I went straight to detection logic, device fingerprinting, concurrent session limits, that kind of thing.
Start by clarifying the business goal—whether the priority is preventing abuse, driving individual sign-ups, or both—and the product context (e.g., B2C vs. B2B, free vs. paid). Then propose a layered solution that combines detection, prevention, and incentives, and evaluate trade-offs between user friction, security, and growth. Conclude with metrics to measure success and iterate.
Pro tip: Emphasize that account sharing isn't always malicious—it can signal pricing or packaging issues. A mature PM balances enforcement with user experience, sometimes turning sharers into paying users through targeted incentives rather than hard blocks.
Ask questions to understand the business objective (e.g., revenue protection, user growth, security), the product type, and any technical or privacy constraints. This ensures your solution aligns with company priorities.
Brainstorm detectable signals of account sharing, such as concurrent logins from different locations, device fingerprinting, usage patterns, and IP analysis. Consider both technical and behavioral indicators.
Propose a mix of real-time prevention (e.g., session limits, device binding) and post-hoc detection (e.g., anomaly detection, manual review). Balance security with user friction.
Develop positive incentives for users to create their own accounts, such as personalized features, referral bonuses, or family plans. Consider pricing and packaging changes to make individual accounts more attractive.
Define success metrics (e.g., reduction in sharing, increase in individual sign-ups, revenue impact) and plan to A/B test interventions. Also, consider how to communicate policy changes to users to minimize backlash.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.