OEC — Overall Evaluation Criterion — what is it?
hardAnswer
- A single scalar composite of relevant metrics chosen ex ante as the experiment's success criterion.
- Simplifies decision-making (one number).
- Should reflect business value, be sensitive at reasonable sample sizes, and align long-term with company OKRs.
- Examples: Bing's 'sessions per user', Netflix engagement composite.
- Cost: hard to design well; teams often mis-weight components → dumb decisions.
- Modern practice: use OEC + a small guardrail suite rather than OEC alone.
Check yourself — multiple choice
- Random
- Single scalar composite metric chosen ex ante; simplifies decision-making but must reflect long-term business value; pair with guardrails
- Same as p-value
- Not real
OEC: single composite success metric; simplify decisions + guardrails.
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Practise Statistics Fundamentals
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