What factors are causing the user engagement metrics for FiscalNote's EU Issue Tracker to decline steadily since last month?

Introduction

The steady decline in user engagement metrics for FiscalNote's EU Issue Tracker since last month is a critical concern 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 fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation with recent EU regulatory changes. Has there been any significant shift in EU policy landscapes that could affect our users' needs?

Why it matters: Changes in regulatory environment could directly impact the relevance of our tracker. Expected answer: Confirmation of recent policy shifts or stability. Impact on approach: If confirmed, we'd focus on content relevance and timeliness.

• Considering user segments, I'm curious about the engagement patterns across different types of users. Are we seeing uniform decline across all user segments, or is it more pronounced in specific groups?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: Breakdown of engagement metrics by user segments. Impact on approach: Targeted solutions for affected segments vs. broad changes.

• Thinking about product changes, have we recently rolled out any updates or new features to the EU Issue Tracker?

Why it matters: Recent changes could be directly linked to the engagement drop. Expected answer: Timeline of recent product updates or feature releases. Impact on approach: Focus on recent changes for potential rollbacks or improvements.

• Regarding data integrity, I'm wondering if there have been any changes to our analytics setup or engagement metric definitions?

Why it matters: Ensures we're not dealing with a data anomaly rather than a real engagement issue. Expected answer: Confirmation of consistent data collection and metric definitions. Impact on approach: If inconsistencies found, we'd prioritize data cleanup before further analysis.