Introduction
The recent 15% drop in average order value for Talabat's restaurant deliveries is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the business.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact user behavior and order values. Expected answer: Yes, we updated the recommendation algorithm. Impact on approach: If confirmed, we'd focus on analyzing the new algorithm's performance.
Why it matters: Ensures we're comparing apples to apples and not dealing with a data anomaly. Expected answer: No changes in measurement or reporting. Impact on approach: If unchanged, we'd focus on external factors and user behavior.
Why it matters: Competitive pressures could be driving users to adjust their ordering habits. Expected answer: Some competitors have increased discounts. Impact on approach: We'd need to analyze our pricing strategy and value proposition.
Why it matters: Helps identify if this is a universal issue or specific to certain user segments. Expected answer: The drop is more significant among occasional users. Impact on approach: We'd focus on retention strategies for occasional users and analyze their behavior patterns.
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