Describe a framework for evaluating the impact of AI on a product's value proposition.

Example Answer

I would state the current promise to a specific user and the best alternative. For a document-review product, that might be finding consequential omissions with less total review effort. Establish a baseline using representative tasks and the current workflow.

Map each proposed AI enhancement to a testable improvement in that promise, including potential losses such as extra checking, unreliable explanations or inaccessible controls. Assess data rights, technical feasibility and operating cost before choosing a prototype.

Test task completion, important missed issues, total time including review, and users' ability to correct results. For example, reducing draft time from ten to six minutes adds no time benefit if required review rises from two to six minutes: both workflows take twelve minutes. Activity counts and enthusiastic feedback cannot replace that outcome comparison.

A prototype can establish usability and reveal failure modes. A suitable controlled pilot and commercial research provide stronger evidence about delivered benefit and willingness to pay. Report uncertainty and decide whether to expand, narrow or abandon the feature. The resulting value proposition should describe the demonstrated benefit and its supported conditions.