Introduction
The sudden 50% increase in customer support ticket volume for Autodesk Revit over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to not only resolve the current surge in support tickets but also to implement measures that prevent similar issues in the future and improve overall product performance.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with support ticket increases. Expected answer: Yes, a major update was released three weeks ago. Impact on approach: If true, I'd focus on analyzing the changes in that update.
Why it matters: Helps identify if the issue is widespread or localized to a particular segment. Expected answer: The increase is primarily from enterprise users. Impact on approach: I'd investigate enterprise-specific features or workflows if this is the case.
Why it matters: Reveals patterns in the problems users are facing. Expected answer: UI changes, performance issues, and compatibility problems. Impact on approach: I'd prioritize investigating these specific areas in the product.
Why it matters: Ensures the increase isn't due to changes in measurement or categorization. Expected answer: No changes in ticket processing or categorization. Impact on approach: If there were changes, I'd need to re-evaluate the actual increase in ticket volume.
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