Do not use only the cleanest files or compare a new process’s routine cases with the incumbent’s difficult ones.
What belongs in the pilot protocol?
Include:
- Eligible population and exclusion rules.
- Baseline route and proposed production route.
- Sampling or allocation method.
- Inspection source, peril, state and complexity strata.
- Acceptance rubric and authorised reviewers.
- Cost, active-time and elapsed-time definitions.
- Treatment of evidence requests, exceptions and withdrawals.
- Stop conditions and rollback process.
- Observation period for later corrections.
- Decision rules agreed before results are available.
For an initial operational pilot, 100–200 files over four to six weeks is a planning example, not a statistically sufficient universal sample. Set the actual volume from available capacity, expected defect rates, loss diversity and the decision you need to make.
Keep retrospective comparison and live testing distinct. Retrospective cases help expose technical weaknesses, but the comparison should control what evidence was available at the time; a later complete claim record gives an unfair information advantage over the original production route.
What should the pilot scorecard contain?
| Decision dimension | Proposed requirement |
|---|---|
| Evidence and authority | No unresolved critical control failure before release |
| Material quality | No unacceptable deterioration against the agreed baseline, with uncertainty reported |
| First-pass acceptance | Improvement assessed alongside review minutes and exceptions |
| Usable-file turnaround | Median and 90th-percentile times, plus outstanding-file age |
| Economics | Same-scope total cost per accepted file, including retained work |
| Coverage of assignments | Exclusions and exceptions remain within the approved operating scope |
| Operability | Failed-transfer, outage, rollback and export tests completed |
Does zero material errors prove the process is safe?
No. Under an independent, representative binomial-sampling assumption, zero observed errors in 100 files gives a one-sided 95% upper error-rate bound of about 2.95%; zero in 300 gives about 0.99%. These are calculated illustrations using the exact-binomial approach, not measured industry error rates. Correlated files, selective sampling or inconsistent review can invalidate that simple interpretation. (itl.nist.gov)
Have the analytics team set confidence intervals and sample requirements for the actual decision. Report counts and denominators alongside percentages, especially for small strata.
Exit gate: claims, QA, finance, technology and compliance sign the results, limitations and rollout conditions—not merely a demonstration approval.
Sources cited on this page
- itl.nist.govitl.nist.gov