Introduction
A sudden 30% increase in returns for Gymshark's men's workout tanks signals a critical product issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution 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: Pinpointing the timeframe helps isolate potential causes. Expected answer: Within the last month. Impact on approach: A sudden spike suggests a specific trigger rather than a gradual trend.
Why it matters: Identifies whether the issue is universal or specific to certain groups. Expected answer: Returns are higher among new customers. Impact on approach: Focus on onboarding and product expectations for new users.
Why it matters: Recent changes could directly correlate with the increase in returns. Expected answer: A new fabric was introduced two months ago. Impact on approach: Investigate the new fabric's performance and user feedback.
Why it matters: Changes in policy could affect return behavior. Expected answer: No recent changes to the return policy. Impact on approach: Rules out policy changes as a direct cause.
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