Introduction
The recent increase in average funding time for Kiva's education loans in Southeast Asia from 7 to 12 days is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this issue.
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 patterns could explain temporary fluctuations. Expected answer: No clear correlation with academic calendars. Impact on approach: If unrelated to seasons, we'll focus more on internal factors.
Why it matters: Changes in user composition could affect funding dynamics. Expected answer: No significant changes in applicant demographics. Impact on approach: If consistent, we'll investigate other aspects of the funding process.
Why it matters: Stricter criteria could slow down the funding process. Expected answer: No major changes to approval criteria. Impact on approach: If unchanged, we'll look into other stages of the funding pipeline.
Why it matters: Technical issues could be causing delays in fund transfers. Expected answer: A minor update was implemented three weeks ago. Impact on approach: If confirmed, we'll prioritize technical investigations.
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