Start with a defined trigger
An experiment owner authorizes analysis of a completed or stopped test.
Experiment close-to-review packet
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Do not invent statistical significance or substitute a generated explanation for a valid analysis. Report relevant failures and deviations.
An experiment owner authorizes analysis of a completed or stopped test.
Collect the approved hypothesis, assignment rules, verified data, analysis plan and documented deviations.
Summarize results and deviations, separating calculated observations from proposed interpretations.
Qualified analysts verify the method and business owners decide the next action.
Publish the accepted review with the analysis version and decision rationale.
Measure unsupported conclusions, omitted deviations, calculation discrepancies and preparation time.
Keep the input, relevant context, review decision and final result connected. When a reviewer corrects something, use that evidence to improve the instructions or integration, then validate the change against representative cases.
The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.