Public Sentiment Overview
View All82%
Overall
Positive Sentiment
- Very Positive42%
- Positive36%
- Neutral10%
- Negative5%
- Very Negative3%
Solutions · Analytics & Impact
Correlation is not a result.
Every impact statement Civiq.plus produces exposes its method, baseline, comparison period, confidence and known confounders. If the platform cannot support a causal claim, it says so rather than presenting a coincidence as an achievement.
Measurement
Report at the level the evidence supports
Most reporting failures are level errors: a team runs an outreach programme, measures attendance, and reports it as improved satisfaction. Civiq.plus separates the levels explicitly, so a reach number can never quietly become an opinion claim.
- Operational, reach and attention measured separately
- Opinion movement always paired with confidence
- Service outcome tracked including recurrence
- Attribution reserved for studies with a comparison method
Citizen Feedback Trends
View All- Service Satisfaction82%↑ 8%
- Infrastructure68%↑ 5%
- Cleanliness61%↑ 4%
- Safety & Security74%↑ 6%
- Transparency79%↑ 7%
Service Delivery Monitoring
View All78%
Overall
Service Index
- On-Time Delivery81%
- Quality of Service76%
- Resolution Rate74%
- Citizen Reach79%
Capabilities
What the module provides
Eight measurement levels
From tasks completed up to a causal estimate. Reporting at the wrong level is the most common way an impact claim goes wrong.
Before/after studies
Pull a snapshot from before an intervention and compare it against the current state, with the comparison method stated explicitly.
Confounder registry
Known factors that could independently explain a change are recorded on the study, not left implicit in a slide.
Custom reports & exports
Build reports for your own teams and export CSV, PDF or JSON — always scoped to the requester's permissions.
Predictive indicators
Anticipate where demand or dissatisfaction is building, with the same confidence discipline applied to forecasts.
Analyst review status
An estimate that no analyst has reviewed is labelled as such, so nobody mistakes a draft for a finding.
Levels
The eight measurement levels
| Level | Examples |
|---|---|
| Operational | Tasks completed, events executed, issues resolved |
| Reach | Unique reach, community delivery, attendance, exposure |
| Attention | Watch time, completion, replay, retention |
| Engagement quality | Substantive comments, meaningful shares, survey participation |
| Narrative | Topic association, narrative velocity, risk, question frequency |
| Opinion | Mood and perception movement, with stated confidence |
| Service outcome | Issue resolution rate and recurrence |
| Attribution | Experimental, quasi-experimental or causal model estimate |
Impact study
What every study records
A study that does not record its comparison method and confounders is an anecdote with a chart on it. These fields are required, not optional.
| Field | What it captures |
|---|---|
| Intervention | What was done, where, and over which window |
| Pre / post window | The baseline period and the measurement period |
| Baseline metrics | The state of the twin before the intervention |
| Comparison method | Control group, matched comparison or quasi-experimental design |
| Confounders | Known factors that could independently explain the change |
| Estimated effect | The measured difference, with a confidence interval |
| Confidence grade | How much weight the estimate can carry |
| Analyst review | Whether a human analyst has reviewed and signed off |
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