Explore a sample rollout, compare team usage, and examine the interventions that support adoption.
Adoption, week 8
Weekly active users for Research Summarizer, pilot through embed.
Goal
Prove value with a small, willing group.
Primary lever
Hand-picked champions and white-glove onboarding
Start with the teams most likely to win. Sit with them, watch real use, fix friction fast.
Success is week eight, not launch day.
Capability proof
Service model
A staged rollout that moves an expert audience from launch to real use.
Intelligence layer
Tracks weekly active users by team and the adoption rate over the rollout.
Operational state
Holds the adoption curve, the stage plan, and the enablement artifacts together.
Human control
Each stage has an explicit lever and owner, with adoption visible to leaders.
Business value
Turns a launched AI tool into a used one, which is where the value is.
Adoption is treated as a staged change-management problem, not a launch event. The dashboard measures weekly active users by team so the question is whether experts keep using the tool, not whether they tried it once. The rollout sequences four stages, each with one primary enablement lever, and the kit holds the concrete artifacts that do the work: a contextual in-app nudge, a session outline tied to a real workflow, and a clear definition of what counts as active. The demo runs client-side over a precomputed synthetic dataset.