Civic Diagnostics

The platform watches for civic access gaps and adapts. No individual data — only deidentified community signals.

Method: Normal→Broken→Fix diagnostic reasoning applied at community scale. How is the civic system functioning? Where do gaps appear? What addresses them?

Diagnostic reports are generated weekly from community activity data. When enough community members participate, the system begins detecting patterns — unmet needs, accountability gaps, engagement trends, and resource mismatches.

All analysis uses deidentified aggregates with k≥11 suppression. No individual contributions are identifiable.

The system needs community activity to diagnose. Start by posting a discussion, sharing a need, or submitting a proposal.

Start a Discussion Share a Need Submit a Proposal

Preview: what a diagnostic report looks like

72
Health Score (C)
↑ Strengthening
Trajectory
⚠️ 8 housing needs unmet ✅ 91% food needs matched 📊 Census: poverty 22% confirms signal

One-page print-ready report for elected officials, grant applications, or community meetings

All data in this report is deidentified and aggregated. Individual contributions are never displayed.
k-anonymity threshold: k≥11. Counts below 11 are suppressed.
CARE/OCAP principles applied: community data belongs to the community.

The Diagnostic Loop

Community activity → Pattern detection → Failpoint diagnosis → Convergence with federal data → Recommended actions → Platform adaptation → Better community outcomes → Community activity

The scaffold doesn't change. The content changes. The community is the patient.