How to Scale Experimentation with AI
A compounding system where every test makes the next one smarter — with AI handling hypothesis generation, prioritisation, and result evaluation automatically.
Why experimentation programmes don't compound
Three bottlenecks kill almost every programme — and every sprint starts from scratch.
Hypothesis generation takes weeks
Manual research, fragmented notes, no system that turns insight into testable bets.
Prioritisation is subjective
ICE scoring based on gut feel, not the data your business actually generates.
Results don't feed back
Learnings documented but never automatically inform the next round of tests.
The result: you're running experiments, but the programme isn't building on itself.
Five AI-powered workflows that fix this
A connected stack — Airtable, Claude, Amplitude — that turns experimentation into a compounding engine.
The Prioritiser
Scores every hypothesis automatically using Impact, Confidence, and Ease — calibrated to your business model. No more gut feel.
The Hypothesis Generator
Every experiment result generates new hypotheses automatically. Winners get iterated. Patterns surface. The system learns.
The Result Evaluator
Claude connects to your analytics, pulls results, and writes structured documentation. 2–3 hours per experiment → 15 minutes.
Meeting Sync Capture
Client input from weekly syncs captured via Fireflies → Claude extracts decisions and scores → added to Airtable automatically.
Variant Design (optional)
AI-assisted variant creation alongside Figma. Used selectively where it accelerates without compromising craft.
What changes when the system runs
Hypothesis generation speed vs. manual
Per result evaluation, down from 2–3 hours
Full experiment history: hypothesis → design → result → learning
Less manual work each cycle as the system matures
Built and proven on a live client.
You'll get the most out of this
- Head of Growth or VP Product at a D2C, SaaS, or Marketplace company
- 20,000+ monthly sessions with solid event tracking in place
- Running experiments but the programme feels slow, manual, or not compounding
- Want to scale without scaling headcount
Want to see the system live?
Check out Zain for a free 45-minute session where he demos all 5 workflows live, in real Airtable + Claude + Amplitude environments.
