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How can we explain the sudden 40% increase in negative feedback for Interview Kickstart's resume review feature in the last two weeks?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving User Experience EdTech Career Services SaaS Product Improvement Root Cause Analysis EdTech Customer Satisfaction User Feedback
Product Management Root Cause Analysis Question: Investigating sudden increase in negative feedback for resume review service

Introduction

The sudden 40% increase in negative feedback for Interview Kickstart's resume review feature over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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 there might have been a recent product update. Has there been any change to the resume review feature in the last month?

Why it matters: Recent changes could directly impact user experience. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If confirmed, I'd focus on the changes made in that update.

  • Considering the scale of the increase, I'm wondering about the sample size. What's the typical volume of resume reviews processed weekly?

Why it matters: Ensures the 40% increase is statistically significant. Expected answer: Around 1000 reviews per week. Impact on approach: A large sample would validate the significance of the issue.

  • Given the specificity of the feedback, I'm curious about its nature. What are the main themes in the negative feedback?

Why it matters: Helps pinpoint specific areas of user dissatisfaction. Expected answer: Complaints about longer wait times and less detailed feedback. Impact on approach: Would guide us to focus on specific aspects of the review process.

  • Thinking about user segments, has there been any change in the mix of users (e.g., more new users vs. returning users) in the past month?

Why it matters: Different user groups may have different expectations or experiences. Expected answer: No significant change in user mix. Impact on approach: If confirmed, we'd focus on changes affecting all users equally.

  • Considering potential system issues, have there been any reported technical problems or downtime in the last two weeks?

Why it matters: Technical issues could explain sudden negative feedback. Expected answer: No major reported technical issues. Impact on approach: If confirmed, we'd focus more on product and process changes rather than technical failures.

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Updated Jan 22, 2025