Metric Definitions
Clarity, intent, owner, and business rules.
SignalCare
Analytics
Reporting Trust Audit
SignalCare traces the reported metric through its specification, source, logic, validation, and exceptions so the team can establish a trusted signal before leaders act.
No PHI is needed for the initial conversation.
Metric X-Ray
Synthetic example — not client results
What we review
SignalCare reviews the metric layer beneath dashboards so teams can agree on what is measured and why.
Clarity, intent, owner, and business rules.
Validate queries, joins, filters, and calculations.
Confirm logic matches the business intent.
Validate exclusions, edge cases, and data-quality filters.
Trace data from source tables to visuals.
Confirm data latency and refresh schedules.
Validate attribution logic and grouping rules.
Ensure detail matches summary at every level.
The framework
Agree on the metric and reporting use case.
Review intent, definitions, business rules, and measurement logic.
Map source systems, tables, populations, and timing.
Validate SQL / CCL logic against the definition.
Compare dashboards and exports to the validated result.
Document issues, impact, and recommended corrections.
What you get
High-level view of risks and impacts.
Complete definitions, rules, and ownership.
End-to-end data lineage and logic flow.
Issues ranked by severity and impact.
Clear actions with expected results.
Recommended next views and signals.