Introduction
A sudden 30% increase in customer support tickets related to Marshmallow's payment system is a critical issue that demands immediate attention and thorough analysis. This spike in support tickets not only indicates potential technical problems but also suggests a significant impact on user experience and customer satisfaction. In addressing this challenge, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by a methodical examination of potential causes, data analysis, hypothesis formation, and validation. Throughout this process, I'll prioritize user-centric thinking and cross-functional collaboration to ensure a comprehensive understanding of the issue and its resolution.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development, emphasizing data-driven decision-making and user impact assessment.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden spikes in issues. Expected answer: Yes, a minor update was deployed yesterday morning. Impact on approach: If confirmed, we'd focus on the changes made in that deployment.
Why it matters: Helps identify if the issue is systemic or limited to certain user groups. Expected answer: The increase is primarily seen in mobile app users. Impact on approach: We'd prioritize investigating mobile app-specific components of the payment system.
Why it matters: External dependencies can often be the source of payment-related issues. Expected answer: No reported issues from payment partners, but a new gateway was added last week. Impact on approach: We'd examine the integration with the new gateway and its potential impact.
Why it matters: Ensures we're not dealing with a data classification issue rather than an actual increase in problems. Expected answer: No changes to ticket categorization in the past month. Impact on approach: We'd focus on actual user-reported issues rather than potential data discrepancies.
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