How Often Does Automation Report Success Without the Intended Result?

1. Preregister question, population, and exclusions. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 1 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

2. Freeze source versions and observation windows. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 2 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

3. Define outcomes before viewing results. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 3 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

4. Calibrate independent first reviews. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 4 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

5. Sample routine and boundary cases. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 5 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

6. Retain disagreements before consensus. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 6 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

7. Analyze denominators and missingness. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 7 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

8. Test alternative definitions and thresholds. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 8 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

9. Link remediation to observed evidence. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 9 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

10. Publish limitations beside every finding. For “How Often Does Automation Report Success Without the Intended Result?,” the protocol records the eligible population, source systems, timestamps, reviewer roles, first-pass classification, confidence, owner dependency, downstream consequence, and unavailable evidence. Stage 10 of automation-false-success-detection-study reports counts, denominators, exclusions, missingness, disagreement, correction, reversal, reopening, and unresolved status. Protected narratives remain in approved systems while analysis uses stable references and minimum-necessary fields. The method can characterize observed operating records; it cannot prove causation, legal compliance, universal provider quality, intent, or a promised business outcome. An accountable client owner decides whether the evidence supports a process change, and any remediation receives an owner, due date, implementation event, verification test, and residual limitation.

Accessed 2026-10-12. These authoritative sources support governance privacy security records and statistical method the declared protocol and client policy govern the specific study.