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Company focus

Veracode

Why has Veracode's Static Analysis scan completion rate dropped by 15% over the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Technical Understanding Cybersecurity Software Development DevOps Performance Optimization Root Cause Analysis DevSecOps Static Analysis Veracode
Product Management Root Cause Analysis Question: Investigating Veracode's Static Analysis scan completion rate drop

Introduction

The recent 15% drop in Veracode's Static Analysis scan completion rate over the past month is a concerning trend that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to identify, validate, and address 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 there might have been a recent product update. Has there been any significant change to the Static Analysis tool or its underlying infrastructure in the past 1-2 months?

Why it matters: Recent changes could directly impact scan performance. Expected answer: Yes, there was a major update to the scanning engine. Impact on approach: If confirmed, we'd focus on the update's impact on scan times and resource utilization.

  • Considering user behavior, I'm curious about any changes in the types or sizes of codebases being scanned. Have you noticed any shift in the characteristics of submitted code?

Why it matters: Changes in code complexity or size could affect scan completion rates. Expected answer: There's been an increase in larger, more complex projects. Impact on approach: We'd investigate if the tool is optimized for these new code characteristics.

  • Thinking about external factors, has there been any change in the number of concurrent scans or overall system load?

Why it matters: Increased demand could strain system resources and impact completion rates. Expected answer: Usage has increased by 20% in the last quarter. Impact on approach: We'd focus on scalability and resource allocation strategies.

  • Regarding user segments, I'm wondering if this drop is uniform across all customers or concentrated in specific groups. Can you provide any insight into which user segments are most affected?

Why it matters: Identifying affected segments could point to specific issues or use cases. Expected answer: Enterprise customers are experiencing a more significant drop. Impact on approach: We'd investigate enterprise-specific features or integrations.

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Updated Jan 22, 2025