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Company focus

Collibra

Why has user engagement with Collibra's Data Lineage feature decreased by 30% since the latest platform update two weeks ago?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Data Management Enterprise Software Regulatory Compliance User Engagement Performance Optimization Root Cause Analysis B2B SaaS Data Governance
Product Management Root Cause Analysis Question: Investigating sudden drop in Collibra's Data Lineage feature engagement

Introduction

The recent 30% decrease in user engagement with Collibra's Data Lineage feature following the latest platform update is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product itself. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to validate our findings and implement 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 there might be a correlation between the platform update and the engagement drop. Could you confirm if any significant changes were made to the Data Lineage feature itself during this update?

Why it matters: This helps us focus on whether the issue is directly related to changes in the feature or if it's a broader platform problem. Expected answer: Yes, there were changes to the Data Lineage feature. Impact on approach: If yes, we'll prioritize examining those specific changes; if no, we'll look at broader platform issues.

  • Given the substantial 30% decrease, I'm wondering about the user segments affected. Has this decline been uniform across all user types, or are certain segments more impacted?

Why it matters: This helps us identify if the problem is universal or specific to certain user groups. Expected answer: The decline varies across user segments. Impact on approach: If varied, we'll focus on the most affected segments; if uniform, we'll look at platform-wide issues.

  • Considering the possibility of data anomalies, has there been any change in how engagement is measured or in the systems tracking this metric in the past two weeks?

Why it matters: This helps rule out measurement errors as a cause of the apparent decline. Expected answer: No changes in measurement methods or systems. Impact on approach: If there were changes, we'd need to validate the data first; if not, we can focus on actual usage patterns.

  • Given that Data Lineage is often critical for data governance, I'm curious about any changes in regulatory requirements or industry standards that might have occurred recently. Are you aware of any such changes?

Why it matters: External factors could influence how users interact with the feature. Expected answer: No significant regulatory changes. Impact on approach: If there were changes, we'd need to consider compliance-related factors; if not, we can focus more on internal and user-centric issues.

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NextSprints

Updated Mar 29, 2025