I went straight for user segmentation and started talking about engagement metrics for emoticons, but halfway through I realized I hadn't asked any clarifying questions first.
Start by clarifying the product vision and target user segments, then evaluate each feature against impact on key metrics like engagement, retention, and monetization. Use a prioritization framework such as RICE or weighted scoring to compare emoticons vs. chat backup, and recommend a decision based on data and strategic alignment.
Pro tip: Acknowledge that emoticons and chat backup serve different user needs and time horizons—emoticons drive daily active engagement, while backup addresses retention and trust—so the decision hinges on which metric is the current bottleneck for growth.
Ask about the app's current objectives (e.g., growth, engagement, monetization) and primary user demographics. Different segments (e.g., teens vs. professionals) may value emoticons and backup differently.
Identify how each feature would move key metrics: emoticons might increase messages sent, daily active users, and virality; chat backup could improve retention, reduce churn, and increase trust.
Use a prioritization framework (e.g., RICE) to score each feature on reach, impact, confidence, and effort. Also consider strategic alignment—does backup support a broader push into security/privacy?
Evaluate technical complexity, potential privacy concerns with backup, and competitive landscape. Emoticons may be table stakes if competitors already have them.
Based on the analysis, recommend which feature to prioritize first, and suggest a phased approach (e.g., MVP for one, then the other) with clear success criteria and measurement plan.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.