Introduction
The recent 15% drop in Snyk's Code adoption rate among enterprise customers is a concerning trend that requires immediate attention and a thorough root cause analysis. As we delve into this issue, we'll systematically examine potential factors, generate data-driven hypotheses, and develop a comprehensive plan to address the underlying causes.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Product changes can significantly impact adoption rates. Expected answer: Yes, there was a major UI overhaul. Impact on approach: If confirmed, we'd focus on user experience and change management.
Why it matters: Changes in sales approach can affect adoption rates. Expected answer: No significant changes in the sales team or strategy. Impact on approach: If confirmed, we'd shift focus to product-related factors.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, we can rule out measurement issues and focus on actual usage patterns.
Why it matters: Competitive pressures can impact adoption rates. Expected answer: Some competitors have introduced new features. Impact on approach: If confirmed, we'd need to assess our product positioning and feature set.
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