Problem
Scenario
You work on a mobile game and are running experiments on a new feature, offer, or progression change. Early results can look promising, but mobile game behavior is noisy and treatment effects can be distorted by player interactions, short-term excitement, or execution issues in the rollout.
Question
What are the main pitfalls you watch for when running experiments on a mobile game? How would you design and analyze the test so you can trust the result before shipping?
What this tests
- Ability to identify common A/B testing pitfalls in mobile games
- Metric selection: primary metric plus guardrails
- Power analysis with explicit MDE
- Choice of randomization unit and awareness of interference
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