Introduction
The sudden 30% increase in customer service calls related to BBVA's online bill pay feature this quarter 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.
To tackle this problem, I'll follow a structured approach:
- Clarify the situation
- Rule out external factors
- Understand the product and user journey
- Break down the metric
- Gather and prioritize data
- Form hypotheses
- Conduct root cause analysis
- Validate findings and propose next steps
- Present a decision framework
- Outline a 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 spikes in customer service calls. Expected answer: Yes, there was a UI update two weeks ago. Impact on approach: If confirmed, we'd focus on the UI change as a primary factor.
Why it matters: This helps identify if the issue is widespread or localized to a particular segment. Expected answer: The increase is seen across all user segments. Impact on approach: A widespread issue would suggest a systemic problem rather than a segment-specific one.
Why it matters: Understanding the nature of complaints helps narrow down potential root causes. Expected answer: Difficulty in setting up new payees, payment failures, and confusion about new UI elements. Impact on approach: This would guide our focus on specific areas of the bill pay process for investigation.
Why it matters: Technical issues often manifest as increased customer service calls. Expected answer: There's been a 15% increase in server response time during peak hours. Impact on approach: This would shift our focus to backend performance issues as a potential root cause.
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