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Product Management Root Cause Analysis Question: Investigating PowerSchool SIS gradebook module error rate increase during peak usage
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the increased error rate in PowerSchool's SIS gradebook module during peak usage hours?

Problem Solving Data Analysis Technical Understanding Education Technology SaaS Enterprise Software
Performance Optimization Root Cause Analysis EdTech Scalability Data Management

Introduction

The increased error rate in PowerSchool's SIS gradebook module during peak usage hours is a critical issue that requires 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 the context, then ruling out external factors before diving deep into the product's user journey, metric breakdown, and data analysis. From there, I'll form 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 this could be a load-related issue. Can you provide more details on what constitutes "peak usage hours" for the gradebook module?

Why it matters: Understanding usage patterns helps identify potential capacity issues. Expected answer: Peak hours are typically weekdays between 2-5 PM when teachers input grades after school. Impact on approach: If confirmed, we'd focus on scalability solutions during these specific time windows.

  • I'm curious about the error rate increase. Has there been a significant change in user behavior or system load recently?

Why it matters: This helps determine if the issue is due to a sudden change or a gradual degradation. Expected answer: There's been a 20% increase in concurrent users over the last month due to a new district onboarding. Impact on approach: If true, we'd need to investigate both scalability and onboarding processes.

  • Considering the nature of the product, I'm wondering about the specific types of errors being reported. Are they primarily data input errors, calculation errors, or system timeouts?

Why it matters: Different error types point to different root causes (e.g., UI issues vs. backend problems). Expected answer: The majority are system timeouts, with some data inconsistency errors. Impact on approach: This would lead us to focus on backend performance and data integrity checks.

  • I'm thinking about the gradebook module's dependencies. Have there been any recent changes to related systems or APIs that the gradebook interacts with?

Why it matters: Issues in dependent systems can cascade and manifest in the gradebook module. Expected answer: A recent update to the student information database was deployed last week. Impact on approach: If confirmed, we'd need to investigate the integration points and potential data sync issues.

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