Meta's Facebook Reels team is preparing a Q3 launch of a new AI-generated onboarding flow intended to increase first-week creator activation. You are the lead User Experience Researcher supporting a cross-functional pod of 11 people: 1 PM, 1 EM, 5 engineers, 1 designer, 1 data scientist, 1 content strategist, and you. The PM has already socialized the feature as a key launch for the half, and leadership expects a go/no-go recommendation in 10 business days.
Your just-completed mixed-methods study across 24 participants and a rapid unmoderated follow-up on 180 users found that the new flow increases setup completion but significantly reduces trust among new creators, especially for younger users who feel the AI suggestions are "fake" and "pushy." The PM disagrees with the interpretation and wants to launch on schedule, arguing that the activation metric matters more.
The PM wants to protect the committed launch date and avoid re-scoping. The Design Manager wants to preserve the current interaction model because the team has already finalized assets. The Engineering Manager is concerned about late changes causing code freeze risk. The Reels Director wants a clear recommendation tied to business impact and launch confidence.