Illustrative engagement. A representative scenario showing how we approach this kind of work in healthcare. It does not describe a specific client; outcomes are described qualitatively.
Industry overview
What is shaping healthcare
Hospitals, clinics, diagnostics and health-tech companies need evidence from patients and professionals, gathered with verified respondents and strict privacy.
- Patients compare providers online
- Diagnostics and telemedicine are growing
- HCP opinion shapes referrals
Client background
A hospital group, working in India & UAE. This is an illustrative engagement: a representative scenario showing how we approach this kind of work, not a named client project.
- Organisation
- A hospital group
- Sector
- Healthcare
- Team engaged
- Market Research
- Services
- Quantitative research, Online surveys
Client challenge
Nurse turnover was high, especially in the first year.
Research objectives
- Deliver on the brief: understanding nurse retention.
- Understand the views, needs and behaviour of nurses.
- Produce results that can be compared across groups and locations.
- Give the client evidence it can act on within 5 weeks.
Target audience
The work focused on 1,800 nurses.
- nurses1,800
Audiences we typically reach in healthcare
Patients and caregiversDoctors and specialistsNurses and staffDiagnostics customersHealth-tech users
Geographic coverage
Coverage: India & UAE. Markets: India and United Arab Emirates.
- India
- United Arab Emirates
Research methodology
A structured quantitative design, so results could be compared across groups, locations and time.
- 1Brief
- 2Anonymous staff survey
- 3Insight
We ran an anonymous survey on workload, training, recognition and career plans.
Quantitative researchOnline surveys
Sampling strategy
- nurses
- 1,800
- Healthcare professionals and patients were screened on specialty, setting or condition, and professionals were verified before taking part.
- Online respondents were drawn from verified panel members who matched the screening criteria, with quotas on key profile attributes.
Data collection
- The online survey was mobile-friendly and offered in respondents' languages.
Data quality & validation
- Digital fingerprinting and duplicate checks
- Attention, speed and straight-lining checks
- Review of open-ended answers
- Verification of healthcare professionals
- Logic and range checks on the final data
- Work carried out under our ISO 20252 quality procedures
Data analysis
- Cross-tabulation by key groups and locations
- Significance testing on the differences that mattered
Key findings
- First-year nurses lacked mentoring.
The first year decides whether nurses stay.
Recommendations
- Build on the core insight: the first year decides whether nurses stay.
- Focus effort where the evidence was strongest: first-year nurses lacked mentoring.
- Re-measure after the changes to confirm the effect.
Business impact
- The group introduced a buddy programme.
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
- Repeat the measure after changes are in place to track progress.
- A natural follow-on question: will patients use health-tech?