In regulated and complex B2B environments, the currency of a product decision is not conviction. It is evidence — assembled, attributed, and defensible under scrutiny from procurement, audit, and the board. Product organizations that mature past their first hundred employees discover this the hard way: an unchallenged opinion is indistinguishable from a policy until the moment it fails.
The remedy is not more meetings or heavier process. It is a written evidence standard that establishes, per decision class, what qualifies as sufficient input: interview counts and provenance for discovery decisions, telemetry cohorts for prioritization, model evaluation coverage for AI-enabled features, and legal or compliance attestations for anything customer-visible in a regulated jurisdiction.
The purpose of the standard is not to slow the organization down. It is to remove the negotiation about what evidence is required, so debate can concentrate on interpretation. That single shift — from arguing about proof to arguing about meaning — is the difference between a product organization that operates and one that improvises.
Once codified, the evidence standard becomes the through-line across PRDs, ADRs, roadmap reviews, and RFP responses. It is also the artifact that gives auditors and enterprise buyers confidence that the organization does not depend on individual heroics. In the AI era, where model behavior can drift silently, this discipline is no longer a preference — it is a precondition for shipping.