What factors are contributing to the 15% drop in user engagement for Slalom Build's custom data visualization dashboards since the latest update?

Introduction

The 15% drop in user engagement for Slalom Build's custom data visualization dashboards since the latest 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 fixes and long-term strategic implications.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and hypothesis generation. We'll then validate our findings and develop a comprehensive plan to resolve the issue and prevent future occurrences.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be related to the recent update. Can you confirm when exactly the latest update was rolled out?

Why it matters: Establishes a clear timeline for the issue. Expected answer: A specific date or timeframe. Impact on approach: Helps narrow down potential causes related to the update.

• I'm curious about the nature of the engagement drop. Is it uniform across all users, or are certain segments more affected?

Why it matters: Identifies if the issue is universal or specific to certain user groups. Expected answer: Details on affected user segments. Impact on approach: Guides focus on specific user groups or features if applicable.

• Considering the complexity of data visualization, I'm wondering if there have been any changes in the types of data sources or integrations available in this update?

Why it matters: Explores potential technical causes related to data handling. Expected answer: Information on any changes to data sources or integrations. Impact on approach: Directs attention to data-related issues if relevant.

• Given that engagement is our key metric here, can you clarify how exactly we're measuring engagement for these dashboards?

Why it matters: Ensures a clear understanding of the metric we're analyzing. Expected answer: Specific definition of engagement metrics used. Impact on approach: Helps focus on the most relevant user behaviors and interactions.

• I'm thinking about potential user feedback. Have we received any specific complaints or support tickets related to the new update?

Why it matters: Provides direct user insights into potential issues. Expected answer: Summary of user feedback or support ticket trends. Impact on approach: Guides investigation towards user-reported problems if present.