Acceptance criteria are the specific, predefined conditions a piece of work, a labeled batch, a moderation decision, a support ticket, has to meet before it's considered done and approved, rather than relying on a reviewer's general impression of whether it looks right. They turn a subjective judgment call into a checklist that produces the same decision no matter who's reviewing.

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‍Why it matters

Without clear acceptance criteria, one reviewer might approve borderline work because it seems close enough, while another rejects the exact same work, purely based on personal standards rather than anything written down. This inconsistency compounds at scale, since a large team might have dozens of people making pass or fail decisions every day.

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‍What real thresholds look like

A typical set of criteria might require a batch to hit at least 98% accuracy with zero critical errors to pass outright, while something landing between 95 and 98% gets flagged for a closer secondary review rather than an automatic pass or fail. Setting specific numeric thresholds in advance, rather than leaving good enough to individual judgment, is what actually makes acceptance criteria enforceable rather than aspirational.