growth-experiment

Growth Experiment - Systematic Growth Framework

Overview

Turns growth from gut feeling into a repeatable process. Run 2-3 experiments per week, learn fast, double down on what works.

---

1. When to Apply

Trigger	Behavior
Weekly growth meeting	Experiment pipeline review
"growth experiment"	New experiment design
Post-experiment	Result analysis and learnings

---

2. Growth Experiment Template

# Experiment: [Name]
**ID**: GX-[NNN]
**Date**: YYYY-MM-DD
**Owner**: @name
**Status**: Idea / Designed / Running / Completed

## Hypothesis
> If we [specific change],
> then [expected outcome],
> measured by [metric] changing from [baseline] to [target],
> within [timeframe].

## ICE Score
| Factor | Score (1-10) | Reasoning |
|--------|-------------|-----------|
| **Impact** | [N] | [How much will this move the needle?] |
| **Confidence** | [N] | [How sure are we this will work?] |
| **Ease** | [N] | [How quickly can we test this?] |
| **ICE Score** | **[N]** | Impact × Confidence × Ease |

## Design
- **What**: [Specific change or test]
- **Where**: [Channel, page, or touchpoint]
- **Who**: [Target segment]
- **Duration**: [How long to run]
- **Sample**: [Expected sample size]
- **Success Criteria**: [What "winning" looks like]

## Results (post-experiment)
| Metric | Baseline | Result | Change | Significant? |
|--------|----------|--------|--------|-------------|
| [Metric] | [N] | [N] | [+/-]% | Yes/No |

## Decision: 🟢 Scale / 🟡 Iterate / 🔴 Kill
**Reasoning**: [Why this decision]

## Learnings
- [What we learned about our users]
- [Implications for future experiments]

---

3. Experiment Idea Bank (by Channel)

Channel	Experiment Ideas
Onboarding	Simplify signup, personalized first experience, progress bar
Email	Subject line tests, send time optimization, drip sequence
Landing Page	Headline variants, CTA placement, social proof
Pricing	Free tier limits, annual discount, feature gating
Referral	Double-sided incentive, share mechanics, invite timing
Content	Topic clusters, format tests, publishing frequency
Product	Feature discovery, empty states, notification triggers