Product teams are relying more on workflow completion metrics than on raw feature engagement
Completion, approval, and renewal signals are becoming the clearest proof that AI features are actually sticking.
By Writeble Editorial
Engagement metrics still matter, but they no longer explain enough on their own when AI features sit inside business workflows.
What teams are measuring instead
They are shifting attention toward completion rates, approval speed, and renewal evidence because those metrics map more directly to durable value.
Why this changes product roadmaps
It pushes product teams to think in terms of operating loops rather than feature surfaces.