I went straight into user segmentation and started listing features, which in hindsight was too fast.
Start by clarifying the goal of increasing engagement for Google Maps in the context of Flipkart's ecosystem, then segment users and identify key engagement metrics. Propose features or improvements that drive frequency and depth of usage, and prioritize based on impact and feasibility.
Pro tip: Tie your answer to Flipkart's business objectives, such as increasing GMV or customer retention, by showing how Google Maps engagement can drive cross-platform synergies (e.g., location-based shopping).
Ask clarifying questions to understand what 'engagement' means (e.g., DAU, session length, feature usage) and how Google Maps fits into Flipkart's strategy (e.g., partnership, integration).
Identify key engagement metrics (e.g., frequency of use, time spent, actions per session) and segment users (e.g., daily commuters, travelers, local explorers) to tailor solutions.
Brainstorm features or enhancements that address user needs and pain points, such as personalized recommendations, gamification, social features, or deeper integration with Flipkart services.
Use a prioritization framework (e.g., RICE) to evaluate ideas based on impact, effort, and alignment with goals, and suggest quick experiments to validate assumptions.
Define success metrics and a plan to measure the impact of implemented features, with a feedback loop for continuous improvement.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.