Fund persistent product and platform teams, not just temporary projects. Give each team a defined area of ownership, a capacity-based funding envelope, a prioritized backlog and authority to make bounded decisions. Then review outcomes, demand, reliability and risk on a regular cadence so leaders can redirect investment when evidence or strategy changes.
This model changes how technology investment is governed; it does not remove financial accountability, eliminate project controls or make every initiative a product.
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What product-based IT funding means
In a product-based model, money follows an enduring product, service or platform capability. A stable, cross-functional team remains responsible for that area over multiple planning cycles. Its work can include new features, defect correction, security, technical-debt reduction, reliability and operational improvements. The team is funded for capacity and accountable for outcomes rather than being dissolved when a single scope document is delivered.
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The CIO article Creating a new funding model for product-based IT (February 21, 2020) describes the motivation: in a conventional project process, requirements are handed to IT, an estimate is produced, a budget and schedule are approved, and delivery proceeds against that baseline. Estimates often precede full understanding; changes can trigger burdensome controls; and annual allocations may continue even after priorities or market conditions have shifted. Product funding addresses those weaknesses with durable ownership and regular reprioritization, while retaining review of results.
Project budgets and product budgets: the practical difference
| Decision area | Project-oriented funding | Product-oriented funding |
|---|---|---|
| Funding unit | A temporary project or program with a defined scope | A persistent product area or platform capability with an accountable team |
| Planning assumption | Requirements and estimates are set before execution | Direction is set through outcomes, a roadmap and a continuously prioritized backlog |
| Capacity | People are assembled for the approved project and may disperse afterward | A stable team preserves domain knowledge and operating responsibility |
| Change control | Scope changes usually require formal approval against the baseline | Product leaders can reprioritize within agreed portfolio and financial boundaries |
| Success measures | Cost, scope and schedule completion | User and business value, quality, reliability, delivery flow and other product-specific outcomes |
| Governance | Stage gates and milestone reporting | Periodic outcome, demand, dependency and risk reviews, with stronger gates where uncertainty or regulation requires them |
These are not mutually exclusive systems. UK government guidance on digital spend says outcome-based funding can operate alongside project and programme methods. Use product funding where a durable team can own a continuing service or capability. Retain project or programme governance for genuinely time-bounded work, major construction or procurement, regulated commitments, and initiatives that cross several product boundaries and need a single coordinated business case.
Design the funding model around ownership
1. Define products and platforms by enduring needs
Start with the user or business need, not the existing project-code list. A product boundary should identify a continuing service, customer journey or business capability with recognizable users and a reason to keep improving it. Assign a business owner and a technology owner, clarify which decisions they can make, and document dependencies with other teams.
Shared platforms deserve the same discipline. A developer platform, identity service, data capability or integration layer may serve many products. Microsoft Learn’s investment guidance (updated October 27, 2025) recommends treating a central platform team like a product team, with funding that reflects the value delivered to internal customers. AWS’s Cloud Adoption Framework likewise emphasizes autonomous, cross-functional teams focused on customer problems and measuring business value after releases. A platform backlog should therefore include usability, reliability, security and enablement work, not only infrastructure maintenance.
2. Set an explicit capacity envelope
Finance and portfolio leaders should agree how much capacity the team receives for a defined period, commonly a year, with the people, suppliers and run costs visible. The envelope is not a blank cheque: it is tied to a product mission, expected outcomes, constraints and reporting requirements. Make the cost of the team and its available capacity transparent so that leaders can compare investment with demand and results.
A multi-year business case can provide continuity while releases of funding remain conditional on evidence. UK public-sector guidance describes approved portfolios that hold a multi-year case while smaller initiatives receive flexible allocations and further funding is released as progress is demonstrated. This combines the stability needed for product ownership with safeguards against continuing weak investments.
3. Give bounded decision rights
Product leaders need authority to choose the next work item, rebalance feature, quality and technical-debt work, and respond to operational incidents. Define the boundaries in advance: spending limits, architecture standards, security controls, risk tolerances and outcomes that require portfolio approval. Leadership must resolve conflicts between teams, shared platforms and business units rather than sending every local trade-off through a central queue.
Atticus Tysen, Intuit’s CIO, was quoted during a 2019 panel in the CIO article saying, “We have to adapt with governance, with spending models, with prioritization.” The point is organizational: changing the label on a budget without changing authority and prioritization leaves the old operating model intact.
4. Maintain one backlog for value and health
A credible backlog represents all work needed to keep the product valuable and safe. Include customer capabilities, defects, resilience, security, compliance, technical-debt reduction, data quality and operational improvements. Set a capacity policy so that urgent incidents cannot permanently crowd out reliability work, and make trade-offs visible when demand exceeds capacity.
