Product

A/B Test Generator

From findings to test-ready hypotheses

Transform audit findings into structured IF/THEN/BECAUSE hypotheses with complete A/B test specifications. Get targeting rules, implementation details, and expected lift ranges — ready for your testing platform.

IF / THEN / BECAUSE

Structured Hypothesis Framework

Every test hypothesis follows a clear, actionable format that connects the change to expected outcomes with supporting evidence.

IF

We add trust badges (SSL, money-back guarantee, payment icons) above the fold on the checkout page

THEN

We will see a 5-12% increase in checkout completion rate

BECAUSE

Users currently hesitate at checkout due to lack of visible trust signals, as evidenced by high exit rates on the payment step (GA4) and rage clicks on payment fields (Clarity)

What's Included

Complete Test Specifications

Everything your team needs to implement and run successful A/B tests.

Structured Hypotheses

Every finding becomes a clear IF/THEN/BECAUSE hypothesis that explains the problem, solution, and expected outcome.

Targeting Rules

Complete audience targeting specifications including device types, traffic sources, and user segments.

Implementation Details

Technical specifications your dev team can implement immediately, with estimated development time.

Expected Lift Ranges

Data-backed projections for expected conversion lift based on industry benchmarks and issue severity.

Export Options

Flexible Output Formats

Get your test specifications in the format that works best for your workflow.

CSV Export

Import directly into your testing platform or spreadsheet tools

PDF Report

Client-ready documentation with full hypothesis details

Platform Ready

Compatible with VWO, Optimizely, Convert, and custom setups

Export Preview

Stop writing test specs from scratch

Let AI generate complete, actionable A/B test specifications from your audit findings.