Public intelligence

What's happening in public services right now?

The TrustLens Intelligence Engine turns citizen feedback into structured issues: it classifies sentiment, intent, severity and urgency, clusters duplicate reports into a single underlying problem and tracks how each one moves.

Verified data
Report an issueWatch TrustLens Live

Reports are citizen submissions. TrustLens classifies, contextualises and tracks them — it does not adjudicate guilt, and allegations remain unverified.

Public Pulse

What's happening across the country right now?

Verified data
Positive 0%Neutral 100%Negative 0%

Reports tracked

0

Still open

0

Critical issues

0

Emerging

0

Awaiting review

0

TrustLens Score

73/ 100

Demo intelligence
Responsiveness78
Share of reports that received an official first response.
Resolution71
Share of reports closed as resolved.
Response time68
Scored against a 168-hour (7-day) first-response target.
Citizen satisfaction74
Average citizen rating of resolved cases (1-5 scaled to 100).
Transparency80
Institutions publishing verifiable performance data on TrustLens.
Recurring issues62
Penalises issues that keep re-appearing in the same place.
How is this calculated?
  • • Responsiveness (20%) — share of citizen reports that received an official first response.
  • • Resolution (25%) — share of reports closed as resolved.
  • • Response time (15%) — measured against a 7-day first-response target.
  • • Citizen satisfaction (20%) — average rating citizens gave to resolved cases.
  • • Transparency (10%) — institutions publishing verifiable performance data.
  • • Recurring issues (10%) — penalty when the same issue repeats in the same place.
  • • Only verified records inside TrustLens are used. Where the sample is too small, the panel is labelled DEMO INTELLIGENCE and must not be quoted as fact.
Natural Language Intelligence Copilot
AI COPILOT

Ask questions against live customer feedback. Every response is grounded in real vector-retrieved records with exact ID citations.

Suggestions:

Anomaly detection

Signals outside the expected range

Compared against the previous 30 days window.

Nothing is spiking above its baseline for this period.

Issue radar

Every issue cluster, sorted the way it matters

Clusters group duplicate citizen reports into the single underlying problem.

Verified data

No issue clusters have been created yet.

Regional

Where feedback concentrates

  • No regional data for this period.

Agency intelligence

How institutions are tracking

  • No institution-linked clusters yet.

Context graph

Agency → service → location → issue → feedback

The relational spine behind every number on this page.