A/B Testing Skills Tests

A/B Testing — Beginner

Basics of experiments: control vs treatment, primary metrics, random assignment, and common beginner mistakes. Mix of single-answer and multiple-answer items.

User Interviews + A/B Testing — Intermediate

Connect qualitative discovery to experiment design: from interview synthesis and testable hypotheses to metrics, audience fit, guardrails, and interpreting A/B results against user evidence.

A/B Testing + GA4 — Intermediate

Aligning experiment design with GA4: primary metrics and key events, variant tracking, consent gaps, session vs assignment splits, and attribution pitfalls when comparing test results to analytics reports.

A/B Testing — Intermediate

Power, sample size, novelty effects, SRM, multiple metrics, and interpreting practical vs statistical significance. Mix of single-answer and multiple-answer items.

A/B Testing — Advanced

Advanced experimentation: interference, switchback/cluster designs, sequential testing, heterogeneous effects, and decision quality under uncertainty. Mix of single-answer and multiple-answer items.