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Product Management Root Cause Analysis Question: Investigating Databricks Delta Lake adoption decline among enterprise customers

Why has the adoption rate of Databricks' Delta Lake dropped by 30% among enterprise customers in the last quarter?

Data Analysis Problem Solving Strategic Thinking Big Data Cloud Computing Enterprise Software
Product Metrics Customer Retention Data Analytics Root Cause Analysis Enterprise Software

Introduction

The recent 30% drop in Databricks' Delta Lake adoption among enterprise customers is a significant concern that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to identify, validate, and address the root cause, considering both short-term and long-term implications for our product strategy.

Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of external factors, product understanding, metric breakdown, and hypothesis formation. We'll then conduct a root cause analysis, propose validation methods, and outline a comprehensive resolution plan.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • I'm noticing the specificity of the 30% drop. Has there been any change in how we measure Delta Lake adoption?

Why it matters: Ensures we're working with accurate data. Expected answer: No changes in measurement methodology. Impact on approach: If changed, we'd need to reassess our baseline metrics.

  • Given the enterprise focus, are we seeing similar trends across different industry verticals or company sizes?

Why it matters: Helps identify if the issue is sector-specific or widespread. Expected answer: Varied impact across sectors. Impact on approach: Would guide our investigation towards sector-specific factors if applicable.

  • Have there been any significant changes to Delta Lake's pricing or licensing model in the last quarter?

Why it matters: Pricing changes could directly impact adoption rates. Expected answer: No major changes implemented. Impact on approach: If yes, we'd focus on pricing elasticity and competitive positioning.

  • What's the typical onboarding timeline for enterprise customers, and has this changed recently?

Why it matters: Longer onboarding could delay adoption metrics. Expected answer: No significant changes to onboarding process. Impact on approach: If changed, we'd investigate onboarding efficiency and support resources.

  • Have we released any major updates or feature changes to Delta Lake in the past quarter?

Why it matters: New features or changes could impact user experience and adoption. Expected answer: Some updates, but nothing considered major. Impact on approach: If yes, we'd scrutinize the impact of these changes on user behavior and satisfaction.

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