Introduction
The recent 15% decrease in average order value (AOV) for Scalapay's Pay Later option 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. We'll examine both internal and external factors, considering technical, user behavior, and market-related aspects to develop a comprehensive understanding of the problem.
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 can significantly impact purchasing behavior. Expected answer: The decrease occurred outside of major shopping seasons. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than quarter-over-quarter.
Why it matters: Identifying specific affected segments can help narrow down potential causes. Expected answer: The decrease is more pronounced among new users. Impact on approach: We'd focus on onboarding and first-time user experience if new users are disproportionately affected.
Why it matters: Product changes can directly impact user behavior and AOV. Expected answer: Minor UI changes were implemented, but terms remained the same. Impact on approach: We'd investigate the impact of UI changes on user decision-making if confirmed.
Why it matters: Competitive pressures can influence user choices and spending patterns. Expected answer: A major competitor launched an aggressive marketing campaign. Impact on approach: We'd analyze our market positioning and value proposition if competitive pressure is a factor.
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