Pick a north-star metric and guardrails for Facebook Live in its growth stage

You are a product manager for Facebook Live, the feature that lets people, Pages and groups stream video in real time while an audience watches, comments and reacts. Live is past its launch and is now in its growth stage. How would you define success at this stage, and which metrics would you track? ```hint Let the stage pick the goal Ask what a growth-stage product has to prove that it did not have to prove at launch, and remember that a live stream only creates value when a broadcaster and viewers are present at the same moment. ``` ### Clarifying Questions - Should success be measured for broadcasters, viewers or both sides of the live experience, and is one side currently the bottleneck? - Does "growth stage" mean the priority is wider adoption and repeat use, with monetization such as in-stream ads or paid fan support deliberately secondary for now? - Which surfaces are in scope: live video in the feed, Groups, Pages, events or a dedicated video tab, and on mobile only or on web as well? - Is there a known concern the metrics must protect, such as harmful live content or poor stream quality on weak connections? ### What a Strong Answer Covers - A goal tied explicitly to the growth stage, distinguished from launch-stage awareness metrics and maturity-stage monetization metrics. - A journey or action map for both broadcasters and viewers, from discovery and first use through repeat use. - One clearly defined north-star metric, a reason it reflects real value for both sides, and a few input metrics that drive it. - Guardrails for content safety, stream quality, notification fatigue and cannibalization of other time spent on Facebook. - Segmentation and a plan for interpreting metrics that move in conflicting directions. ### Follow-up Questions - Your north star rises 15 percent, but almost all of the gain comes from the largest broadcasters. Is that success, and what would you check? - Live watch time grows while total time on Facebook stays flat. How would you tell healthy substitution from cannibalization? - How would your metric set change once Live reaches its maturity stage?