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Company focus

Apna

Why has the average session duration for Apna's skills assessment tests declined by 25% since the latest app update?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving User Experience EdTech Job Platforms Skills Assessment User Engagement Product Metrics Root Cause Analysis EdTech App Performance
Product Management Root Cause Analysis Question: Investigating declining user engagement in skills assessment app

Introduction

The recent 25% decline in average session duration for Apna's skills assessment tests following the latest app update is a critical issue that demands immediate attention. This significant drop in user engagement could have far-reaching consequences for the platform's effectiveness and user satisfaction. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 could be related to the app update. Can you confirm when exactly the update was released and if the decline started immediately after?

Why it matters: Establishes a clear timeline and potential correlation. Expected answer: Update released on [date], decline observed within [timeframe]. Impact on approach: Helps narrow down potential causes related to the update.

  • I'm curious about the nature of the update. Were there any significant changes to the user interface or test structure in this release?

Why it matters: Identifies potential user experience issues. Expected answer: Details on UI changes or test structure modifications. Impact on approach: Focuses investigation on specific areas of change.

  • Considering user segments, has this decline been uniform across all user groups, or are certain demographics more affected?

Why it matters: Helps identify if the issue is universal or specific to certain users. Expected answer: Breakdown of impact across different user segments. Impact on approach: Tailors solution to most affected groups if segmentation exists.

  • I'm wondering about the overall completion rates. Has there been a change in the percentage of users completing the tests, or just in the time spent?

Why it matters: Distinguishes between engagement and completion issues. Expected answer: Data on completion rates before and after the update. Impact on approach: Determines if focus should be on keeping users engaged or helping them complete tests faster.

  • Thinking about external factors, have there been any changes in the job market or industry demands that might influence user behavior with skills assessments?

Why it matters: Considers broader context that might affect user motivation. Expected answer: Information on relevant market trends or industry shifts. Impact on approach: Helps differentiate between product issues and external influences.

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NextSprints

Updated Jan 22, 2025