AI-Powered Experiments,Scientific Decision-Making.
Make A/B testing effortless with automated experiment designs, real-time monitoring, and intelligent analysis.
AI Prediction: Variant B has 87% probability to win, 2 days needed to reach significance level.
Fully Automated, AI-Driven Experiments
From hypothesis to conclusion, full-chain automation
Propose Hypothesis
Describe the idea you want to validate
Intelligent Design
Agent automatically designs the plan
Auto Execute
One-click launch traffic allocation
Real-time Monitoring
Receive real-time updates with anomaly alerts
Scientific Decision
Automatically determines significant priorities
AI-Powered Experiment Platform
Fully manage your experiment automatically, from hypothesis to conclusion.
Experiment Results Panel
Experiment Period: 2026-03-20 - 03-27 | Sample Size: 48,329
Agent Recommendation:Experiment Group B significantly outperforms Control Group in first purchase rate and ARPU. Recommend full rollout. Expected monthly revenue increase of $2.8M.
Intelligent Experiment Design
AI automatically generates experiment plans and sample size calculations
Real-time Monitoring & Alerts
Anomaly detection and automatic SRM alerts
Scientific Statistical Analysis
Bayesian statistics and CUPED variance reduction
Automated Decision-making
Significance judgment and strategy recommendations
Experiment Results Panel
Experiment Period: 2026-03-20 - 03-27 | Sample Size: 48,329
Agent Recommendation:Experiment Group B significantly outperforms Control Group in first purchase rate and ARPU. Recommend full rollout. Expected monthly revenue increase of $2.8M.
Typical Use Cases
Scientific validation covering the full product lifecycle
Payment Optimization
Verify payment-related product changes, scientifically boost revenue
- Gift pack pricing test
- First-pay onboarding optimization
- Payment point placement test
Product Feature Validation
Scientific validation of core features, user paths, and core experiences
- New feature launch validation
- Onboarding flow
- Core path optimization
UI/UX Optimization
User experience validation for interface, interaction, and copy
- Button position/color
- Modal timing
- Copy A/B testing
User Growth
Full-chain growth experiments to improve retention and conversion
- Viral campaign testing
- Push recall strategy
- Lifecycle engagement
Use AI to Drive Every Product Decision
Multi-variate Experiments
Supports A/B/n multi-group experiments and multi-factor experiments, simultaneously testing multiple variables' cross effects to find the optimal combination.
Intelligent Traffic Allocation
Stratified sampling based on user characteristics ensures inter-group comparability, supports gradual rollout, precisely controls experiment risk, and dynamically adjusts group ratios.
Advanced Statistical Methods
Built-in Bayesian statistics, sequential testing, CUPED variance reduction algorithms for faster reliable conclusions, reducing wait time by 80%.
Auto Anomaly Detection
Real-time monitoring of sample ratio mismatch (SRM) and data pollution, alerting at the first sign of data skew to ensure reliable conclusions.
Effect Attribution Analysis
Deep analysis of solution effects, automatically mining segment differences, revealing root causes behind growth to make success replicable.
Multi-Agent Collaboration
Experiment conclusions automatically trigger strategy adjustments, achieving seamless loop of 「Analysis → Experiment → Validation → Execution」, accelerating business growth exponentially.
Use AI to drive experiments and achieve results, scientifically
Let A/B Testing Agent be your experimentation expert
