Introduction
To enhance the user experience of Grab's GrabFood in-app restaurant recommendations, we need to focus on personalization, relevance, and user engagement. I'll outline a strategic approach to improve this feature, considering user segments, pain points, and innovative solutions.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the baseline for improvement and potential data privacy considerations. Expected answer: Basic personalization based on order history and location. Impact on approach: Would focus on advanced AI/ML techniques for deeper personalization if data utilization is low.
Why it matters: Helps quantify the current effectiveness and potential impact of improvements. Expected answer: Around 15-20% conversion rate from recommendations. Impact on approach: Low conversion would prioritize relevance and trust-building features.
Why it matters: Influences whether we focus on acquisition or retention strategies. Expected answer: Mature market with slowing user growth but increasing order frequency. Impact on approach: Would emphasize personalization for retention and increasing order value.
Why it matters: Ensures our solution aligns with overall company objectives. Expected answer: Critical for increasing cross-platform engagement and user retention. Impact on approach: Would explore integration with other Grab services for a holistic solution.
Tip
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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