At Notion, the Growth team is preparing a Q2 launch of a new AI-powered onboarding flow intended to improve activation for self-serve workspace signups. The project team includes 10 people: 4 engineers, 1 designer, 1 data scientist, 1 user researcher, 1 marketing manager, 1 engineering manager, and you as the PM. The launch is urgent because leadership has tied Q2 growth targets to a 5% lift in activated workspaces.
The VP of Growth wants to launch the full onboarding experience to 100% of new users by the end of the quarter. The Head of Support is concerned that the AI flow may increase confusion and ticket volume. The Engineering Manager wants to avoid adding scope because the team is already committed to a reliability migration in parallel. The Data Science lead believes the early experiment results do not support a full rollout.
You have 8 weeks until the committed launch date, a remaining discretionary budget of $75,000, and no approval for additional headcount. Engineering capacity is limited to 24 story points per sprint because 40% of backend time is reserved for the migration. The current experiment has run for 2 weeks on 15% of traffic and shows mixed results: activation is up 1.2%, but support tickets are up 9%, and performance latency is 180ms above target.