Introduction
The 15% decrease in average transaction value for Square Online stores over the past quarter 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 this 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: Establishes the timeline for analysis and helps identify potential external factors.
- Hypothetical answer: The decrease occurred over the last 3 months.
- Impact: Narrows the focus to recent changes and seasonal effects.
- Why: Changes in product mix could directly affect average transaction value.
- Hypothetical answer: No significant changes in product mix have been reported.
- Impact: Directs focus to other potential causes if product mix is stable.
- Why: Identifies whether the issue is widespread or concentrated in specific areas.
- Hypothetical answer: The decrease is more pronounced in small to medium-sized retail businesses.
- Impact: Guides the investigation towards factors affecting these specific segments.
- Why: Platform changes could influence user behavior and transaction values.
- Hypothetical answer: A minor UI update was implemented 2 months ago.
- Impact: Considers potential unintended consequences of recent platform changes.
- Why: Ensures the observed decrease is not due to measurement changes.
- Hypothetical answer: No changes in definition or calculation methods.
- Impact: Confirms the validity of the metric and focuses on actual performance issues.
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