Civiq.plus is a decision-support and operations platform, not a listening dashboard. It explains what changed, where it changed, what can be done about it, what was actually done, and whether the outcome improved afterwards.
Overall Performance
Feedback Received
2.34M
↑ 14% vs last 30 daysIssues Resolved
1.24M
↑ 19% vs last 30 daysActive Alerts
320
↓ 12% vs last 30 daysArchitecture
Domain services publish events to a shared stream. The twin consumes normalized signals and maintains current state plus history. Dashboards read from query-optimized stores; operational modules write results back.
Every channel a community already uses arrives in one normalized stream, tagged to a place and a time.
A live state vector for every geographic unit, plus periodic snapshots so you can compare any two moments.
Registered, permissioned agents that summarise signals, find anomalies and propose options with evidence.
Turn findings into assigned work, then measure whether the underlying condition actually improved.
Operating loop
Normalize feedback and signals from every permitted channel into one place-tagged stream.
Extract issues, cluster narratives and score sentiment, with confidence attached.
Locate where a change originated and which signal families contributed to it.
Compare corrective options against predicted impact, cost, risk and required resources.
Assign owners, apply SLA policies and track execution through to evidence-backed closure.
Run before/after studies with explicit method, comparison period and known confounders.
Design principles
Every record attaches to a geographic unit. Campaigns, grievances, surveys, events and field reports all become part of one place-based timeline.
A dashboard that only shows a number is a scoreboard. Civiq.plus shows what moved, where, what the contributing signals were, and how confident the estimate is.
An issue is not resolved because someone changed a status. Closure can require documentary evidence plus independent field or citizen verification.
AI drafts, clusters and recommends. Broadcasts, sensitive messages and high-impact recommendations pass through an explicit approval gate.
Freshness, sample size, representativeness, source diversity and geographic resolution all feed a confidence score shown alongside the metric.
If one source fails, dashboards retain last-known state and label it as stale rather than silently showing a gap as a result.
Scale
10-30s
Alert-to-screen latency
<500ms
P95 API response
99.9%+
Core availability target
8 levels
Geographic hierarchy depth
| Requirement | Acceptance target |
|---|---|
| Dashboard freshness | Critical alerts surface within 10-30 seconds of a normalized event arriving. |
| API latency | P95 under 500 ms for standard reads and writes; analytical queries carry their own SLO. |
| Availability | 99.9%+ target for command-centre core services, higher where a deployment requires it. |
| Scalability | Horizontal scaling to millions of users and signals, partitioned by tenant, geography and time. |
| Offline mobile | Core field workflows remain usable without a network and reconcile on reconnect. |
| Auditability | Every approval, broadcast, status change and agent run is traceable to a person and a time. |
| Explainability | Alerts and recommendations expose their evidence, contributors and confidence. |
| Localization | Unicode throughout, RTL readiness, translation memory and regional-language interfaces. |
| Accessibility | WCAG-aware controls and control-room visuals designed for sustained reading. |
| Export | CSV, PDF and JSON exports scoped to permissions, with no uncontrolled export of personal data. |
See how Civiq.plus can help your teams make better decisions, faster.
