An investment firm's AI research-summarization tool shows strong short-term adoption, but leadership wants to know whether it will continue delivering value as it scales to more teams. Which combination of practices best supports this?

Confirming that value continues as a tool scales requires both ongoing feedback and metrics tracked across successive periods, which is what quarterly tracking of analyst time saved and report quality, paired with continuous user feedback, provides. Relying exclusively on the number of active licenses purchased substitutes a procurement metric for a value metric — the number of licenses bought reflects a purchasing decision, not whether the tool is actually being used effectively or delivering results for analysts. Tracking only the original pilot team's feedback made sense during the pilot, but it misses the broader signal needed once the tool scales to teams with different workflows and needs, since the pilot team's deep familiarity doesn't represent the newer users' experience. A single retrospective survey conducted once, at the one-year anniversary, checks in too infrequently to satisfy a requirement for continuous feedback, and it would miss problems or gains that develop and fade in between that single annual checkpoint. The operating principle: tracking long-term value as an initiative scales requires feedback and metrics that are both continuous and representative of the full user base, not a single snapshot, a proxy metric, or a narrow group. Operational check: does the measurement plan capture input from users added after the original pilot, on a recurring schedule?