Analysis / Product analytics and activation
Read out a product activation experiment
Check randomized assignment and outcome coverage, calculate activation differences with uncertainty, and document limits to causal interpretation.
Product manager · Product analyst
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Your starting prompt.
Analyze [randomized activation experiment] using [assignment log] and [outcome events]. Check assignment balance, exposure and missing outcome coverage before calculating the prespecified activation rate difference and uncertainty interval. Use the agreed analysis window and report all assigned eligible users. Highlight contamination or peeking risks and summarize whether evidence supports the stated hypothesis; avoid causal conclusions if assignment or exposure integrity cannot be verified.
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Method and review
Keep the assumptions visible.
Agree on event definitions, identity rules and cohort windows. Check instrumentation coverage before comparing activation, retention or engagement.
For this task, check
Causal interpretation depends on verified random assignment and a valid prespecified analysis.
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- Bring exports you are allowed to upload, or data your Workspace can already query.
- Choose the reporting period and agree what each record represents.
Work with permitted files or queryable data. Verify the result against the original records.
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Make it your investigation.
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