The dashboard layer exists to give leadership and operators one view of system health.
What belongs on the dashboard
- overall workstream and pipeline state
- activity and follow-up load
- workstream and manager distribution
- response timing
- AI and operational execution signals
What dashboard metrics are for
Metrics should answer:
- where workstreams are stuck
- who owns too many or too few workstreams
- which parts of the process lack follow-up
- whether customer response behavior is improving
Management use case
Leadership should use dashboard and analytics to detect bottlenecks early, then inspect workstreams, inbox, calls, and tasks where the issue actually lives.
Product principle
Dashboard pages summarize. They do not replace the operational records behind them.