A/B Testing Product

Understands the concept of A/B testing and its role in product decisions. Knows the difference between A/B tests and multivariate tests. Can formulate a hypothesis for a simple experiment.

Understands A/B testing principles and their application for product decisions. Knows how to formulate a hypothesis for an experiment considering platform technical constraints. Can describe basic test success metrics.

Independently designs A/B tests: determines sample size, duration, and metrics. Works with tools (Optimizely, Google Optimize, VWO). Analyzes results considering statistical significance.

Independently designs A/B tests with sample size calculation and statistical significance. Considers technical dependencies when splitting traffic — caching, CDN, server-side rendering. Works with Optimizely, LaunchDarkly or similar tools.

Builds an experimentation culture within the product team. Designs complex multivariate tests. Defines the quarterly experiment strategy, prioritizing hypotheses by potential impact.

Builds quarterly experimentation strategy considering technical service architecture. Designs multivariate tests accounting for backend load and feature flag interactions. Prioritizes hypotheses using ICE/RICE frameworks.

Defines experimentation standards for the product division. Trains junior PMs on A/B testing methodology. Implements feature flagging and progressive rollout processes at the organizational level.

Defines A/B testing standards for the product division with CI/CD pipeline integration. Introduces automated rollback on metric degradation, trains teams on experimentation methodology considering infrastructure constraints.

Shapes the company-level strategy for data-driven decision making. Defines investments in experimentation infrastructure. Builds processes ensuring a continuous hypothesis-experiment-decision cycle.

Shapes enterprise culture of data-driven experimentation with architectural support. Defines platform requirements for experimentation infrastructure, integrates A/B testing into progressive delivery strategy.