââââââââââââââââ
â â
â¼ â
[INPUT] â
â â
âââ⺠[ACTION] ââ⺠[OUTPUT] ââ⺠[DISTRIBUTION]
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KEY METRICS
| Step | Metric | Current | Target |
|------|--------|---------|--------|
| Input | ______________ | _____ | _____ |
| Action | ______________ | _____ | _____ |
| Output | ______________ | _____ | _____ |
| Distribution | ______________ | _____ | _____ |
| Conversion | ______________ | _____ | _____ |
Cycle time: _____ days
Viral coefficient (if applicable): _____
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CONSTRAINT ANALYSIS
What's the biggest bottleneck in this loop?
____________________________________________________
Top 3 improvements to accelerate the loop:
1. ____________________________________________________
2. ____________________________________________________
3. ____________________________________________________
Loop Health Dashboard Template
WEEKLY LOOP HEALTH METRICS
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Loop: [Name] Week of: [Date]
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VELOCITY METRICS
This Week Last Week Trend
Loop cycles completed: _________ _________ â/â/â
Average cycle time: _________ _________ â/â/â
Volume entering loop: _________ _________ â/â/â
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STEP CONVERSION RATES
This Week Target Status
Step 1 (InputâAction): _________% _________% ð¢/ð¡/ð´
Step 2 (ActionâOutput): _________% _________% ð¢/ð¡/ð´
Step 3 (OutputâDist): _________% _________% ð¢/ð¡/ð´
Step 4 (DistâConv): _________% _________% ð¢/ð¡/ð´
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RETENTION (Loop Foundation)
This Week Target Status
Week 1 retention: _________% 40%+ ð¢/ð¡/ð´
Month 1 retention: _________% 25%+ ð¢/ð¡/ð´
Core action frequency: _________ _________ ð¢/ð¡/ð´
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CONSTRAINT THIS WEEK
Biggest bottleneck: _________________________________
Action being taken: _________________________________
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LOOP COMPOUNDING
Organic/loop-driven growth %: _________%
Paid-driven growth %: _________%
Target organic %: _________%
Loop Type Selection Guide
WHICH LOOP TYPE FITS YOUR BUSINESS?
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Answer these questions to identify your primary loop:
1. DOES YOUR PRODUCT REQUIRE MULTIPLE USERS TO FUNCTION?
[ ] Yes â Strong viral loop potential
[ ] No â Consider UGC or Paid loops
2. DO USERS CREATE CONTENT AS PART OF USING YOUR PRODUCT?
[ ] Yes â Strong UGC loop potential
[ ] No â Consider Viral or Paid loops
3. WHAT ARE YOUR UNIT ECONOMICS?
[ ] LTV:CAC > 5:1, payback < 6 months â Paid loop viable
[ ] LTV:CAC 3-5:1, payback 6-12 months â Paid loop possible
[ ] LTV:CAC < 3:1, payback > 12 months â Need organic loop first
4. IS YOUR SALE COMPLEX/HIGH-TOUCH?
[ ] Yes, enterprise/high-ticket â Sales loop
[ ] No, self-serve â Viral, UGC, or Paid loop
5. DO CUSTOMERS GET MEASURABLE RESULTS?
[ ] Yes, with clear metrics â Sales loop reinforcement
[ ] No, value is qualitative â Harder sales loop, try others
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RECOMMENDED PRIMARY LOOP: ____________________
RECOMMENDED SECONDARY LOOP: ____________________
Skill Boundaries
What This Skill Does Well
- Structuring strategic analysis
- Identifying market opportunities
- Creating strategic frameworks
- Synthesizing competitive data
What This Skill Cannot Do
- Replace market research
- Guarantee strategic success
- Know proprietary competitor info
- Make executive decisions
References
Primary Sources:
- Balfour, Brian. “Growth Loops are the New Funnels.” Reforge.
- Reforge Growth Series curriculum.
- Kwok, Kevin. “The Arc of Collaboration.”
Additional Resources:
- Ellis, Sean. “Hacking Growth.”
- Balfour, Brian. “Why Product-Market Fit Isn’t Enough.” Reforge.
- Reforge. “Retention Playbook.”
- Chen, Andrew. “The Cold Start Problem.”
Related Skills
- product-led-growth – Self-serve growth strategies
- funnel-optimization – Improving linear conversion
- viral-mechanics – Designing viral features
- retention-strategy – Foundation for all loops
- unit-economics – CAC, LTV, payback analysis
- content-strategy – Powering UGC loops
- referral-programs – Structured viral mechanics