Human Review Sampling Plan for Automated Output

Decide how many automated results a person should check and how often.

Added October 15, 2026. Written with AI assistance and checked for clarity and placeholders; not reviewed by a lawyer, accountant, clinician or other professional. How these prompts are made

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Create a sampling plan for checking automated output. Output type: [OUTPUT_TYPE]. Volume per week: [VOLUME]. Cost of an error: [ERROR_COST]. Reviewer time per item: [MINUTES_PER_ITEM]. Current error rate if known: [KNOWN_ERROR_RATE].

Recommend a sample size per week with the reasoning, a higher sampling rate for the first month and for any change to the workflow, and a rule for increasing sampling after an error. Show the arithmetic for hours of review per week.

Include a review form with fields for item id, verdict, error type from a fixed list, and notes; a monthly summary layout; and a trigger for pausing the automation if errors in a week exceed [PAUSE_THRESHOLD]. Say plainly that small samples give rough estimates only.

Also explain how to stratify the sample so rare but costly categories are always included, how to keep reviewers from seeing the model's confidence first, and how to rotate reviewers to reduce fatigue and habit.

Show the review workload with this pattern. If there are 400 items a week and a person needs 3 minutes per item, reviewing a quarter of them means 100 items and 300 minutes, which is 5 hours. Reviewing a tenth means 40 items and 120 minutes, which is 2 hours. Give me the same calculation for my numbers at three sampling levels. Add a decision table that says when to move from the high rate to the low rate, for example after four consecutive weeks with no serious errors, and when to move back up, for example after any error that reached a customer. Include a short note on keeping a record of every change in the sampling rate and the reason for it.

Close with a summary table for managers: sample size, reviewer hours, error rate found and the decision taken about the sampling rate. Record each review decision with the reviewer, date and reason, so the sampling rate can be justified later.

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Invented volume: 400 items a week, 3 minutes per item.
Month one: review 25 percent = 100 items = 300 minutes = 5 hours a week.
Steady state: review 10 percent = 40 items = 120 minutes = 2 hours a week.
Rule: move to 10 percent after four weeks with no serious error; return to 25 percent for a month after any error that reached a customer or after any change to the workflow.
Review form: item id, verdict, error type, notes. Monthly summary: errors found per 100 items reviewed. With only 40 items, a rate is a rough guide, not proof.

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