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Company focus

Credible

What factors are contributing to the sudden 30% decrease in click-through rates for Credible's personal loan comparison tool?

Prepared by NextSprints

12 mins
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Data Analysis Problem-Solving User Experience Optimization Fintech Personal Finance Comparison Platforms User Engagement Data Analysis Product Metrics Fintech Root Cause Analysis
Product Management Root Cause Analysis Question: Investigating sudden decrease in Credible's loan comparison tool click-through rates

Introduction

A sudden 30% decrease in click-through rates for Credible's personal loan comparison tool is a critical issue that demands immediate attention. This significant drop could impact user engagement, conversion rates, and ultimately, revenue. To address this problem, I'll employ a systematic approach to identify potential root causes, validate hypotheses, and develop both short-term fixes and long-term solutions.

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 this might be a recent change. When exactly did you first notice this 30% decrease?

Why it matters: Pinpointing the timeframe helps isolate potential causes. Expected answer: Within the last week or two. Impact on approach: A sudden drop suggests a specific trigger rather than gradual decline.

  • Considering user segments, I'm wondering if this affects all users equally. Have you noticed any differences in click-through rates across various user demographics or loan types?

Why it matters: Identifying affected segments can narrow down potential causes. Expected answer: The decrease is more pronounced in certain user groups or loan categories. Impact on approach: Segment-specific issues would require targeted solutions.

  • Given the significance of the drop, I'm curious about any recent changes. Have there been any updates to the comparison tool or related systems in the past month?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: A few minor updates were implemented recently. Impact on approach: Focus on recent changes as potential root causes.

  • Thinking about external factors, has there been any shift in the competitive landscape or market conditions for personal loans?

Why it matters: External factors can significantly impact user behavior. Expected answer: No major market shifts, but some competitors have launched new campaigns. Impact on approach: Consider both internal and external factors in the analysis.

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Updated Jan 22, 2025