More Product Options Are Unpriced Inventory Until They Converge

Core point. AI expands product discovery faster than any product organization can validate what it finds: more prototypes, more market hypotheses, more roadmap alternatives. More options discovered is not more value delivered. It’s unpriced inventory, exactly as “AI Makes Drafts Cheap, So Finishing Is the Constraint” describes for engineering.

Discussion questions.

• Of everything in discovery, how much passed a real customer-value test, and how much exists only because prototyping got cheap?

• Which roadmap alternative are we betting on, and have we said so, or do we hold every option open past the point of honesty?

• What is our Portfolio Completion Rate for product initiatives, separate from engineering’s?

• Signal of success. Product reviews converge on a stated bet and set the named alternatives aside.

• Signal of failure. The roadmap has grown every quarter for a year and nothing material has left it.

• Common misconception. More prototypes tested means more rigorous discovery. Without convergence discipline, rigor becomes paralysis.

• Recommended intervention. Apply the two-sided test from “Prioritize Work by What It Earns for the Business” to roadmap alternatives, not just backlog tickets, before the next planning cycle.

• Warning sign. A roadmap review that opens more questions than it closes, quarter after quarter.

To run the test on a whole roadmap in one session, use the abundance audit.