Introduction
The decline in average order value (AOV) for Revel's self-service kiosk by 15% compared to the previous quarter is a significant issue that requires immediate attention. This metric is crucial for Revel's business performance and customer satisfaction. I'll approach this problem systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the scope helps isolate potential causes. Expected answer: Varied impact across locations/segments. Impact on approach: Focus on specific areas or broader systemic issues.
Why it matters: Recent changes could directly impact user behavior. Expected answer: Some UI tweaks or menu adjustments. Impact on approach: Investigate specific changes and their effects.
Why it matters: Distinguishes between fewer high-value orders or more low-value orders. Expected answer: Transaction volume has remained stable. Impact on approach: Focus on order composition rather than frequency.
Why it matters: Technical problems could deter users from completing larger orders. Expected answer: No significant technical issues reported. Impact on approach: Shift focus to user experience and product offering.
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