Run AI evaluation as a PDSA loop
Design a PDSA evaluation loop for an AI workflow.
The AI call-summary tool is popular, but managers discover that summaries miss customer commitments in renewal conversations. Use PDSA to test a quality theory in the workflow, study failure patterns, and adjust before scaling. The common trap is treating user satisfaction as proof of quality. People can like a tool that saves time while it quietly drops important commitments. Before The team tracks usage and rep satisfaction, but not whether critical commitments are captured accurately. After The team runs a PDSA loop that measures commitment capture, studies failure modes, and adjusts the workflow before broader rollout. Plan Theory: source-linked action…
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