Introduction
The sudden 50% increase in support tickets for Avanade's Dynamics 365 implementation projects this month 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 our product and customers.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product, user journey, and metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.
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: Recent changes often correlate with support ticket spikes. Expected answer: Yes, a major update was released. Impact on approach: If yes, we'll focus on the update's features and rollout process.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is primarily in enterprise clients. Impact on approach: If concentrated, we'll dive deeper into that segment's unique needs and usage patterns.
Why it matters: Indicates whether this is a new issue or an exacerbation of existing problems. Expected answer: There's been an increase in performance-related tickets. Impact on approach: If there's a pattern, we'll focus our investigation on those specific areas.
Why it matters: Changes in support systems can sometimes create artificial spikes in metrics. Expected answer: No significant changes to support processes. Impact on approach: If changes were made, we'd need to factor that into our data analysis.
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