The alert fatigue pattern specifically
Dashboards that flag every minor anomaly with the same visual weight as a genuine critical failure train their viewers to stop distinguishing between them within weeks — the classic alert fatigue pattern familiar from any monitoring discipline, applied to data instead of infrastructure.
Once that training happens, even a genuinely critical flag gets the same dismissive glance as the routine noise around it, which defeats the entire purpose of having the dashboard.
What makes a data quality dashboard actually get used
Severity tiers that map to a specific required action, a named owner per data domain who's accountable for resolving flags in their area, and ruthless pruning of low-value checks that nobody has ever acted on, keep a dashboard worth opening long after the launch enthusiasm fades.
A dashboard nobody opens after month two isn't a data quality failure. It's an alert design failure that happens to be about data.MNB Data Practice
Key actions
- Tier alerts by severity mapped to a specific required action
- Assign a named owner per data domain for resolving flags
- Prune low-value checks nobody has ever acted on
- Audit dashboard usage, not just dashboard existence, periodically