Citizen Voice Intelligence

Feedback from six channels, automatically grouped into issue themes and linked to operational signals. Last 30 days · synthetic, anonymized, no personal data.

Total feedback
14,860
6 channels
Positive
4,120
28%
Neutral
3,560
24%
Negative
6,020
41%
Critical complaints
1,160
formal / escalated
Avg. resolution
5.9days
target 7 days
Unresolved
1,470
open complaints

Complaints related to processing delays increased 38% this month, concentrated in Permit Processing and Business Registration. Application-status complaints have risen for three consecutive weeks.

AI-generated insight

Sentiment over time

Weekly feedback volume by sentiment

PositiveNeutralNegativeCritical

Feedback by source

Last 30 days

Complaint Portal4,607
Call Center3,566
Survey2,675
Email1,337
Public Feedback Form1,189
Social / Media Signals1,486

Issue clusters

AI-clustered issue themes

Processing Delay

3,420 mentions · previous period 2,478 · sentiment score -0.62

Representative feedback (synthetic, paraphrased)
“Application submitted over two weeks ago with no decision yet.”
“Permit took much longer than the published service standard.”
“Was told verification is still pending after several follow-ups.”

Issue correlation

Signals that move together may share an operational driver.

Permit Processing — indexed signals (W28 = 100)
Indexed to a common base so all three share one axis.
Complaint volumeSLA shortfall (100 − SLA%)Backlog
Complaint spike+SLA deterioration+Backlog increase
Complaints ↔ backlog
r = 0.97
Complaints ↔ SLA shortfall
r = 0.98
AI conclusion Hypothesis

“These signals are likely related and warrant operational investigation.” The rise in delay and status complaints tracks the growth of the document-verification queue.

Method: Pearson correlation of indexed weekly signals — co-movement only, not causation. Correlation does not establish causality; confirm through process review.

Demonstration prototype. All organizations, regions, services, programs, figures and feedback are synthetic and fictional. AI outputs are simulated with rule-based analytics and require human review.