Choose a governance cadence that matches uncertainty
An annual funding decision can establish team continuity, but it should not freeze priorities for twelve months. The CIO article describes quarterly portfolio reviews in which business-unit leaders and the CIO examine results and the next-quarter roadmap, then continue, reshape or reallocate investment. A practical cadence is:
- Annual or multi-year planning: confirm the product mission, funding envelope, strategic outcomes, constraints and major dependencies.
- Quarterly portfolio review: inspect evidence of value, quality, reliability, demand, risk and capacity; decide whether to continue, redirect, increase or reduce investment.
- Monthly product review: resolve cross-team dependencies, review operational health and update the near-term roadmap.
- Continuous team prioritization: refine and order the backlog within the agreed boundaries.
Reviews should focus on outcomes and evidence rather than paper milestone completion. A low-risk enhancement can use proportionate oversight; a safety-critical, regulated or highly uncertain initiative may need formal gates, independent assurance or staged releases.
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Measure value without creating a universal scorecard
No single metric set fits every product. Define a small set of measures from the product’s intended value and include leading indicators, not only lagging financial results. The CIO article recommends business-value targets plus leading signs such as software quality and reliability. Microsoft identifies developer satisfaction as an indicator of platform improvement, while AWS calls for measuring business value after releases.
Depending on the product, useful measures may include:
- User and business outcomes: adoption, task completion, conversion, service effectiveness, revenue contribution or cost avoided where those are genuinely attributable.
- Customer experience: satisfaction, retention, support demand and time to complete important journeys.
- Operational health: availability, latency, incident frequency, recovery time, change failure rate and security findings.
- Delivery flow: lead time, throughput, backlog age and the proportion of capacity spent on unplanned work.
- Platform experience: developer satisfaction, onboarding time, reuse of shared capabilities and friction reported by consuming teams.
Use measures as decision evidence, not as targets that encourage gaming. A product with strong adoption but deteriorating reliability needs a different investment decision from one with low demand and healthy operations.
How to move from project budgets to product budgets
- Map the current estate. List products, services, platforms, projects, teams, suppliers, costs, users and critical dependencies. Identify areas that already have durable ownership and areas where ownership is fragmented.
- Choose a pilot with a willing business partner. Agree the funding period, team capacity, expected outcomes, decision rights and finance-reporting requirements. The CIO article recommends starting with the business unit that provides funding and securing continuing buy-in.
- Set a baseline. Make total team cost, available capacity, existing commitments, operational workload and current performance visible. Do not assume that every person assigned to a project is available for product work.
- Write the product contract. Record the mission, users, boundaries, accountable leaders, funding envelope, measures, risk limits, dependencies and escalation rules. State what the team may decide without further approval.
- Build and order the integrated backlog. Combine feature, defect, reliability, technical-debt, security and operational work. Estimate capacity realistically and expose items that cannot fit.
- Run the first quarterly review. Present evidence against outcomes, product and platform health, demand, risks and upcoming decisions. Reallocate funding when priorities or evidence have changed.
- Learn before scaling. Assess whether persistent ownership improved clarity, flow, reliability or value. Expand the model where it fits and retain project or programme controls where it does not.
Finance, accounting and controls to settle early
Product funding is an operating and governance choice, not a universal accounting treatment. Finance must determine how labor, vendors, cloud consumption, capitalizable development and operating costs are recorded under the organization’s policies and jurisdiction. Keep financial reporting compatible with existing controls while changing the management unit from a temporary project to a product or platform.
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Common failure modes and corrections
Renaming projects as products
If a team still disbands after a launch, has no operational responsibility or serves a one-time mandate, the new label has not created product ownership. Redraw boundaries around enduring needs and assign accountable leaders.
Keeping centralized approval for every decision
Excessive approval preserves project-era queues and slows learning. Set clear thresholds and risk controls, then let product leaders decide within them. Escalate only decisions that cross those boundaries or affect other teams.
Funding features while starving health
When reliability, security and technical debt are invisible, the backlog overproduces visible features and accumulates operational risk. Reserve explicit capacity and report quality and reliability alongside business outcomes.
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Making annual funding irrevocable
Stable teams need continuity, but conditions change. Pair the envelope with quarterly evidence reviews and the ability to redirect the next tranche or the next planning period.
Applying one model to every initiative
A continuing customer service, a shared platform and a fixed-date regulatory implementation have different risk and ownership needs. Use product funding for the first two where persistent teams can own outcomes; retain proportionate project or programme controls for the third.
A workable decision test
Before moving an area to product funding, ask:
- Will users or the business need this capability beyond one delivery milestone?
- Can one persistent team own its roadmap, operation and measurable outcomes?
- Are the boundaries and dependencies clear enough for that team to make useful decisions?
- Can leaders observe value, quality, reliability and risk at a regular review?
- Would a project or programme structure better fit a fixed date, procurement, regulation or cross-boundary dependency?
If the answers support durable ownership, fund the team and govern the outcomes. If not, keep the project structure or redesign the work before changing its budget label.
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