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growth-loops

Skill2 starsChanged 10 days agoMITView on GitHub

Identify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral. Use when designing growth mechanisms, building product-led traction, or understanding how growth loops work.

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create specific loop implementation:

    line 71
  2. Distinctive:

    Start with the most natural loop for your product

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  3. Distinctive:

    Use $ARGUMENTS to pass:

    line 93
  4. Distinctive:

    Start with one loop and master it before adding complexity

    line 113

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Files
SKILL.md

Growth Loops

Overview

Identify and design growth loops (flywheels) that create sustainable traction. This skill evaluates five proven growth loop mechanisms to reduce reliance on paid acquisition and build product-led growth.

When to Use

  • Designing growth mechanisms for a product
  • Building sustainable viral or referral traction
  • Reducing reliance on paid acquisition
  • Analyzing competitor growth strategies
  • Optimizing product for product-led growth

The 5 Growth Loop Types

1. Viral Loop

Product content created by users gets shared on external platforms, bringing new users back to the product.

  • Mechanism: Users create content in-product → Share on social/external platforms → New users discover and signup
  • Example: Figma designs shared as links, Loom videos shared in emails
  • Strength: Exponential user acquisition if content is inherently shareable
  • Challenge: Requires highly shareable output and strong incentive to share

2. Usage Loop

Users create content or value within the product, then share it, which invites new users or drives re-engagement.

  • Mechanism: User creates → Shares creation → Others consume → Become engaged users
  • Example: Twitter threads, Medium articles, Notion templates shared publicly
  • Strength: Growth tied directly to product usage and network effects
  • Challenge: Requires content creation friction to be very low

3. Collaboration Loop

Users invite colleagues to co-create or collaborate within the product, expanding the user base within organizations.

  • Mechanism: User creates → Invites colleagues for collaboration → Colleagues discover product value
  • Example: Google Docs invitations, Figma team projects, Slack channels
  • Strength: Deep organizational penetration and high retention
  • Challenge: Works best for collaborative/team-based products

4. User-Generated Loop

Users discover new content or features through other users' creations, then create and share their own content.

  • Mechanism: User discovers content → Creates similar content → Shares creation → Others discover
  • Example: TikTok, Pinterest, YouTube trends driving creator participation
  • Strength: Creates content flywheel and network effects
  • Challenge: Requires critical mass of quality content to sustain

5. Referral Loop

Users invite other potential users in exchange for rewards, incentives, or social recognition.

  • Mechanism: User refers → Referred user joins → Referrer gets reward → Shares more referrals
  • Example: Dropbox referral bonus, Uber rider referrals, PayPal signup bonuses
  • Strength: Directly incentivizes acquisition; easy to measure ROI
  • Challenge: Requires valuable incentive without eroding unit economics

How It Works

Step 1: Define Product Value

Clarify the core value users experience:

  • Primary action users take in your product
  • Value created per user action
  • Network effects present (if any)
  • Friction points in the experience

Step 2: Evaluate Loop Fit

Assess which growth loops align with your product:

  • Product type (collaborative, content-based, utility, etc.)
  • Target user behavior and sharing habits
  • Network effects already present
  • Existing user base and engagement

Step 3: Design Loop Mechanics

Create specific loop implementation:

  • Trigger that initiates sharing or invitations
  • Incentive for participation (intrinsic or extrinsic)
  • Ease of sharing mechanism
  • Conversion rate from invite to activation
  • Frequency of loop repetition per user

Step 4: Calculate Loop Coefficient

Estimate growth velocity:

  • Invites/shares per user per cycle
  • Conversion rate of invites to new users
  • Net new users per cycle
  • Time per cycle iteration

Step 5: Build the Loop

Implement the highest-leverage loop first:

  • Start with the most natural loop for your product
  • Optimize messaging and friction
  • Measure loop metrics and conversion rates
  • Compound results over time

Input Format

Use $ARGUMENTS to pass:

  • Product description and primary user action
  • Target user demographics and behavior
  • Existing sharing/collaboration features
  • Current growth channels and metrics
  • Constraints or opportunities

Output

A growth loops analysis including:

  • Ranked evaluation of all 5 loop types for your product
  • Recommended primary growth loop with implementation plan
  • Secondary loops to layer over time
  • Key metrics and measurement framework
  • 30-60-90 day implementation roadmap
  • Potential loop coefficient and growth projections

Framework

Based on growth loops research by Ognjen Bošković. Focuses on compounding user acquisition through built-in, product-native sharing and collaboration mechanisms.

Tips

  • Start with one loop and master it before adding complexity
  • Viral loops compound fastest but take time to build
  • Collaboration loops create strongest retention and LTV
  • Measure loop health weekly during optimization phase
  • Combine loops for multiplicative effect once operating at scale

Further Reading

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