Give engineering a real product problem

Take one roadmap item and ask who needs it, what they are trying to accomplish, what happens today, and what evidence shows the problem matters. Look at support conversations, observed behavior, and commercial context. Keep individual requests visible without assuming that the loudest customer represents every user.

Write the intended outcome so several solutions could plausibly achieve it. “Allow account owners to understand why an invoice changed” leaves room for an explanation, a history view, or a corrected workflow. “Build an analytics dashboard” commits the interface before the underlying uncertainty has been examined.

Explain which choices the team can make. Can it change the interface, reduce scope, alter the sequence, question the proposed solution, or choose a different problem? A team that receives fixed scope and timing should not also be told it alone owns the customer outcome. Authority and accountability need to match.

Mandates vary by initiative. A regulatory deadline may constrain the outcome and time; an exploratory product area may permit substantial discovery. Make the actual boundaries clear rather than calling every team empowered. Revisit the mandate when new evidence changes the risk or the company’s priorities.

Discuss whether people need the result, can use it, will pay or otherwise support the business model, and whether the organization can build and operate it. Product, design, and engineering bring different evidence to these questions. Engineering should contribute feasible alternatives and operating constraints, not arrive only after a solution has been sold.

Reduce the most consequential uncertainty first. That might mean a customer conversation, a small prototype, a test of data availability, or an operational experiment. State what the learning activity should decide. Discovery that produces another backlog without changing a decision has not necessarily reduced the project’s risk.

Choose a measure that reflects the customer’s task and define the population and time window. Add guardrails for harm that the main measure could hide: support burden, reliability, cost, accessibility, or abandonment elsewhere in the journey. Record what result would lead you to continue, change, or stop.

After release, compare what happened with what you expected. A shipped feature is an opportunity to learn, not the end of product ownership. Keep customer feedback and operational evidence connected so the team can distinguish a weak idea from a good idea delivered with a usability or reliability problem.