Cross-method routing
Route the work to problem analysis, flow improvement, experiment design, decision analysis, standard work, or risk prevention.
RigorFrame connects the original signal, competing mechanisms, evidence, experiments, controlled standards, reaction plans, and independently verified value in one governed workspace.
Built for manufacturing, field service, quality, reliability, maintenance, and operational-excellence teams.
Define the observable gap and measurement boundary.
Develop explanations that make different predictions.
Seek evidence that could weaken the preferred explanation.
Run a bounded experiment with success and kill criteria.
Convert validated learning into controlled work.
Specify trigger, owner, response, and escalation.
Separate modeled, observed, and independently verified benefit.
RigorFrame uses the useful mechanics behind established improvement approaches while keeping the workflow original, inspectable, and tied to measurable outcomes.
Route the work to problem analysis, flow improvement, experiment design, decision analysis, standard work, or risk prevention.
Preserve source, quality, stance, limitations, and the exact claim each piece of evidence can support.
Require a prediction, discriminating variable, success threshold, kill criterion, confounders, and a decision.
Version, review, approve, supersede, train, audit, and connect standards to the case that justified the change.
Use role-based approvals, immutable audit history, legal holds, retention controls, and independent benefit verification.
Retrieve only permission-allowed sources and force the model to cite the evidence behind every substantive claim.
Start narrow. Demand evidence. Verify the outcome.