Why has the adoption rate of Looker's new dashboard filters declined by 15% among enterprise customers this quarter?

Introduction

The decline in adoption rate of Looker's new dashboard filters among enterprise customers by 15% this quarter is a concerning trend 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 and long-term implications for our product strategy.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this decline been observed in previous Q4 periods?

Why it matters: Seasonality could explain the drop and influence our approach. Expected answer: No, this is unprecedented for Q4. Impact on approach: If seasonal, we'd focus on Q4-specific factors; if not, we'd look at recent changes.

• Considering the specificity of the decline, I'm curious about the measurement. Has there been any change in how we calculate or track the adoption rate?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If changed, we'd scrutinize the new method; if not, we'd focus on actual usage patterns.

• Given the enterprise focus, I'm wondering about our customer base composition. Have we onboarded a significant number of new enterprise customers recently?

Why it matters: New customers might have different adoption patterns. Expected answer: Customer base has remained relatively stable. Impact on approach: If many new customers, we'd analyze their onboarding; if stable, we'd look at existing customer behavior changes.

• Thinking about product changes, have we recently updated the dashboard filters or related features?

Why it matters: Recent changes could directly impact adoption rates. Expected answer: Minor updates were made to the filter UI last month. Impact on approach: If changes occurred, we'd scrutinize their impact; if not, we'd look at external factors or gradual shifts in user needs.