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Company focus

Esusu

Why has the average credit score improvement for Esusu's financial stability users decreased from 40 points to 25 points this quarter?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking FinTech Credit Services Financial Inclusion Data Analytics Root Cause Analysis User Behavior FinTech Credit Reporting
Product Management Root Cause Analysis Question: Investigating credit score improvement decline for Esusu users

Introduction

The recent decrease in average credit score improvement for Esusu's financial stability users from 40 points to 25 points this quarter is a concerning trend that requires immediate attention. As we analyze this product issue, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

Our approach will involve clarifying the context, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering relevant data, forming hypotheses, conducting root cause analysis, and proposing validation methods and solutions. This structured process will ensure we thoroughly investigate the problem and develop effective strategies to address it.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might have been recent changes to the product or user base. Have there been any significant updates to Esusu's financial stability features in the past quarter?

Why it matters: Recent changes could directly impact user behavior and credit score improvements. Expected answer: Yes, we introduced a new budgeting tool. Impact on approach: If confirmed, we'd focus on analyzing the new feature's impact on user engagement and credit behaviors.

  • Considering user segments, I'm curious about the composition of our user base. Has there been a shift in the demographics or financial profiles of new users joining the platform recently?

Why it matters: Changes in user composition could explain the decrease in average improvement. Expected answer: We've seen an increase in users with lower initial credit scores. Impact on approach: This would lead us to investigate how different user segments are performing and potentially tailor our strategies accordingly.

  • Thinking about external factors, I'm wondering about the broader economic context. Have there been any significant changes in the credit reporting landscape or economic conditions that might affect credit scores across the board?

Why it matters: External factors could be influencing credit scores independently of our product. Expected answer: There have been some changes in credit reporting practices. Impact on approach: We'd need to adjust our analysis to account for these external changes and possibly recalibrate our expectations.

  • Considering the measurement itself, I'm curious about our data collection and analysis methods. Has there been any change in how we calculate or track credit score improvements?

Why it matters: Ensures we're comparing apples to apples across quarters. Expected answer: No changes in calculation methods. Impact on approach: If there were changes, we'd need to re-evaluate our historical data for accurate comparison.

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NextSprints

Updated Mar 29, 2025