Introduction
The sudden 30% spike in support tickets related to AvidXchange's AvidPay Network integration over the last 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 fixes and long-term strategic implications.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
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 sudden spikes in support tickets. Expected answer: Yes, there was a minor update. Impact on approach: If yes, I'd focus on that change as a primary hypothesis.
Why it matters: Helps narrow down if it's a universal issue or specific to certain users. Expected answer: It's primarily affecting enterprise customers. Impact on approach: If segmented, I'd tailor the investigation to that specific user group.
Why it matters: Identifies patterns in the reported issues. Expected answer: Login problems, transaction errors, and slow processing times. Impact on approach: Would guide the technical areas to investigate first.
Why it matters: Could indicate if it's a performance-related issue. Expected answer: Some slowdowns in transaction processing times. Impact on approach: If yes, would focus on backend systems and infrastructure.
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