Introduction
The recent 15% decrease in average order value for fresh produce on HappyFresh 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 our product and 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: Information about recent product updates or marketing campaigns. Impact on approach: If changes were made, we'd focus on analyzing their specific effects.
Why it matters: Ensures we're comparing apples to apples and not dealing with a data anomaly. Expected answer: Confirmation of consistent measurement methods. Impact on approach: If there were changes, we'd need to re-evaluate our historical data.
Why it matters: Different user segments may have varying purchasing behaviors. Expected answer: Information on user segment shifts or new acquisition channels. Impact on approach: If there are changes, we'd focus on analyzing the impact of these new user segments.
Why it matters: External factors could be influencing customer purchasing decisions. Expected answer: Information on supply chain challenges or seasonal trends. Impact on approach: If present, we'd need to consider these external factors in our analysis and solutions.
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