Build Your Product Operating Model Around Coordination Costs

The product industry is very good at distributing solutions. There are large newsletters full of advice, deep archives of product practice, ready-made strategy tools and a steady discussion about what product managers should own. At the same time, the technology news moves from new AI models to agents, privacy concerns, uncomfortable recommendations and platforms closing access to automated traffic.

Taken together, this creates a dangerous temptation: see a new problem, find a respected framework and copy the associated operating model.

I think that is backwards. A product operating model should be designed around the coordination costs inside the company, not around the practices currently receiving the most attention.

An operating model is not a collection of ceremonies. It is the answer to a practical question: where does work lose time, context or accountability as it moves through the organization?

That answer differs by company. A B2B product with long sales cycles may lose critical context between sales, product and implementation. A consumer product using recommendations may need much tighter coordination between data, design, support and legal because a technically correct output can still feel invasive. A company adding an AI assistant may discover that model quality is not its main constraint at all. The real constraint may be that nobody owns the combined customer experience across the model, interface and existing service.

Copying another company’s model can make these problems harder to see. Teams adopt the same titles, planning cadence and discovery vocabulary, but the expensive handoffs remain untouched. They become better at performing product work without becoming better at producing outcomes.

AI makes this mismatch more visible. Building a convincing prototype is becoming easier, while the number of functions needed to make it dependable can increase. Product, engineering, design, security, support, finance and commercial teams may all hold part of the information. Adding an “AI product manager” does not resolve that fragmentation. Neither does creating another review meeting. The question is which information must come together, at what moment, and who can act on it.

When I look at a product organization, I would rather start with the repeated delays than with the org chart. Where do teams wait for an answer? Which trade-offs are reopened because the right people were absent? Where does customer evidence get translated so many times that its meaning changes? Which issues repeatedly escalate to senior leadership because ownership is unclear?

Those patterns tell me more about the operating model we need than any generic description of product excellence.

If pricing questions repeatedly stall because product and finance work on different planning cycles, fix that connection. If engineering learns about commercial commitments after they have effectively been made, change when those functions meet and what must be shared. If customer support sees a trust problem before the product team does, create a direct route for that signal rather than adding another dashboard. The intervention should fit the coordination failure.

This does not mean established frameworks are useless. Common language can speed up onboarding, and templates can stop teams from starting with a blank page. But I treat them as components, not as a system. A roadmap format, product trio or strategy canvas only earns its place when it reduces a real cost in the way the company works.

The measure of an operating model is therefore not how closely it resembles a respected company or a popular article. It is whether the people with relevant knowledge can act together without unnecessary translation, waiting or escalation.

Product leaders should resist becoming collectors of practices. Our job is to understand the company well enough to design the connections it actually needs. The best operating model will often look less impressive from the outside because much of it is specific, unbranded and deliberately boring. That is usually a sign that it was built for the organization rather than imported into it.