Introduction
The decline in new account openings for ICICI Bank's iWish Flexible RD savings product this quarter is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.
I'll begin by clarifying the problem, then rule out external factors before 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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps distinguish between cyclical trends and new issues. Expected answer: This decline is unusual for this quarter. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.
Why it matters: Identifies whether the issue is widespread or localized to certain user types. Expected answer: The decline is more significant among younger users. Impact on approach: Would focus on understanding the needs and behaviors of the most affected segments.
Why it matters: Helps pinpoint if recent changes could be contributing to the decline. Expected answer: A new onboarding flow was implemented last month. Impact on approach: Would scrutinize the new onboarding process and its potential impact on conversions.
Why it matters: Assesses if external market forces are influencing our performance. Expected answer: A major competitor launched a similar product with higher interest rates. Impact on approach: Would analyze our value proposition and competitive positioning.
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