Introduction
The recent 15% drop in average order value (AOV) for Loblaw Digital's PC Express online grocery ordering platform is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the issue.
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: Seasonal variations could explain the AOV decrease. Expected answer: Yes, it's been compared and is still significant. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than month-to-month.
Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The drop is more pronounced in certain segments. Impact on approach: We'd tailor our investigation and solutions to the most affected segments.
Why it matters: Ensures we're not dealing with a data anomaly or measurement error. Expected answer: No changes in measurement systems. Impact on approach: If there were changes, we'd need to audit our data collection and processing first.
Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A few minor updates, but nothing major. Impact on approach: If major changes occurred, we'd focus on their potential impact on AOV.
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