Design & media

Growth Loop Orchestrator

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Orchestrate growth loops across the skill portfolio by connecting usage, feedback, improvement, and adoption into self-reinforcing cycles. Use when designing...

What it does

The skill designs, implements, and optimizes growth loops across the skill portfolio. It connects usage, feedback, improvement, and adoption into self-reinforcing cycles that drive sustainable growth.

The skill document

Growth Loop Orchestrator

Overview

The growth-loop-orchestrator skill designs, implements, and optimizes growth loops across the skill portfolio. It connects usage, feedback, improvement, and adoption into self-reinforcing cycles that drive sustainable growth.

When to Use

  • Designing growth strategies for skills
  • Creating viral or referral loops
  • Optimizing skill adoption funnels
  • Building user engagement mechanisms
  • Planning portfolio growth initiatives
  • Analyzing growth metrics and loops
  • Troubleshooting growth stagnation
  • Designing network effects

Core Concepts

Growth Loop Types

TypeMechanismExample
viralUsers bring new usersShare results, invite others
contentUsage creates contentPublic outputs, templates
networkMore users = more valueCollaborative features
engagementUsage drives more usageHabits, streaks, rewards
feedbackUsage improves productLearning from actions

Loop Components

Every growth loop has:

  1. Input: Users, actions, or content entering the loop
  2. Action: What users do within the loop
  3. Output: Results that feed back into the loop
  4. Conversion: How outputs become new inputs
  5. Amplification: What makes the loop grow

Loop Metrics

MetricDescriptionTarget
cycle_timeTime for one loop iteration< 7 days
conversion_rate% that complete the loop> 20%
viral_coefficientNew users per existing user> 0.3
retention% who continue looping> 40%
amplificationGrowth rate per cycle> 10%

Input

Accepts:

  • Current growth metrics
  • User behavior data
  • Skill portfolio information
  • Target growth goals
  • Loop design parameters

Output

Produces:

  • Growth loop designs
  • Orchestration plans
  • Metric dashboards
  • Optimization recommendations
  • A/B test plans

Workflow

Designing a Growth Loop

  1. Identify Core Value

    • What value do users get?
    • What can they share or create?
    • What would others want?
  2. Map User Journey

    • Entry points
    • Key actions
    • Sharing moments
    • Conversion paths
  3. Design the Loop

    • Input source
    • Key action
    • Output creation
    • Distribution mechanism
    • Conversion back to input
  4. Add Amplification

    • Incentives
    • Friction reduction
    • Network effects
    • Social proof
  5. Measure and Optimize

    • Track loop metrics
    • Identify bottlenecks
    • Test improvements
    • Scale what works

Analyzing Existing Loops

  1. Map Current State

    • Identify existing loops
    • Measure current performance
    • Find broken connections
  2. Diagnose Issues

    • Where do users drop off?
    • What's blocking conversion?
    • Where is friction highest?
  3. Generate Solutions

    • Fix broken connections
    • Reduce friction
    • Add amplification
  4. Test and Validate

    • A/B test changes
    • Measure impact
    • Iterate quickly

Commands

Design Growth Loop

./scripts/design-loop.sh --type viral --skill  [--output loop-design.md]

Analyze Current Loops

./scripts/analyze-loops.sh [--skill ] [--portfolio]

Optimize Loop Performance

./scripts/optimize-loop.sh --loop-id  [--target metric] [--test]

Track Growth Metrics

./scripts/track-metrics.sh [--skill ] [--dashboard] [--period 30d]

Generate Growth Report

./scripts/generate-report.sh --type loops|funnel|portfolio [--output report.md]

Simulate Loop

./scripts/simulate-loop.sh --design  [--cycles 10] [--users 1000]

Output Format

Growth Loop Design

# Growth Loop Design: [Name]

## Loop Type: Viral

## Loop Diagram

[New User] → [Use Skill] → [Create Output] → [Share] → [New User Sees] → [Try Skill] → [New User]


