Introduction
The sudden increase in customer support tickets related to Tend's savings account interest rates signals 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 ecosystem, user journey, and relevant metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive 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: Changes in interest rates directly impact customer expectations and satisfaction. Expected answer: Yes, we recently adjusted rates. Impact on approach: If confirmed, we'd focus on communication and transparency issues.
Why it matters: Different user segments may have different expectations or experiences. Expected answer: A mix, but skewing towards long-term customers. Impact on approach: We'd investigate potential gaps in communicating changes to existing customers.
Why it matters: Helps quantify the severity of the problem and prioritize our response. Expected answer: A 30-50% increase over normal levels. Impact on approach: A significant increase would warrant a more urgent and comprehensive response.
Why it matters: Changes in support processes could artificially inflate the number of tickets in this category. Expected answer: No significant changes to support processes. Impact on approach: If changes were made, we'd need to adjust our analysis to account for this shift.
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