Why has the average processing time for Financepeer's education loan applications increased from 3 days to 7 days over the past two weeks?

Introduction

The recent increase in Financepeer's education loan application processing time from 3 to 7 days is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and users.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to resolve the issue and prevent future occurrences.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent system update. Has there been any significant change to our loan processing system in the past month?

Why it matters: System changes often impact processing times. Expected answer: Yes, a new credit scoring algorithm was implemented. Impact on approach: If confirmed, we'd focus on the new algorithm's performance and integration.

• Considering user segments, I'm curious if this increase is uniform across all applicant types. Are we seeing the same 7-day average for both new and returning borrowers?

Why it matters: Helps identify if the issue is user-specific or system-wide. Expected answer: The increase is more pronounced for new borrowers. Impact on approach: We'd investigate onboarding processes and first-time user experiences.

• Given the specific timeframe, I'm wondering about any changes in application volume. Have we seen a significant spike in loan applications over the past two weeks?

Why it matters: Sudden volume increases can strain processing capacity. Expected answer: Application volume has increased by 30%. Impact on approach: We'd focus on scalability and resource allocation.

• Considering potential data issues, I'm curious about our metric definition. Has there been any change in how we calculate or measure the "average processing time" in the last month?

Why it matters: Ensures we're comparing apples to apples. Expected answer: No changes in metric definition or measurement. Impact on approach: Confirms the issue is real and not a data anomaly.