## Components

### Input
- Source: User creates content
- Volume: ~50 outputs/day
- Quality: High (user-generated)

### Action
- What: User shares output
- Where: Social, email, link
- Friction: Medium (requires action)

### Output
- Type: Sharable result
- Format: Image, link, export
- Value: Demonstrates skill capability

### Conversion
- Mechanism: View → Try
- Rate: 15% (target: 25%)
- Time: Within 24 hours

### Amplification
- Social proof: "X people used this"
- Incentive: Free credits for sharing
- Network: Collaborative features

## Metrics

| Metric | Current | Target |
|--------|---------|--------|
| Cycle Time | 3 days | 1 day |
| Conversion Rate | 15% | 25% |
| Viral Coefficient | 0.2 | 0.5 |
| Retention | 35% | 50% |

## Optimization Plan

### Immediate (This Week)
1. Add one-click sharing
2. Create shareable templates
3. Add social proof badges

### Near-term (This Month)
1. Implement referral rewards
2. Add collaboration features
3. Create public gallery

### Long-term (This Quarter)
1. Build network effects
2. Add team features
3. Create marketplace

## Success Criteria
- Viral coefficient > 0.5
- Cycle time < 24 hours
- 1000 new users/month from loop

Loop Performance Dashboard

{
  "dashboard": "growth-loops",
  "period": "2024-03-01 to 2024-03-31",
  "loops": [
    {
      "id": "viral-share",
      "name": "Viral Sharing Loop",
      "type": "viral",
      "metrics": {
        "cycle_time_hours": 48,
        "conversion_rate": 0.18,
        "viral_coefficient": 0.25,
        "retention_7d": 0.42,
        "amplification": 1.15
      },
      "status": "active",
      "health": "good",
      "bottleneck": "share_rate",
      "recommendation": "Add one-click sharing buttons"
    },
    {
      "id": "content-seo",
      "name": "Content SEO Loop",
      "type": "content",
      "metrics": {
        "cycle_time_days": 30,
        "conversion_rate": 0.05,
        "content_velocity": 12,
        "organic_growth": 1.08
      },
      "status": "active",
      "health": "fair",
      "bottleneck": "content_quality",
      "recommendation": "Improve output shareability"
    }
  ],
  "portfolio_summary": {
    "total_loops": 4,
    "active_loops": 3,
    "avg_viral_coefficient": 0.22,
    "monthly_growth_rate": 0.15
  }
}

Loop Patterns

Viral Loop Pattern

Use → Create → Share → View → Signup → Use

Keys: Easy sharing, valuable output, low friction signup

Content Loop Pattern

Use → Publish → Index → Search → View → Use

Keys: SEO-friendly, public by default, discoverable

Network Loop Pattern

Join → Invite → Collaborate → Value ↑ → More Invite

Keys: Collaboration value, invite incentives, team features

Engagement Loop Pattern

Use → Reward → Habit → Daily Use → Reward

Keys: Meaningful rewards, streaks, progress

Feedback Loop Pattern

Use → Feedback → Improve → Better Experience → Use

Keys: Easy feedback, fast iteration, visible improvements

Quality Rules

  • Design loops that add value, not just growth
  • Measure full loop, not just parts
  • Optimize for sustainable growth
  • Test before scaling
  • Monitor for gaming/abuse
  • Balance growth with quality

Good Trigger Examples

  • "Design a growth loop for this skill"
  • "How can we make this skill viral?"
  • "Analyze our current growth loops"
  • "What's blocking our growth?"
  • "Design a referral program"
  • "How can we increase user engagement?"
  • "Track our growth metrics"
  • "Optimize our conversion funnel"
  • "Create a network effect"

Limitations

  • Requires usage data for meaningful analysis
  • Growth loops take time to validate
  • Network effects need critical mass
  • Viral loops are hard to predict
  • Metrics can be gamed
  • Growth without value is unsustainable
  • learning-evolution - For iterating on loops
  • insight-tracker - For capturing growth insights
  • decision-distiller - For growth strategy decisions
  • skill-market-analyzer - For market-based growth

Resources

scripts/

  • design-loop.sh - Design new growth loops
  • analyze-loops.sh - Analyze existing loops
  • optimize-loop.sh - Optimize loop performance
  • track-metrics.sh - Track growth metrics
  • simulate-loop.sh - Simulate loop behavior

references/

  • Growth loop patterns
  • Viral mechanics
  • Network effect theory
  • Engagement design principles

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