Bringing Facebook's Rooms Video Chat to Instagram: Launch Decision and A/B Test Design

Rooms, a group video-chat feature, launched on Facebook three months ago. As a product manager at Meta, decide whether Rooms should also launch on Instagram, and explain how you would design an A/B test to measure whether the feature succeeds there. Assume Rooms lets someone open a group video-chat room and invite others into it. Only someone with a Facebook account can create a room, but anyone who has the room's link can join it, including people with no Facebook account. Facebook positions Rooms as a competitor to video-meeting tools such as Zoom and Microsoft Teams, and people use it to host events. ### Clarifying Questions - What do we know about Rooms' first three months on Facebook: how many people tried it, whether they came back, and which age groups used it most? - What should Rooms achieve on Instagram: more real-time conversation between friends, a defense against other video-chat products, or something else? - Where would Rooms appear in Instagram: direct messages and group chats, Live, profiles, or a new entry point? - Are there constraints for teenage users, such as who may invite them or join their rooms? ### Part 1 — Make the launch call Decide whether to bring Rooms to Instagram. Explain which evidence from the Facebook launch and which differences between Facebook and Instagram would drive your decision, and what would make you say no. ```hint Will Facebook's results transfer? Three months of Facebook data shows how Facebook users respond to Rooms. Ask which of those results would still hold given how Instagram's audience, social graph and existing messaging features differ. ``` #### What This Part Should Cover - A product and strategic rationale tied to Instagram's users and goals. - A critical reading of the Facebook evidence, including novelty and substitution for existing features. - Risks such as safety, cannibalization and cost, turned into explicit go or no-go criteria. - What account-free joining by link would mean on Instagram: a growth loop that brings in people who are not yet users, and a safety risk on an app with many teenagers. - Whether Rooms' role on Facebook, hosting events as an alternative to meeting tools, matches how Instagram users would use it. ### Part 2 — Design the A/B test Assume the launch goes ahead as a test. Design the experiment that measures whether Rooms succeeds on Instagram: the hypothesis, the unit of randomization, the metrics, the duration, and the rule you would use to decide. ```hint Rooms need more than one person A treated user's room is only useful if friends can join it. Think about what happens to the comparison when someone in the treatment group invites someone in the control group. ``` #### What This Part Should Cover - A randomization unit that accounts for network effects between users. - Primary, secondary and guardrail metrics, including effects on Instagram's existing features. - Sample size, duration, novelty effects and a launch decision rule set in advance. ### What a Strong Answer Covers - A clear recommendation with explicit conditions rather than a hedge. - Reasoning specific to Instagram's audience, follow graph, messaging and Live features instead of copying Facebook's case. - An experiment design that handles interference between users and the novelty effect. - Metrics that capture adoption, effects on the wider app and safety, linked back to the launch criteria. ### Follow-up Questions - The test shows strong Rooms usage but a drop in direct-message activity. Do you launch? - Usage peaks in the first week of the test and then falls. How do you tell novelty apart from a lasting effect? - If leadership would not allow a holdout after launch, how would you keep measuring Rooms' impact?