The Concern Reporting system allows citizens to submit issues, track their progress, and receive updates on resolution efforts. This comprehensive issue management system streamlines government response to citizen concerns.
CitizenAI’s Concern Reporting feature provides a structured way for citizens to:
The system automatically categorizes concerns into predefined types:
=== “Infrastructure” - Road repairs and potholes - Street lighting issues - Traffic signal problems - Sidewalk maintenance - Bridge and tunnel concerns
=== “Environmental” - Waste collection issues - Water quality problems - Noise complaints - Air quality concerns - Illegal dumping
=== “Public Safety” - Emergency situations - Crime reporting - Public hazards - Security concerns - Fire safety issues
=== “Administrative” - Service complaints - Staff conduct issues - Process improvement suggestions - Policy questions - General feedback
graph TD
A[Concern Submitted] --> B{Assess Priority}
B -->|Immediate Danger| C[🚨 Emergency]
B -->|Significant Impact| D[⚠️ High Priority]
B -->|Moderate Impact| E[📋 Medium Priority]
B -->|Minor Issue| F[📝 Low Priority]
C --> G[Immediate Response]
D --> H[24-48 Hour Response]
E --> I[3-7 Day Response]
F --> J[1-2 Week Response]
Optional Information:
<form id="concern-form">
<div class="form-group">
<label for="title">Concern Title *</label>
<input type="text" id="title" required maxlength="100"
placeholder="Brief description of the issue">
</div>
<div class="form-group">
<label for="category">Category *</label>
<select id="category" required>
<option value="">Select a category</option>
<option value="infrastructure">Infrastructure</option>
<option value="environmental">Environmental</option>
<option value="safety">Public Safety</option>
<option value="administrative">Administrative</option>
</select>
</div>
<div class="form-group">
<label for="description">Description *</label>
<textarea id="description" required rows="5"
placeholder="Provide detailed information about the concern"></textarea>
</div>
<div class="form-group">
<label for="location">Location</label>
<input type="text" id="location"
placeholder="Address or landmark">
</div>
<div class="form-group">
<label for="photos">Attach Photos</label>
<input type="file" id="photos" multiple accept="image/*">
</div>
</form>
Each concern receives a unique tracking number:
# Tracking number format: TRK-YYYY-NNNN
tracking_number = "TRK-2025-0001"
concern_status = {
"id": "concern_12345",
"tracking_number": "TRK-2025-0001",
"title": "Broken street light on Main Street",
"status": "in_progress",
"priority": "medium",
"submitted": "2025-01-01T10:00:00Z",
"last_updated": "2025-01-02T14:30:00Z",
"estimated_resolution": "2025-01-05T17:00:00Z"
}
stateDiagram-v2
[*] --> Submitted
Submitted --> Under_Review
Under_Review --> Assigned
Assigned --> In_Progress
In_Progress --> Resolved
In_Progress --> Escalated
Escalated --> In_Progress
Resolved --> Closed
Under_Review --> Rejected
Rejected --> [*]
Closed --> [*]
| Status | Description | Typical Duration |
|---|---|---|
| Submitted | Concern received and logged | Immediate |
| Under Review | Initial assessment in progress | 1-2 business days |
| Assigned | Assigned to appropriate department | 1 business day |
| In Progress | Active work on resolution | Varies by complexity |
| Escalated | Requires higher-level attention | Additional 2-5 days |
| Resolved | Solution implemented | N/A |
| Closed | Concern fully addressed | N/A |
| Rejected | Not a valid concern or outside scope | 1-2 business days |
Administrative interface for managing concerns:
graph TB
A[New Concerns] --> B[Review Queue]
B --> C{Valid Concern?}
C -->|Yes| D[Assign Department]
C -->|No| E[Reject/Redirect]
D --> F[Work Queue]
F --> G[In Progress]
G --> H{Resolved?}
H -->|Yes| I[Close Concern]
H -->|No| J[Update Status]
J --> G
# Department workload tracking
workload_stats = {
"public_works": {
"assigned": 45,
"in_progress": 23,
"avg_resolution_days": 5.2
},
"environmental": {
"assigned": 12,
"in_progress": 8,
"avg_resolution_days": 3.1
},
"administration": {
"assigned": 28,
"in_progress": 15,
"avg_resolution_days": 7.8
}
}
Track concern management effectiveness:
=== “Resolution Metrics” - Average resolution time by category - Resolution rate percentage - Escalation frequency - Citizen satisfaction scores
