Introduction
The 30% increase in customer support tickets for OPN's Fulfillment service in the last quarter is a concerning trend that requires 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 issue by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and relevant metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a structured plan for validation and resolution.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonality could explain the increase and inform our approach. Expected answer: Order volumes are up 15% year-over-year, but not significantly different from projections. Impact on approach: If seasonal, we'd focus on scaling support; if not, we'd look deeper into product issues.
Why it matters: This helps us identify if the issue is universal or segment-specific. Expected answer: The increase is primarily seen in small to medium-sized business accounts. Impact on approach: A segment-specific issue would lead us to investigate unique needs or recent changes affecting that group.
Why it matters: Recent changes often correlate with support ticket increases. Expected answer: A new inventory management feature was rolled out to SMB accounts six weeks ago. Impact on approach: This would shift our focus to the new feature and its implementation.
Why it matters: This helps identify if we're dealing with new problems or an increase in existing ones. Expected answer: There's been a 50% increase in tickets related to order tracking and status updates. Impact on approach: We'd focus on the order tracking system and related user interfaces.
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