ShipSquad

Mission: Build an A/B Testing Engine

Data & Analytics3-5 weeks

Build a robust A/B testing platform with experiment management, traffic splitting, and statistical analysis.

Mission Overview

This mission deploys a specialized AI squad to handle implement a/b testing platform. Your squad of 3 specialized agents works in parallel, delivering results in 3-5 weeks.

A custom A/B testing platform gives you unlimited experiments, full data ownership, and deep integration with your product analytics, advantages that SaaS testing tools cannot match at scale. This mission deploys your AI squad to build a robust experimentation platform with an experiment configuration UI, server-side traffic splitting, statistical significance calculation using both frequentist and Bayesian methods, experiment lifecycle management, and integration with your analytics stack. Forge builds the traffic splitting engine with proper randomization and consistent user assignment, implements both chi-squared and Bayesian analysis methods, and creates an API for experiment assignment that integrates with your product code. ShipSquad experimentation platforms go beyond simple A/B tests by supporting multivariate testing, feature flags, and experiment guardrail metrics that automatically halt tests showing negative impact. We build the platform on top of a feature flag system so your team can use flags independently or as part of experiments. The mission delivers in 3-5 weeks with the experimentation infrastructure your product team needs to make every decision data-driven.

What You Get

  • Experiment configuration UI
  • Server-side traffic splitting
  • Statistical significance calculator
  • Bayesian and frequentist analysis
  • Experiment lifecycle management
  • Integration with analytics

Your AI Squad

Backend Developer
Frontend Developer
QA Engineer

Frequently Asked Questions

How is this different from tools like Optimizely?

A custom platform gives you unlimited experiments, full data ownership, and deep integration with your product analytics.

How do you calculate significance?

We implement both frequentist (chi-squared, t-test) and Bayesian methods so you can choose the approach that fits your decision style.

Can this handle feature flags too?

Yes, we build experiment management on top of a feature flag system so you can use flags independently or as part of experiments.

Further Reading

Start your implement a/b testing platform mission today

10 specialized AI agents. One mission. $99/mo + your Claude subscription.

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