Introduction
The recent 15% decrease in Snowflake's data sharing feature usage among enterprise customers is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for our product strategy.
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: Ensures we're comparing apples to apples. Expected answer: No changes in measurement or definition. Impact on approach: If changed, we'd need to reassess the actual impact.
Why it matters: Helps pinpoint if it's a global issue or segment-specific. Expected answer: Varied impact across segments. Impact on approach: Would focus on most affected segments first.
Why it matters: Could reveal direct causality with recent changes. Expected answer: Some updates in the past month. Impact on approach: Would investigate the impact of these specific changes.
Why it matters: External factors could be influencing customer behavior. Expected answer: Some new features launched by competitors. Impact on approach: Would analyze our positioning and feature set against competitors.
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