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AI Interview Question

Evaluation Strategy trade-offs for a document intelligence pipeline

AI CareerHardScenario Based18 min read

Senior trade-off interview question on Evaluation Strategy within AI Career & Behavioral.

Document intelligence evaluation trade-off diagram: pipeline stages, Option A heuristics vs Option B platform refactor, and a two-quarter path from thin golden-set gates to owned platform eval with canary rollback.

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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