Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

Navi

Why has the average time spent on Navi's credit score checking feature decreased from 3 minutes to 1 minute per session in the last quarter?

Prepared by NextSprints

12 mins
Report an error
Data Analysis Problem-Solving User Experience Design FinTech Personal Finance Credit Monitoring Product Analytics Engagement Metrics Root Cause Analysis User Behavior FinTech
Product Management Root Cause Analysis Question: Investigating decreased time spent on Navi's credit score feature

Introduction

The sudden decrease in average time spent on Navi's credit score checking feature from 3 minutes to 1 minute per session in the last quarter is a significant shift that warrants thorough investigation. This analysis will systematically explore potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this change in user behavior.

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 a recent product update. Has there been any significant change to the credit score checking feature in the last quarter?

Why it matters: Product changes can directly impact user behavior and session duration. Expected answer: Yes, there was a UI redesign or feature enhancement. Impact on approach: If confirmed, we'd focus on analyzing the specific changes and their effects.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 1-minute average consistent across all user types, or are there variations?

Why it matters: Helps identify if the issue is universal or specific to certain user groups. Expected answer: There are variations among different user segments. Impact on approach: We'd prioritize investigating the most affected segments and tailor solutions accordingly.

  • Given the nature of credit scores, I'm wondering about the frequency of updates. Has there been any change in how often credit scores are refreshed or made available to users?

Why it matters: Update frequency could influence how often and how long users engage with the feature. Expected answer: No change in update frequency. Impact on approach: If unchanged, we'd focus more on user experience and value perception rather than data freshness.

  • Thinking about the broader context, have there been any changes in marketing campaigns or user onboarding that might have shifted user expectations or behavior?

Why it matters: External factors can significantly influence how users interact with the product. Expected answer: Some changes in marketing messaging or onboarding flow. Impact on approach: We'd examine the alignment between user expectations set by marketing and the actual product experience.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025