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Why product operating models fail

Most product operating model transformations fail not because the model is wrong, but because of how the change is implemented. Here is what organisations consistently get wrong — and what to do instead.

5 January 2025 · 4 min read

Every few years, a new wave of organisations announces a “transformation to product.” They restructure into product teams, hire a CPO, adopt product rituals, and declare themselves agile. Then, 18 months later, not much has changed. The work is still slow, the outcomes are still unclear, and the organisation is confused about why the transformation did not deliver.

This is remarkably common. And the failure patterns are almost always the same.

Failure pattern 1: Changing the structure without changing the incentives

Product operating models require teams to be accountable for outcomes, not output. But most organisations still measure and reward output: features shipped, velocity, on-time delivery, budget adherence.

When you tell teams to focus on outcomes but measure them on output, the output wins. Every time. People optimise for what gets them rewarded and recognised.

The fix is not complicated, but it requires leadership courage: change what you measure. Define team outcomes explicitly. Build dashboards that surface outcome progress, not just activity.

Failure pattern 2: Empowering teams without preparing leaders

Moving to a product operating model changes what leadership looks like. Instead of approving decisions and directing work, leaders need to set context, define outcomes, and then get out of the way.

Most leaders have been hired and promoted for their ability to make good decisions and drive execution. Asking them to step back from that feels counterintuitive — and uncomfortable.

Without deliberate leadership development, transformation programmes create a gap. Teams are theoretically empowered, but their leaders are still reviewing every decision, approving every roadmap item, and second-guessing every choice. The teams are not actually empowered. They have just added a new layer of bureaucracy on top of the old one.

Failure pattern 3: Adopting the rituals without the thinking

Stand-ups, retrospectives, product reviews, discovery sprints — these are all valuable practices. But they are expressions of a way of thinking, not the thinking itself.

Organisations that adopt rituals without developing the underlying thinking create the appearance of transformation without the substance. Teams go through the motions. Discovery happens because it is scheduled, not because the team genuinely believes it will change their decisions. Retrospectives produce action items that nobody follows up on.

The underlying thinking is: start with customer problems, validate assumptions before building, make decisions based on evidence, learn from small experiments. When teams genuinely think this way, the rituals help. When they do not, the rituals are theatre.

Failure pattern 4: Under-investing in the transition

Product operating model adoption is typically estimated as a programme of work, given a budget, and expected to be “done” within a timeline. But it is not a programme of work — it is a cultural change.

Cultural change happens at the speed of trust, learning, and experimentation — not at the speed of a project plan. Organisations that under-invest in the transition, treat it as a one-time event rather than an ongoing journey, or declare victory too early consistently find themselves reverting to old patterns under pressure.

What to do instead

The organisations that succeed with product operating model adoption share a few common characteristics:

  1. Senior leadership is visibly committed and understands what they are signing up for. Not just in words, but in behaviour — they model the new ways of working themselves.

  2. The change is incremental and evidence-based. They start with one or two teams, learn what works in their context, and expand deliberately.

  3. They invest in capability building, not just process change. Discovery skills, outcome thinking, data literacy, stakeholder communication — these are developed intentionally.

  4. They change the incentive structures. What gets measured and rewarded genuinely shifts.

  5. They are patient. Meaningful cultural change takes two to three years minimum. They plan for that, fund for that, and resist the pressure to declare success prematurely.

The model is not the problem. The approach to change usually is.

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