Transforming Performance Reporting into Operational Infrastructure
- Adeeb Naasan
- Mar 3
- 2 min read
Updated: Mar 5
Role: Vaccinations Performance Lead, Scottish Government
Scope: 'Flu & COVID Programmes | 14 Regional Health Boards | Central & Local Operational Teams
Replaced manual, retrospective reporting with a trusted, real-time dashboard that shifted performance management from reactive oversight to predictive operational planning.
Context
The national flu and COVID vaccination programme relied on manually prepared weekly PowerPoint slides. Data was typically a week delayed, inconsistencies existed between central and local datasets, and performance discussions were often defensive rather than collaborative. Reporting was retrospective, with limited ability to forecast demand, allocate capacity, or identify emerging inequalities.
Product Intervention
As Performance Lead, I identified the need for a unified, real-time dashboard to replace manual reporting. Through direct engagement with all fourteen regional health boards, I translated operational pain points into clear product requirements.
Working with analysts and developers, I defined and launched a minimum viable product focused on trusted core metrics, data quality assurance, and clarity of visualisation. Structured user testing enabled rapid iteration, with subsequent releases introducing deprivation and protected characteristic breakdowns to support targeted inequality interventions.
Crucially, I embedded the dashboard within formal performance governance processes, ensuring it became core infrastructure rather than an optional reporting tool.
Real-time Vaccination Dashboard with breakdowns by programme, region, ethnicity and deprivation.
Adoption & Behavioural Shift
The dashboard achieved 100% national adoption and became the single source of truth across all boards. Reporting shifted from fortnightly manual slide reviews to weekly real-time access, with central and regional teams viewing quality-assured data simultaneously.
Automation reduced the central performance team from six staff to two, while improving timeliness and data integrity. Most importantly, automated and structured data flows enabled consistent predictive forecasting of uptake - informing clinic capacity planning, staffing allocation, and targeted national campaigns.
Performance culture shifted from defensive reporting to collaborative operational planning, with earlier risk escalation and more proactive resource deployment.
Outcomes & Impact
100% national adoption across all 14 regional health boards
Replacement of fortnightly manual slide reporting with weekly real-time, quality-assured dashboard access
Reduction of central performance team from six staff to two through automation
Enablement of consistent predictive forecasting to inform clinic capacity planning and staffing allocation
Integration of SIMD and protected characteristic segmentation to support proactive inequality-focused interventions
Shift in performance culture from reactive oversight to collaborative, data-driven operational planning
What This Taught Me
Digital products create impact when they rebuild feedback loops between data and action. Through automating and structuring the underlying data flows, we unlocked predictive modelling across the programme - transforming static reporting into operational intelligence.
Co-creation was critical. Built from direct user feedback and iterated at pace, the dashboard became something teams wanted to use rather than something imposed upon them.
This experience reinforced that effective product management sits at the intersection of user trust, technical clarity, and organisational integration. When those elements align, adoption accelerates and behaviour shifts with measurable impacts on health outcomes.
