Decide whether to launch Group Story

Q: Decide whether to launch Group Story

This is a Analytics & Experimentation interview question from Snapchat for Data Scientist roles. View the full question and solution on PracHub.

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Question

A new Group Story feature may cannibalize regular stories but increase overall engagement. Propose the experiment and decision framework: 1) Identify success metrics and guardrails: feature adoption, overall session time, regular-story posts, creator activity, and crash rate. 2) Address network effects: choose between user-cluster randomization (e.g., communities) versus switchback at the feed level; justify to minimize interference. 3) Powering heavy-tailed session lengths: choose variance-stabilizing transforms, winsorization, or quantile treatment effects; justify. 4) Measure cannibalization vs net new creation; define incremental lift decomposition. 5) Duration and ramp strategy with pre-period CUPED. 6) Heterogeneity analysis by cohort (new vs existing creators) and by groups size; specify how results would change your launch/no-launch decision and what holdout you would keep for long-term effects.

Decide whether to launch Group Story

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