AI Experiment Hypothesis Generator

Stop writing weak hypotheses.
Write ones that win.

ExperimentIQ generates structured experiment hypotheses in the if/then/because format — with audience segmentation, variant strategies, and confidence scoring built in.

Generate a hypothesisSee an example

What makes a good experiment hypothesis?

A strong A/B test hypothesis follows a clear structure: if we make a specific change, then a specific metric will move in a specific direction, because of a specific behavioral mechanism. Most teams skip the "because" — and that's why their experiments fail to generate learnings even when they win.

ExperimentIQ generates hypotheses that include all three components:

Example hypothesis

If we show users their potential annual savings during account activation, then completion rate will increase by 15-20%, because users who understand the concrete financial benefit have higher motivation to complete the setup process.

More than just a hypothesis

ExperimentIQ generates the full experiment strategy around your hypothesis.

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Structured Hypothesis
If/then/because format tied directly to your primary KPI and success metrics.
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3 Audience Segments
Conservative, Balanced, and Growth users — each with different motivations and behavioral signals.
🎯
Variant Strategies
4 distinct experiences targeting different segments — not variations of the same idea.
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Expected Lift Range
AI-estimated lift range and time to statistical significance based on your experiment type.
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Confidence Score
Confidence score with specific positive and negative drivers for this experiment.
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Risk Assessment
Statistical, UX, technical, measurement, and operational risks flagged before launch.

Common hypothesis mistakes ExperimentIQ prevents

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Vague hypotheses
ExperimentIQ forces a specific mechanism — not just 'changing the button will increase clicks' but why users will respond differently.
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One-size-fits-all variants
Each variant targets a different audience segment with a different behavioral strategy — not just different wording.
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Missing success metrics
Every hypothesis is tied to a primary KPI with guardrail metrics to monitor during the test.
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No risk assessment
ExperimentIQ flags statistical power issues, sample size requirements, and implementation risks before you start.

Generate your first hypothesis in 30 seconds

Describe your experiment idea in plain English. ExperimentIQ handles the rest.

Try ExperimentIQ free