Deep explanation
Evaluation Strategy trade-offs for a document intelligence pipeline
Senior trade-off interview question on Evaluation Strategy within AI Career & Behavioral.

Quick answer
For a document intelligence pipeline, treat the choice as timing vs durability: a fast heuristic eval (spot checks, regex/field rules, small human samples) ships in weeks and catches obvious extraction and routing bugs, but it under-measures layout drift, long-tail docs, and model/prompt regressions. A platform refactor (versioned golden sets, automated parse/extract/classify scores, CI gates, slice dashboards) takes a quarter but becomes the release brake you need. Over two quarters, do both in sequence: Q1 ship heuristic gates plus a thin golden set on the top failure modes
The interview question
Your team must choose between two approaches for Evaluation Strategy in a document intelligence pipeline: a faster heuristic solution and a slower platform refactor. Compare trade-offs and recommend a path for the next two quarters.
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