Growth Loop Orchestrator

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name: growth-loop-orchestrator description: Orchestrate growth loops across the skill portfolio by connecting usage, feedback, improvement, and adoption into self-reinforcing cycles. Use when designing growth strategies, optimizing skill adoption, creating viral loops, or building sustainable growth mechanisms.

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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

| Type | Mechanism | Example | |------|-----------|---------| | viral | Users bring new users | Share results, invite others | | content | Usage creates content | Public outputs, templates | | network | More users = more value | Collaborative features | | engagement | Usage drives more usage | Habits, streaks, rewards | | feedback | Usage improves product | Learning 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

| Metric | Description | Target | |--------|-------------|--------| | cycle_time | Time for one loop iteration | < 7 days | | conversion_rate | % that complete the loop | > 20% | | viral_coefficient | New users per existing user | > 0.3 | | retention | % who continue looping | > 40% | | amplification | Growth 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

Related Skills

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