fw:grow

Develop growth experiments with testable hypotheses and executable experiment cards.

5|2|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/Untangling-Systems/flywheel --skill fw-grow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fw:grow
Source: https://github.com/Untangling-Systems/flywheel/tree/main/skills/fw-grow
Command: npx skills add https://github.com/Untangling-Systems/flywheel --skill fw-grow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The fw:grow skill helps solve the problem of formulating effective growth experiments, especially in the early stages of a business. It addresses the challenge of translating user behavior and positioning into actionable growth strategies.

Core Features & Use Cases

  • Behavior Analysis: Identify and name specific user behaviors for targeted experiments.
  • Barrier Diagnosis: Diagnose the underlying barriers to these behaviors with evidence-based insights.
  • Hypothesis Formation: Formulate clear, testable hypotheses that link interventions to expected changes in behavior.
  • Experiment Design: Outline detailed experiments with defined changes, controls, duration, and measurement.
  • Success Criteria: Establish specific criteria for what constitutes success, failure, and ambiguity.
  • Use Case: Suppose your product has a low conversion rate. fw:grow can help you pinpoint the specific behavior (e.g., the point where users leave the checkout), diagnose the barrier (e.g., lack of trust), create a hypothesis, and design an experiment to test the solution.

Quick Start

Use the fw:grow skill to start designing a growth experiment. For example, run fw:grow "A new user completes the onboarding within 5 days" to begin.

Frequently Asked Questions about fw:grow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design growth experiments based on user behavior?

Design growth experiments by identifying specific user behaviors, diagnosing barriers with evidence, forming testable hypotheses, and structuring executable experiment cards with defined controls and success criteria.

What is Matt Lerner's framework for growth experimentation?

Matt Lerrer's framework for growth experimentation is a behavior-first approach that translates positioning context into actionable strategies, requiring barrier diagnosis and hypothesis formation before outlining detailed experiment designs.

How do I create a testable hypothesis for a low conversion rate?

Create a testable hypothesis for a low conversion rate by pinpointing the specific behavior where users drop off, diagnosing the underlying barrier such as lack of trust, and linking an intervention to an expected behavioral change.

Can I use this growth experimentation framework for early-stage businesses?

Yes, you can use this growth experimentation framework for early-stage businesses to effectively translate user behavior and positioning context into actionable growth strategies and structured executable experiments.

Do I need a positioning canvas to run growth experiments?

Yes, you need a positioning canvas to provide required context and guidance for the behavior-first framework, ensuring the generated growth experiments and executable experiment cards align with your product strategy.

What's the best way to structure actionable growth experiments?

The best way to structure actionable growth experiments is to define specific changes, controls, duration, and measurement methods, while establishing clear criteria for what constitutes success, failure, and ambiguity in executable experiment cards.