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
INLINECODE1	Users bring new users	Share results, invite others
INLINECODE2

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. 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
INLINECODE6	Time for one loop iteration	< 7 days
INLINECODE7

% 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. 1. Identify Core Value

- What value do users get? - What can they share or create? - What would others want?

1. 2. Map User Journey

- Entry points - Key actions - Sharing moments - Conversion paths

1. 3. Design the Loop

- Input source - Key action - Output creation - Distribution mechanism - Conversion back to input

1. 4. Add Amplification

- Incentives - Friction reduction - Network effects - Social proof

1. 5. Measure and Optimize

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

Analyzing Existing Loops

1. 1. Map Current State

- Identify existing loops - Measure current performance - Find broken connections

1. 2. Diagnose Issues

- Where do users drop off? - What's blocking conversion? - Where is friction highest?

1. 3. Generate Solutions

- Fix broken connections - Reduce friction - Add amplification

1. 4. Test and Validate

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

Commands

Design Growth Loop

CODEBLOCK0

Analyze Current Loops

CODEBLOCK1

Optimize Loop Performance

CODEBLOCK2

Track Growth Metrics

CODEBLOCK3

Generate Growth Report

CODEBLOCK4

Simulate Loop

CODEBLOCK5

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] CODEBLOCK7

Loop Performance Dashboard

CODEBLOCK8

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
• INLINECODE12 - For capturing growth insights
• INLINECODE13 - For growth strategy decisions
• INLINECODE14 - For market-based growth

Resources

scripts/

• - design-loop.sh - Design new growth loops
• INLINECODE16 - Analyze existing loops
• INLINECODE17 - Optimize loop performance
• INLINECODE18 - Track growth metrics
• INLINECODE19 - Simulate loop behavior

references/

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