Guardrail metric

On this page
  1. Definition
  2. How to compute
  3. Pitfalls

Definition

A guardrail metric is a constraint metric that the change must not degrade: load time, error rate, opt-outs, support load. The primary metric answers “is it better”, the guardrail answers “did something else get worse”.

How to compute

Pick guardrails before launch and keep them in the same test next to the target metric. Set the threshold as an allowed degradation, in absolute units or in standard deviations, accounting for multiplicity. Decide on the combination: the effect is real and no guardrail crosses its threshold.

Pitfalls

A guardrail with no pre-set threshold becomes a reason to reject any winning test. Too many guardrail metrics without a multiple-comparison correction produce false alarms. The opposite error is just as real: a rare or noisy guardrail metric will not catch genuine degradation.

Related terms

Mentioned in

Connections map

Interactive subgraph: 5 nodes and 7 links around this page. Each node is keyboard-focusable; press Enter or Space to open its page. A full list of nodes and their links follows the graphic.

  • A/B test : Sample Ratio Mismatch (SRM) (Explicit link), Guardrail metric (Explicit link), ab-testing (Thematic link)
  • Guardrail metric : North Star metric (Explicit link), A/B test (Explicit link), Sample Ratio Mismatch (SRM) (Explicit link), ab-testing (Thematic link)
  • North Star metric : Guardrail metric (Explicit link)
  • Sample Ratio Mismatch (SRM) : A/B test (Explicit link), Guardrail metric (Explicit link), ab-testing (Thematic link)
  • ab-testing : A/B test (Thematic link), Guardrail metric (Thematic link), Sample Ratio Mismatch (SRM) (Thematic link)

Terms, articles and projects connected to this concept. Hover a node to see its name; click to open.

← All terms