Why Your OKRs Aren't Changing Anything, and What to Fund Instead

Marty Cagan of SVPG calls this the most common problem when companies try to focus on outcomes: they assume they can move to outcomes without moving to the product model. OKRs are a goal-setting technique that grew out of that model. They assume empowered teams, real discovery, a product strategy and instrumented products. Without those conditions, OKRs are a label stuck on an output-driven roadmap.

The budget gives it away

The fastest way to tell whether a company is still output-driven is to look at its budget: annual project funding, dated feature lists and status reports on delivery. If money and capacity still flow to projects, the OKRs on top will follow the money. Funding is the money rule, OKRs are the goal-statement technique, and the roadmap is a view of outcomes over time. If any one of them is output-based, the others tend to follow it.

Allocation and funding are different things

- Outcome-based allocation spreads capacity across several outcome goals for the whole portfolio, then compares planned against actual allocation.

- Outcome-based funding releases resources to one product or initiative over time, as agreed outcome milestones are met.

Both only work when they are applied together across strategy, roadmapping, resourcing and monitoring.

Five failure patterns to look for

1. Key results that are deliverables, such as "Ship the v2 dashboard".

2. Initiatives chosen by stakeholders and handed down.

3. Solutions committed at planning time, before any discovery.

4. Budgets that stay annual and project-based regardless of OKR progress.

5. Outcomes a team cannot directly influence, such as a company-level revenue number. When a team owns a result it has no lever for, accountability turns into blame, and people retreat to counting outputs.

What to do instead

Rewrite key results as changes in customer behavior, with a baseline, a target and a date. "Launch one-click checkout" becomes "reduce checkout abandonment from 70% to 55% by the end of the quarter" (illustrative numbers). The outcome version is harder to write because it needs a way to measure. If the product can't show whether the number moved, instrumentation comes before the OKR.

Then change the rhythm around it. Leaders set a small number of company objectives and the problems most worth solving. Teams propose outcome-style key results they can influence, run discovery on candidate solutions, and bring evidence rather than feature lists. Mid-quarter reviews look at outcome movement and what was learned, not delivery status. At quarter end, leaders reallocate capacity and release or hold funding based on evidence.

A simple test

If fewer than four of these six conditions hold, fix the operating model before blaming the OKR template:

- Key results are outcomes, not delivery milestones.

- Teams, not stakeholders, choose the initiatives.

- Discovery happens before commitment to a solution.

- Progress is reviewed on evidence at a regular cadence.

- Objectives and results can change when evidence changes.

- Funding and capacity respond to progress against key results.

The takeaway

OKRs are not the problem, and dropping them is not the fix. Diagnose first. If teams have no say in solutions and no discovery, fix those, then use OKRs to state outcomes clearly. And if you want a quick signal that the change is real, watch where the money goes.

Originally published at Product Leaders Day India: https://productleadersdayindia.org/blogs/ai-driven-product-operating-model/outcome-based-funding-and-allocation.html

The full guide includes templates, a worked example and a governance cadence.

About the author: Ayush Bisht is a Content Engineer and AI Tools Specialist at AgileWow, focused on scalable, AI-powered content solutions.