Introduction
The recent 15% drop in average order value for Getir's fresh produce 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: Helps identify if this is a sudden change or a gradual decline.
- Hypothetical answer: The drop occurred over the past 7 days.
- Impact: A sudden drop might indicate a specific event or change, while a gradual decline could suggest a broader trend.
- Why it matters: Ensures we're comparing apples to apples.
- Hypothetical answer: No changes in measurement or calculation methods.
- Impact: Confirms the issue is with actual performance, not data discrepancies.
- Why it matters: Helps narrow down potential causes and target solutions.
- Hypothetical answer: The drop is more pronounced among urban users aged 25-34.
- Impact: Focuses our investigation on factors affecting this specific demographic.
- Why it matters: Identifies potential internal factors causing the drop.
- Hypothetical answer: A new competitor-matching pricing algorithm was implemented last week.
- Impact: Suggests a possible link between pricing changes and the drop in average order value.
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