Features
Everything you need for systematic growth
A free experiment tracking platform with 200+ proven playbooks. AI helps you pick the right test and understand your results.
Both-sided referral reward
RunningHypothesis
If we give both the referrer and the invitee one free month, then referred signups will reach 10% of new users because the incentive is symmetric.
200+ Proven Playbooks
Stop searching the internet for growth ideas. Browse a curated library of experiments that actually worked for real companies.
- Step-by-step guides you can follow today
- Filterable by goal, channel, and difficulty
- Real company case studies with results
Playbook library
200+ playbooksAdd social proof to pricing
Simplify onboarding to 3 steps
Weekly digest email for retention
Referral program with both-sided reward
Track Every Experiment
From hypothesis to results, keep every experiment organized in one place. Never lose track of what you tested or what you learned.
- Structured hypothesis-to-results workflow
- ICE scoring to prioritize what matters
- Timeline tracking so nothing gets forgotten
Both-sided referral reward
RunningHypothesis
If we give both the referrer and the invitee one free month, then referred signups will reach 10% of new users because the incentive is symmetric.
AI That Picks the Right Test
Tell the AI what you're trying to achieve. It recommends experiments from the playbook library based on your product, stage, and past results.
- Personalized to your product and goals
- Natural language — just describe your problem
- Suggests based on your past experiment results
My landing page gets ~2,000 visits a month but only 1.9% sign up. What should I test?
1.9% is below the ~3% SaaS median. Three high-impact experiments for your traffic level:
- Rewrite the hero around the outcome - lead with the result, not the feature
- Add social proof near the CTA - 2-3 specific customer results
- Cut the signup form to email only - every field costs conversions
Want me to set one of these up as an experiment?
Understand Your Results
Paste your experiment data and get a plain-English interpretation. Know what worked, what didn't, and what to try next.
- Plain-English analysis of your data
- Next step recommendations you can act on
- Learning capture so insights compound over time
Result: Positive
D30 retention improved from 18% to 26% (+44%). The weekly digest email re-engaged users who hadn't opened the app in 7+ days.
Recommended next steps:
- Test send time - Tuesday morning vs Saturday
- Add a one-click deep link into the user's last project
- Run a win-back variant for 30-day-inactive users
Visual Experiment Pipeline
See your entire experiment backlog at a glance. Drag and drop experiments through stages and spot bottlenecks before they slow you down.
- Drag and drop between stages
- See bottlenecks at a glance
- Prioritize by ICE score automatically
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Ready to Stop Guessing?
Join founders who run growth experiments with confidence. Start free, no credit card required.