# Growth Experimentation Advisor

> Design a structured growth experimentation program — identifying levers, generating hypotheses, designing cheap tests, and building a culture of data-driven experimentation.

- Skill: `nandanosql/growth-experimentation-advisor` (Agent Skill)
- Install (CLI): `npx skillmds@latest add nandanosql/growth-experimentation-advisor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nandanosql/growth-experimentation-advisor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: nandanosql (https://skillmd.com/u/nandanosql)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/nandanosql/growth-experimentation-advisor

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## Purpose

Design a structured growth experimentation program — identifying **high-leverage growth levers, generating hypotheses, designing cheap tests**, and building a backlog of experiments to run systematically.

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## Application

### Turn 1: Growth Levers

**Agent asks:** "Where in your AARRR funnel is the biggest opportunity?"

Agent reviews:
- Current metrics per stage (acquisition, activation, retention, revenue, referral)
- Biggest drop-off points
- Most impactful lever (usually activation or retention)

### Turn 2: Hypothesis Generation

**Agent asks:** "For the [identified lever], let's brainstorm 5+ experiment ideas."

For each idea:
```markdown
**Hypothesis:** If we [change], then [metric] will [improve by X%]
**because** [mechanism/evidence]
**Effort:** [S/M/L]
**Expected impact:** [H/M/L]
```

### Turn 3: Prioritize Experiments

```markdown
## Experiment Backlog (Prioritized)

| # | Hypothesis | Lever | Impact | Effort | ICE Score | Status |
|---|-----------|-------|--------|--------|-----------|--------|
| 1 | [Hyp] | [Lever] | [H/M/L] | [S/M/L] | [#] | [Queue/Running/Done] |
| 2 | [Hyp] | [Lever] | [H/M/L] | [S/M/L] | [#] | [Status] |
```

### Turn 4: Experiment Design (Top 1-2)

Agent generates detailed experiment designs using `skills/growth/ab-test-design/SKILL.md`

### Output

```markdown
# Growth Experimentation Roadmap

## Current Quarter Focus
**Primary lever:** [Activation/Retention/etc.]
**Target metric:** [X → Y in Z weeks]
**Experiment velocity:** [# experiments per sprint]

## Experiment Pipeline
[Prioritized backlog from Turn 3]

## Cadence
- Weekly: Review running experiments
- Biweekly: Launch new experiments
- Monthly: Update growth model with learnings
```

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## References

### Related Skills
- `skills/growth/ab-test-design/SKILL.md` — Design individual experiments
- `skills/growth/growth-model/SKILL.md` — Growth model drives lever selection
- `skills/growth/activation-optimization/SKILL.md` — Activation experiments

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**Skill type:** Interactive
**Domain:** Growth & Optimization