Introduction
The sudden 40% drop in customer satisfaction scores for Union Bank's online bill pay service over the past two weeks 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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: System changes often correlate with satisfaction drops. Expected answer: Yes, a minor update was pushed two weeks ago. Impact on approach: If confirmed, we'd focus on technical issues first.
Why it matters: Ensures the metric itself is reliable. Expected answer: No changes to data collection methods. Impact on approach: If changed, we'd need to reassess the validity of the 40% drop.
Why it matters: Helps isolate the problem to bill pay or indicates a broader issue. Expected answer: Other services are unaffected. Impact on approach: If isolated, we focus solely on bill pay; if not, we broaden our investigation.
Why it matters: Identifies if the issue is universal or specific to certain groups. Expected answer: The drop is consistent across segments. Impact on approach: If segmented, we'd tailor our solutions to specific user groups.
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