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05 · Marketing · Growth

Product Growth Loops

Evaluates product-led growth loops and outlines measurable experiments for sharing, collaboration and referrals.

growth-loopsreferralsproduct-led-growthexperimentsmarketing

Product Growth Loops Framework · Original SKILL.md

---
name: growth-loops
description: "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."
---
# 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

- [Product-Led Growth 101, Part 1/2](https://www.productcompass.pm/p/product-led-growth-101-12)
- [OpenAI’s Product Leader Shares 3-Layer Distribution Framework To Win Mind & Market Share in the AI World](https://www.productcompass.pm/p/distribution-framework-ai-products)
- [How to Design a Value Proposition Customers Can't Resist?](https://www.productcompass.pm/p/how-to-design-value-proposition-template)

When to use

Exploring acquisition loops after clarifying the product value and real user behavior.

What you get

Ranked loop hypotheses, measurement definitions and a staged experiment plan.

How it works

Compare loop fit, identify triggers and incentives, then estimate scenarios from supplied conversion data.

Requirements

Product behavior, existing sharing mechanisms and metrics if available. Further-reading links are optional; no runtime or mandatory reference files.

Starting prompt

Evaluate growth loops for [PRODUCT]. Separate examples from evidence. Model ranges from supplied data, state uncertainty and design experiments; do not send invitations or change the product.

Not for

Guaranteed exponential growth, invented conversion rates or automatic referral/invitation campaigns.

What M11 added

M11 added task routing, evidence requirements, explicit scope boundaries and curated pack/relationship placement around the unchanged original skill.

Original authorship remains with phuryn/pm-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 Pawel Huryn

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Related skills & prerequisites

north-star-metric · together — Define measurement before interpreting growth-loop results.

Source SHA-256: ce93f8c3f3a5db135aff02c5859bc153b9bd376b93f97a1c68e5ca498cf53557
Snapshot checked: 2026-09-28T10:51:36.060481+00:00

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