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Guardrail Metrics for Experiments

Table output

Prevent harm while optimizing.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

Choose guardrail metrics. Product area and planned experiments: [AREA_AND_EXPERIMENTS]. Primary metrics: [PRIMARY_METRICS]. Risks (user trust, performance, revenue, support load): [RISKS].

Produce a table: Experiment | Primary metric | Guardrail metrics | Direction considered harmful | Threshold to stop | How measured | Owner. Include guardrails such as error rate, page load time, refund rate, support tickets, unsubscribe rate, and long-term retention proxy. Explain the difference between guardrails and secondary metrics, and why short experiments may miss long-term harm.

Add stopping rules (stop early only if a guardrail is clearly breached, with a pre-set threshold and a note on statistical caution), an ethics check (does the experiment manipulate users unfairly, target vulnerable groups, or hide costs?), and a review template.

For each experiment name the single guardrail most likely to be breached, give the threshold in numbers (for example page load time up by more than 200 milliseconds), and say who can stop the test and how quickly.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

• guardrail-metrics