How can we explain the sudden 30% decrease in usage of Gusto's time tracking feature among mid-sized companies in the past week?

Introduction

The sudden 30% decrease in usage of Gusto's time tracking feature among mid-sized companies in the past week is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal factor at play. Has this decrease coincided with any major holidays or industry events?

Why it matters: Seasonal trends could explain temporary usage drops. Expected answer: No major holidays or events during this period. Impact on approach: If confirmed, we'd focus more on internal factors.

• Considering the specificity of the affected group, I'm wondering about recent changes. Have there been any updates to the time tracking feature or pricing structure for mid-sized companies recently?

Why it matters: Recent changes could directly impact usage patterns. Expected answer: A minor update was rolled out two weeks ago. Impact on approach: We'd prioritize investigating the impact of this update.

• Given the significant drop, I'm curious about data accuracy. Has there been any change in how we measure or report usage for this feature?

Why it matters: Ensures we're addressing a real issue, not a reporting anomaly. Expected answer: No changes in measurement or reporting methods. Impact on approach: Confirms the need to look at actual usage patterns.

• Thinking about user behavior, I'm interested in feedback channels. Have we seen any increase in support tickets or negative feedback specifically from mid-sized companies about the time tracking feature?

Why it matters: Direct user feedback could point to specific issues. Expected answer: Slight increase in tickets mentioning difficulties with the feature. Impact on approach: We'd focus on analyzing these tickets for common themes.