Start with a defined trigger
A supervisor selects an approved sample of completed service interactions.
Resolved interaction-to-quality packet
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Confirm sampling fairness, employee privacy and permitted use. Do not infer intent or performance from isolated wording alone.
A supervisor selects an approved sample of completed service interactions.
Collect the interaction, applicable policy, verified outcome and the current quality rubric.
Identify evidence relevant to each criterion and flag uncertain assessments for supervisor review.
A supervisor confirms findings and decides coaching or process changes. AI output does not independently determine employee consequences.
Save the accepted review and separate individual coaching from reusable process improvements.
Measure unsupported findings, missed factual errors, reviewer consistency and coaching preparation effort.
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.
Learn through courses, practical training and workshops. Get feedback as you apply the lessons to your own project.
Explore courses and workshops ↗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 ↗Looking for a course, help with a difficult problem, or someone to build a solution? Tell us where you are and what you'd like to do next.