Experiment Details
Fill in your business context to get more accurate hypotheses.
Have an idea but need it formatted? Enter it above. The AI will convert it into a scientific hypothesis: "If [Variable], then [Result], due to [Rationale]".
Scientific Experimentation Hub
Stop button-color bickering. Our framework uses the scientific method to turn uncertainty into validated learning for your business.
The Anatomy of a Winning Hypothesis
A strong hypothesis isn't just a sentence; it's a diagnostic tool. Successful CRO teams follow a strict formula to ensure every test provides value, regardless of the outcome:
"If [Action], then [Outcome], because [Rationale]."
- The Action:
The specific variable you are changing (e.g., removing the navigation menu).
- The Outcome:
The primary metric you expect to move. Keep it simple—don't chase noise.
- The Rationale:
The psychological "Why." Are you reducing cognitive load or adding social proof?
Avoiding False Positives
The biggest mistake in CRO is ending tests too early. A 20% spike in the first 48 hours is usually just regression to the mean.
Sample Size: If you only get 100 visitors, you can't test a 2% change. You need statistical power to filter out luck.
Significance: Aim for 95% significance (p-value < 0.05). If you stop at 80%, you're flipping a coin with your budget.
Data Triangulation
The best hypotheses are "triangulated" from three critical sources:
- Quantitative (GA4): Identify pages with high exit rates or broken journeys.
- Qualitative (Hotjar): Watch session recordings to see where users "rage click."
- AI Generation: Use this tool to turn those observations into scientific solutions.
How It Works
Define Context
Enter your URL, primary conversion goal, and target audience to orient the AI.
Propose a Change
Optional: Input a specific idea you have. Our AI will validate it and format it into a proper hypothesis.
Get Your Test Roadmap
Receive a prioritized, structured hypothesis ready for execution in your A/B testing tool.
CRO Experimentation FAQ
Common questions about building hypotheses and running valid A/B tests.
