How can we explain the unexpected 20% decline in adoption rates for Visier's Pay Equity Analytics feature among enterprise clients since its latest update?

Introduction

The unexpected 20% decline in adoption rates for Visier's Pay Equity Analytics feature among enterprise clients since its 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 and long-term implications for our product strategy.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only addresses the immediate concern but also strengthens our product offering and client relationships in the long run.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation between the latest update and the decline. Could you provide more details about the nature and scope of the recent update?

Why it matters: Understanding the changes made in the update could reveal potential technical issues or user experience problems. Expected answer: A summary of key features or changes in the latest update. Impact on approach: If the update introduced significant changes, we'd focus more on user adaptation and potential technical issues.

• Considering the specificity of the decline, I'm curious about our measurement methods. Has there been any change in how we define or measure adoption rates for this feature?

Why it matters: Ensures we're comparing apples to apples and rules out measurement errors. Expected answer: Confirmation of consistent measurement methods or details of any changes. Impact on approach: If measurement methods changed, we'd need to re-evaluate our baseline data.

• Given the enterprise focus, I'm wondering about the timeline of this decline. Over what period have we observed this 20% drop?

Why it matters: Helps distinguish between a sudden drop and a gradual decline, informing our urgency and approach. Expected answer: A specific timeframe, e.g., "over the last quarter" or "since the update two months ago." Impact on approach: A sudden drop might indicate a technical issue, while a gradual decline could suggest user adoption challenges.

• Considering potential external factors, have there been any significant changes in the regulatory landscape or industry standards related to pay equity recently?

Why it matters: External factors could be influencing client priorities or needs. Expected answer: Information on recent regulatory changes or lack thereof. Impact on approach: If there have been changes, we might need to reassess our feature's alignment with new requirements.