Insights Methodology

AI Execution Benchmark Methodology

This page defines how RB Consulting will collect, normalize, and publish benchmark evidence. It is a methodology page, not a benchmark claim page.

Data model scope

Execution Drag Check signals
Technology Reality Check findings across ownership, workflow, decisions, governance, and operational readiness
Observed silent failure pattern frequencies and cluster relationships
Post-diagnostic stabilization outcomes where available

RB Consulting will not publish benchmark claims until minimum sample, consistency, and confidence thresholds are met for each reported slice.

Sample sufficiency

Minimum record count required per segment before publication.

Signal consistency

Cross-cycle signal drift checks and anomaly flags.

Confidence controls

Uncertainty statements included when confidence is limited.

Methodology published. Public benchmark findings remain in preparation mode until readiness thresholds are met.