Analysis / Growth experimentation and pricing
Audit experiment contamination and exclusions
Audit cross-group exposures and exclusions using original assignments, shared accounts and stated eligibility rules before interpreting results.
Growth leader · Revenue operations analyst
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Your starting prompt.
Audit [experiment] for accounts exposed to multiple treatments, shared identities and exclusions that differ by group. Compare the observed records with the assignment unit and eligibility rules stated before launch. Quantify affected observations without silently removing them, and show sensitivity under explicitly justified alternatives. Produce an integrity report and reviewer questions explaining which conclusions the design can still support.
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Method and review
Keep the assumptions visible.
State the hypothesis, baseline, unit economics and decision rule. Compare total contribution and uncertainty, and separate modeled scenarios from measured experimental results.
For this task, check
Removing contaminated observations after seeing outcomes can bias the estimate; retain the assignment-based comparison and explain sensitivity choices.
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Before you begin
- Permitted uploaded records or queryable Data with the specified fields
- Agreed outcome definitions and an accountable business reviewer
Work with permitted files or queryable data. Verify the result against the original records.
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