Yes. The goal is to define the operational rules that make dashboards actionable rather than simply informative.
This includes identifying meaningful thresholds, combinations of metrics, and alert conditions that signal when a workflow is starting to break down or drift from expected performance.
For example, pick accuracy might still appear green on a dashboard, but if cycle time is trending upward it can indicate congestion, a growing exception backlog, or poor wave design. When the right signals are combined, dashboards become early warning systems rather than just reports.
