Flow metrics from the school-district student-information ART show rising WIP. An AI assistant flags a repeating blocker cluster; the RTE uses the pattern in Scrum Master coaching conversations rather than publishing a blame chart. What is the right human-plus-AI split?
Select an answer to reveal the explanation.
Short Explanation
The model is a highlighter on the WIP chart, not the principal calling kids to the office. Someone still has to ask why enrollment stories stall and coach the train. Pattern first, human interpretation second.
Full Explanation
Flow analytics are a natural RTE augmentation: models can cluster blockers, queue spikes, and aging WIP that humans might miss in a student-information backlog. Interpretation, coaching, and any change to working agreements stay with the RTE and ART roles. Auto-reassigning work or forwarding raw model text to a school board skips that judgment and risks blame. The human-plus-AI split is detect then coach, not detect then dictate.