Industry overview
What is shaping government
Government departments, PSUs and public programmes need independent evidence on citizen needs, service delivery and programme outcomes, often gathered across large and diverse geographies.
- Programmes are expected to show measurable outcomes
- Citizen feedback is shaping service delivery
- Large field surveys need rigorous quality control
Client background
A state planning department, working in A large state in North India. Client identity is withheld to protect confidentiality.
- Organisation
- A state planning department
- Sector
- Government
- Team engaged
- IT & Development
- Services
- Government research, Offline data collection (CAPI), Data analytics & dashboards
Client challenge
The department wanted independent evidence on how citizens experienced health, education, ration distribution, roads and electricity, to guide budget priorities. Previous surveys had covered only a few districts, so officials could not compare performance across the state.
Research objectives
- Deliver on the brief: a statewide citizen satisfaction survey on public services.
- Design around the real needs of households.
- Define requirements and success criteria the solution would be tested against.
- Deliver a reliable, secure solution the team can run and extend.
Target audience
The work focused on 15,000 households.
- households15,000
Audiences we typically reach in government
Citizens and householdsProgramme beneficiariesFrontline workersLocal officialsBusinesses using public services
Geographic coverage
Coverage: A large state in North India. Market: India.
- India
Research methodology
An iterative delivery approach: discovery, design, build and test in short cycles, with the client reviewing each step.
- 1Brief
- 2Household survey
- 3District dashboards
- 4Insight
We designed a multi-stage household sample covering every district, trained local-language interviewers and used tablets with GPS and time stamps. Results were weighted to population and shown on district dashboards. Back-checks were carried out on a random sample of interviews, and results were shared with district officials in workshops so they could understand and use the findings.
Government researchOffline data collection (CAPI)Data analytics & dashboards
Sampling strategy
- households
- 15,000
- Users and stakeholders from every affected team took part in discovery workshops and acceptance testing.
Data collection
- Requirements were gathered through workshops, process walk-throughs and a review of existing systems and data.
Data quality & validation
- Peer code review on every change
- Automated and manual testing
- User-acceptance testing with the client
- Release checklist and rollback plan
Data analysis
- Usage and performance monitoring after launch
- Defect and support-ticket trends
- Process time before and after
Key findings
- Satisfaction varied widely between districts, and ration distribution and primary health centres showed the largest gaps.
- A second round was planned after eighteen months to track progress.
- A second round was planned to measure progress.
District-level evidence made priorities concrete.
Recommendations
- Build on the core insight: district-level evidence made priorities concrete.
- Focus effort where the evidence was strongest: satisfaction varied widely between districts, and ration distribution and primary health centres showed the largest gaps.
- Re-measure after the changes to confirm the effect.
Business impact
- The department used the dashboards in district reviews.
What changed in the business as a result of the work. Impact is described qualitatively.
Deliverables & next steps
- Insight report and management presentation
- Cleaned data file and data tables
- Interactive dashboard
- Evaluation findings with programme recommendations
- Deployed solution with documentation and handover
- Support and maintenance plan
- Repeat the measure after changes are in place to track progress.
- A natural follow-on question: what do citizens think about a policy?
Client identity is withheld to protect confidentiality.