Consolidating grievances across nine departments in one district
Nine departmental queues, one geography. What changes when duplicate reports cluster into a single operational issue instead of nine tickets.
9 → 1
Queues consolidated
214
Wards with drill-down
4 levels
Severity classification
Evidence
Required before closure
An illustrative scenario composed from how the platform is designed to be used. Not an account of a named customer, and the figures are not audited customer results.
Situation
Where the team started
A district ran nine separate intake systems — a web portal, a telephone helpline, three departmental apps, ward-office registers and field staff reporting by message. Each produced its own count of open issues.
Because none of them shared a geographic identifier, the same broken water line appeared as four independent tickets in four systems, and nobody could say whether the district had four problems or one.
Closure rate was reported at ninety-one percent while the helpline logged the same street repeatedly, month after month. Both numbers were accurate; only one described the world.
Approach
What changed
- 01
Resolve geography at intake
Every channel was wired to the same geographic hierarchy so that a record could not be filed without a resolvable unit. This was the single highest-friction change and the one everything else depended on.
- 02
Cluster before assigning
Individual reports stayed traceable to the person who made them, while duplicates were clustered into one issue with a report count, a velocity and a severity. Teams were assigned the cluster, not the tickets.
- 03
Make closure require evidence
For categories where it mattered, moving to closed required documentary evidence plus an independent field or citizen check — not a status change by the resolving team alone.
- 04
Track recurrence separately
A reopened cluster preserved its complete history including the earlier closure. Recurrence stopped being averaged into new incidence, which made systemic problems visible for the first time.
Result
What it produced
- One deduplicated view of what each ward was actually reporting
- Reported closure rate fell in the first quarter, then rose on a basis that survived scrutiny
- SLA risk surfaced before breach rather than in the monthly review
- Three wards with persistent recurrence were identified that district averages had hidden
The hard part was not the analytics. It was persuading nine teams that a lower closure number computed honestly was worth more than a higher one computed loosely.
The part teams tend to underestimate
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