Introduction
The recent 15% drop in Kiavi's bridge loan approval rate over the last quarter is a concerning trend that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to 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: Seasonal trends could explain temporary fluctuations. Expected answer: No significant seasonal correlation observed. Impact on approach: If seasonal, we'd focus on cyclical adjustments; if not, we'd investigate internal factors more deeply.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in calculation methods. Impact on approach: If calculation methods changed, we'd need to standardize metrics before further analysis.
Why it matters: External factors could be driving the change. Expected answer: Some market shifts, but not enough to fully explain the drop. Impact on approach: If market-driven, we'd focus on competitive positioning; if not, we'd prioritize internal processes.
Why it matters: Internal policy changes could directly impact approval rates. Expected answer: Minor tweaks, but no major overhauls. Impact on approach: Significant changes would prompt a review of new criteria; minor changes would lead us to look at implementation and training.
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