Saving £millions by transitioning to a mature live service
The Department for Education’s core funding service administers £83billion annually to 23,000 education providers. This equates to £1 in every £10 of taxpayers’ money running through the service. Accurate, secure and timely payments are mission critical.
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The challenge
A 15% budget cut forced the leadership team to consider an alternative operating model.
A series of long-standing challenges plaguing the digital service deemed it financially and operationally unsustainable.
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Heavy reliance on expensive, day rate contractors to support and maintain the service (80% of teams, compared to 20% permanent staff)
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Lack of senior management visibility and grip on what teams were doing and why
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Excessive time to onboard new funding lines and make changes to existing ones
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Internal DfE users employing ‘offline workarounds’ due to unmet needs
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Endlessly adding and improving product features with no agreed ‘end game’
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Pebble co-founder, Stephen Blackmore, was commissioned to design a leaner, cheaper digital service, without compromising the user experience.
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Specifically, a ‘run state’ operating model was to be explored. Also known as a ‘steady state’, the run state is equitable to GDS’s ‘live service’ – no longer in a never-ending beta, just a mature digital service meeting user needs through repeatable, predictable business as usual operations.
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The response
The design work was structured around five main themes:
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What could a run state look like, structurally and operationally?
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What are the benefits and indicative cost savings?
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How far away is the existing operating model away from a run state?
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What are the core constraints or blockers from achieving a run state?
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What needs to be done to move towards a run state?
To address each one, it was crucial to get a solid understanding of what existing product teams were doing, why they were working that way, and the supporting tooling and technical architecture.
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At its simplest, the assignment was structured around a standard research-analyse-options cycle. However, the complex nature of the digital service and the wider funding landscape demanded a deep and comprehensive examination to ensure design options were both credible and rooted in reality.
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Key supporting activities included:
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A maturity assessment of each product against 18 run state characteristics.
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An objective analysis of existing operational constraints limiting or restricting the service from operating in a cost efficient, lean manner. Constraints were either:
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Service variations – differences in how grants and funding lines are designed, delivered, changed and assured
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Working practices – including delivery methodologies, processes, governance, team structures and communication
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Technical architecture – including tools, products, software, networking, security components, data flows and integration points
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Creating a BAU (business as usual) framework to identify essential activity to support a run state
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Mapping core capabilities needed support BAU activity to help sketch out future roles and resource requirements
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The outcome
A two stage approach provided a clear path to achieving a financial and operational sustainable state without compromising user experience or introducing additional delivery risk. The primary differentiator between the two stages being implementation timescales and the scale of ambition.
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Target run state: 12-18 months.
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38% reduction in total team size (73 to 45)
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Decreasing reliance on managed services (70-50%)
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Removing all testing staff by switching to test driven development
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Creating a single, shared platform team to replace individual product-team capabilities (DevOps, tech architects)
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Stopping all non-essential development work
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Moving to more sustainable working practices
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Designing out unnecessary service variations
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Shifting to data driven architecture
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Stretch run state: 3-5 years
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64% reduction in total team size (73 to 26)
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Goal to move to 80-100% permanent staff
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The existing product landscape may change significantly, with some products radically redesigned or even removed
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Move from a product-based to a capability-based model
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Focus shifts from maintaining individual products to sustaining the core capabilities of the Funding Service - data collection, calculation, contracting, payment and communication
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A small, multi-disciplinary team maintains and improves the underlying platform and capabilities.
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Secured pilot reference customer
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Estimated savings from the target run state are expected to be in excess of £3 million per year. This far exceeds the initial 15% budget reduction. The additional savings will be invested into developing the proposed stretch run state.
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