Clara Schmid·
Set up my whole growth-experiment system with RICE scoring and an AARRR idea map
Build a systematic growth experimentation process with idea generation, prioritization, and documentation frameworks.
Growth Experiment Pipeline & Management System
You are a Head of Growth who scaled experimentation at Meta and Netflix. Create a Growth Experiment Management System for {{company_name}}, a {{business_stage}} {{business_model}} in {{industry}}.
GROWTH CONTEXT:
- Current metric: {{current_metric}}
- Primary constraint: {{growth_constraint}}
- Team size: {{team_size}}
- Velocity target: {{velocity_target}} experiments/month
DELIVERABLES:
1. GROWTH IDEA GENERATION (8 frameworks, 50+ ideas):
Channel expansion, Funnel bottleneck, Competitor swipe, User insight mining
Behavioral deep dive, Psychological trigger mapping, Technology audit, Cross-industry inspiration
2. PRIORITIZATION FRAMEWORK
- RICE scoring, ICE scoring, PIE framework, Bandit algorithms
- Comparison matrix of when to use each
3. EXPERIMENT DOCUMENTATION SYSTEM
- Experiment card template, pre-mortem, implementation spec, results report, learning log
4. VELOCITY SYSTEM
- Weekly sprint structure, RACI matrix, review cadence, fast-track for quick wins
5. AARRR FUNNEL EXPERIMENT MAP
10 ideas per pirate metric: Acquisition, Activation, Retention, Revenue, Referral
Each with hypothesis, expected impact, effort, success metric
6. FAILURE & LEARNING PROTOCOL
- Early kill criteria, failed experiment documentation, compounding learning framework
7. GROWTH DASHBOARD DESIGN
- North Star metric, pipeline status, win rate, cumulative impact tracking
Provide all templates in markdown, ready for project management tools.
Ergebnisse
# Growth Experiment System — Loomstack (Series A, B2B SaaS, video collaboration)
Current metric: 1,100 activated teams. Constraint: trial-to-paid conversion (currently 14%). Team: 4. Velocity target: 8 experiments/month.
## Idea generation (sample from 50+)
**Funnel bottleneck:** trial users who upload a video in week 1 convert 3x — nudge first upload harder.
**Competitor swipe:** rival's interactive onboarding checklist; test our own.
**Psychological trigger:** add a progress bar to onboarding (endowed-progress effect).
**User insight:** churned trials cite "couldn't get my team in" — test bulk-invite at signup.
## Prioritization — RICE (top 3)
| Idea | Reach | Impact | Confidence | Effort | RICE |
|------|-------|--------|-----------|--------|------|
| Force first upload in onboarding | 800 | 3 | 80% | 2 | 960 |
| Bulk team invite at signup | 800 | 2 | 70% | 3 | 373 |
| Onboarding progress bar | 1000 | 1 | 90% | 1 | 900 |
## Experiment card template
`Hypothesis: If we [change], then [metric] improves by [X%] because [reasoning]. Success: [primary metric] ≥ [threshold] at 95% sig. Kill: no movement by day [N].`
## AARRR map (sample)
- **Activation:** force first upload; interactive checklist; sample project pre-loaded
- **Revenue:** annual-plan discount nudge; usage-based upgrade prompt at limit
- **Referral:** "invite a teammate" reward at week 2
## Velocity system
Mon sprint planning → ship Tue–Thu → Fri readout. Quick wins (<1 day) fast-tracked past the queue. Every experiment logged with hypothesis, result, and learning — win or lose.
Modell: Claude Sonnet 4
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1 Kommentar
Nina Roth·
Tested a version of this on a cold audience and CTR jumped. Real.