Introduction
The recent 30% drop in Fifth Third Bank's mobile check deposit feature usage is a significant concern that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and user experience.
I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: App updates can introduce bugs or UI changes that affect user behavior. Expected answer: Yes, there was an update about 6 weeks ago. Impact on approach: If yes, we'd focus on changes introduced in that update.
Why it matters: Helps identify if the issue is widespread or specific to certain users. Expected answer: The drop is more pronounced among users aged 50+. Impact on approach: If segmented, we'd investigate factors specific to the most affected groups.
Why it matters: Slower processing could discourage users from using the feature. Expected answer: No significant changes to backend systems. Impact on approach: If yes, we'd investigate the technical aspects of check processing.
Why it matters: Competitive pressures could be drawing users away. Expected answer: No major changes from competitors. Impact on approach: If yes, we'd need to consider how to differentiate our offering.
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