Introduction
The recent 15% decrease in average order value (AOV) for Toast Online Ordering is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, validate hypotheses, and propose targeted solutions to address the AOV decline. We'll examine both internal and external factors, leveraging data-driven insights to develop a comprehensive action plan.
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 trends could explain the AOV drop and influence our solution approach. Expected answer: Yes, it's been compared and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and seasonal strategies.
Why it matters: Technical issues or UI changes could directly impact user behavior and order values. Expected answer: A minor update was rolled out two weeks ago. Impact on approach: We'd prioritize investigating the impact of the recent update on user experience and ordering patterns.
Why it matters: Identifying specific affected segments could point to targeted issues or changing user needs. Expected answer: The decrease is more pronounced among casual diners compared to frequent users. Impact on approach: We'd focus on understanding what's changed for casual diners and tailor solutions to their needs.
Why it matters: External pressures could be driving changes in consumer behavior. Expected answer: No major changes noted, but some new local competitors have emerged. Impact on approach: We'd analyze the impact of new competition on pricing and user preferences.
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