Browse and take tests to sharpen your skills
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.
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.
Advanced experimentation: interference, switchback/cluster designs, sequential testing, heterogeneous effects, and decision quality under uncertainty. Mix of single-answer and multiple-answer items.
Power, sample size, novelty effects, SRM, multiple metrics, and interpreting practical vs statistical significance. Mix of single-answer and multiple-answer items.
Basics of experiments: control vs treatment, primary metrics, random assignment, and common beginner mistakes. Mix of single-answer and multiple-answer items.
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