I spent the first minute just trying to figure out what 'inactive' even means here, which was probably the right instinct but I fumbled the segmentation part.
Start by clarifying the definition of 'inactive' and the business impact, then segment the inactive users to identify patterns and root causes. Propose a structured investigation plan that combines data analysis, user research, and hypothesis testing to determine whether to re-engage, sunset, or ignore this cohort.
Pro tip: Frame the investigation around the potential revenue and retention opportunity: even small re-engagement rates can translate to millions in incremental revenue, but also consider the cost of re-engagement and the possibility that these users are not worth pursuing.
Define what 'inactive' means (e.g., no login in 30 days, no content watched) and confirm the business impact (e.g., revenue at risk, churn).
Break down the 1M users by dimensions like acquisition channel, tenure, plan type, device, and geography to find patterns.
Compare inactive users to active ones on key metrics (e.g., content engagement, feature usage) and identify potential reasons for inactivity.
Conduct surveys or interviews with a sample of inactive users to understand their motivations and barriers.
Based on findings, propose targeted interventions (e.g., re-engagement campaigns, product changes) and estimate impact vs. effort.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.