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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
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.
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.
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.
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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