=== “Volume Metrics” - Daily/weekly concern volume - Peak submission times - Seasonal patterns - Geographic distribution
=== “Quality Metrics” - First-contact resolution rate - Reopened concern percentage - Staff productivity measures - Process efficiency scores
Citizens receive notifications via their preferred method:
notification_preferences = {
"email": "user@example.com",
"sms": "+1234567890",
"in_app": True,
"frequency": "major_updates" # or "all_updates"
}
# Notification triggers
NOTIFICATION_EVENTS = [
"concern_received",
"status_changed",
"assigned_to_department",
"resolution_update",
"concern_resolved",
"concern_closed"
]
<!-- Email template for status update -->
<div class="concern-update">
<h2>Concern Update: </h2>
<p><strong>Status:</strong> </p>
<p><strong>Update:</strong> </p>
<p><strong>Estimated Resolution:</strong> </p>
<a href="">View Full Details</a>
</div>
Seamless connection with the AI chat system:
# Escalate chat to concern
def escalate_to_concern(chat_session):
concern_data = {
"title": extract_issue_summary(chat_session),
"description": format_chat_transcript(chat_session),
"category": classify_concern(chat_session),
"priority": assess_urgency(chat_session),
"source": "chat_escalation"
}
return create_concern(concern_data)
Concern data feeds into analytics dashboard:
# Integration with existing city systems
EXTERNAL_INTEGRATIONS = {
"work_order_system": {
"endpoint": "https://city.gov/api/work-orders",
"auth": "api_key",
"sync_frequency": "real_time"
},
"gis_mapping": {
"endpoint": "https://city.gov/api/gis",
"features": ["location_validation", "asset_lookup"]
},
"citizen_portal": {
"endpoint": "https://city.gov/portal/api",
"features": ["user_lookup", "notification_delivery"]
}
}
POST /api/v1/concerns
Content-Type: application/json
{
"title": "Broken street light",
"description": "Street light at intersection of Main and Oak is not working",
"category": "infrastructure",
"location": "Main St & Oak Ave",
"priority": "medium",
"contact": {
"email": "citizen@example.com",
"phone": "555-0123"
},
"anonymous": false
}
Response:
{
"success": true,
"data": {
"concern_id": "concern_12345",
"tracking_number": "TRK-2025-0001",
"status": "submitted",
"estimated_resolution": "2025-01-05T17:00:00Z"
}
}
GET /api/v1/concerns/{tracking_number}
Response:
{
"success": true,
"data": {
"tracking_number": "TRK-2025-0001",
"title": "Broken street light",
"status": "in_progress",
"priority": "medium",
"submitted": "2025-01-01T10:00:00Z",
"last_updated": "2025-01-02T14:30:00Z",
"updates": [
{
"timestamp": "2025-01-01T10:00:00Z",
"status": "submitted",
"message": "Concern received and logged"
},
{
"timestamp": "2025-01-01T15:30:00Z",
"status": "assigned",
"message": "Assigned to Public Works Department"
}
]
}
}
PUT /api/v1/concerns/{concern_id}
Authorization: Bearer admin_token
{
"status": "in_progress",
"message": "Work crew dispatched to location",
"estimated_resolution": "2025-01-04T17:00:00Z"
}
The concern reporting system is fully responsive:
// Service worker for offline functionality
self.addEventListener('fetch', event => {
if (event.request.url.includes('/concerns/submit')) {
event.respondWith(
fetch(event.request).catch(() => {
// Store for later submission when online
return storeForLaterSubmission(event.request);
})
);
}
});
!!! tip “Effective Concern Reporting” - Be specific: Include exact locations and clear descriptions - Provide context: Explain when the issue was first noticed - Include photos: Visual evidence helps with assessment - Use appropriate urgency: Reserve high priority for genuine emergencies - Follow up: Check tracking status periodically
!!! info “Efficient Concern Management” - Acknowledge quickly: Confirm receipt within 24 hours - Communicate regularly: Provide status updates every few days - Be transparent: Explain delays or complications - Close the loop: Confirm resolution with the reporter - Learn from patterns: Use data to prevent recurring issues
# Security configuration
SECURITY_CONFIG = {
"file_upload": {
"max_size": "10MB",
"allowed_types": [".jpg", ".png", ".pdf"],
"virus_scanning": True
},
"data_encryption": {
"personal_info": "AES-256",
"file_storage": "encrypted_at_rest"
},
"access_logging": {
"enabled": True,
"retention": "7_years"
}
}