NetEase LeiHuo UX Big Data Technology
Jun 21, 2024 · Game Development
Data-Driven Causal Analysis Methods for Game Updates When A/B Testing Is Not Feasible
When large‑scale A/B testing is impractical for high‑traffic, socially intensive games, developers can rely on methods such as Difference‑in‑Differences, hypothesis proportion analysis, and differential‑ratio comparison to infer the causal impact of content updates on key performance metrics.
Difference-in-DifferencesGame DevelopmentHypothesis Proportion
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