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Product Management Root Cause Analysis Question: Investigating EdTech attendance system login decline
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Nextsprints

Updated Jan 22, 2025

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Why has LEAD School's student attendance tracking system shown a 15% drop in daily logins over the past month?

Data Analysis Problem-Solving Product Strategy EdTech SaaS K-12 Education
User Engagement Data Analysis Product Metrics Root Cause Analysis Edtech

Introduction

LEAD School's student attendance tracking system has experienced a 15% drop in daily logins over the past month, indicating a significant issue that requires immediate attention. 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 implications for the product.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the timing, I'm wondering if there have been any recent changes to the attendance tracking system. Have any updates or new features been implemented in the last 1-2 months?

Why it matters: Recent changes could directly impact user behavior and system performance. Expected answer: Information about recent updates or lack thereof. Impact on approach: If changes were made, we'd focus on those specific areas; if not, we'd look at broader issues.

  • Given the 15% drop, I'm curious about the distribution of this decline. Is the drop consistent across all user segments (e.g., grades, schools, regions), or are certain groups more affected?

Why it matters: Helps identify if the issue is systemic or localized to specific user groups. Expected answer: Data on login decline distribution across segments. Impact on approach: Targeted investigation for affected segments vs. system-wide analysis.

  • Thinking about external factors, has there been any change in school schedules or policies that might affect daily attendance tracking?

Why it matters: External policy changes could explain the login decrease. Expected answer: Information on any relevant policy or schedule changes. Impact on approach: If external factors are involved, we'd need to adapt our system accordingly.

  • Considering user behavior, has there been any change in how teachers or administrators are expected to use the system for attendance tracking?

Why it matters: Changes in usage requirements could affect login patterns. Expected answer: Details on any new guidelines or expectations for system use. Impact on approach: If usage guidelines have changed, we'd need to assess their impact and potentially revise them.

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