Why has the average time spent in Productboard's insights module declined by 15% among enterprise customers this quarter?

Introduction

The decline in average time spent in Productboard's insights module among enterprise customers is a concerning trend that requires immediate attention. This 15% decrease could signal underlying issues affecting user engagement and potentially impacting the overall value proposition of our product. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 quarters or is it unique to this one?

Why it matters: Helps distinguish between cyclical patterns and new issues. Expected answer: No previous seasonal patterns observed. Impact on approach: If seasonal, we'd focus on adapting to cyclical usage; if new, we'd investigate recent changes.

• Considering the specificity to enterprise customers, I'm wondering about potential changes in this segment. Have there been any significant shifts in our enterprise customer base or their usage patterns?

Why it matters: Enterprise-specific issues could point to different root causes than general product issues. Expected answer: No major changes in enterprise customer composition. Impact on approach: If changes occurred, we'd focus on new customer onboarding or churn reasons; if not, we'd look at product-wide factors.

• Given the focus on the insights module, I'm curious about any recent updates or changes. Have there been any significant feature releases or UI changes in the insights module in the past quarter?

Why it matters: Recent changes could directly impact user behavior and time spent. Expected answer: Minor UI update implemented last month. Impact on approach: If changes occurred, we'd investigate their specific impact; if not, we'd look at broader usage trends.

• Thinking about potential data anomalies, I'm wondering about our measurement accuracy. Has there been any change in how we measure or define "time spent" in the insights module?

Why it matters: Ensures we're addressing a real issue and not a measurement artifact. Expected answer: No changes in measurement methodology. Impact on approach: If changes occurred, we'd need to recalibrate our analysis; if not, we can proceed with investigating usage patterns.