Why has Karat's interview completion rate dropped by 15% over the past month?

Introduction

The recent 15% drop in Karat's interview completion rate over the past month is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our approach will involve a thorough examination of the problem, generation of data-driven hypotheses, and development of a comprehensive action plan. We'll start by clarifying the context, then rule out external factors before diving deep into the product ecosystem, metric breakdown, and potential internal causes.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal factor at play. Have we seen similar drops in completion rates during this time in previous years?

Why it matters: Seasonal trends could explain the drop and inform our solution approach. Expected answer: No significant seasonal trends observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical changes; if not, we'd investigate other factors.

• Considering the magnitude of the drop, I'm wondering if there have been any recent changes to the interview process or platform. Have we implemented any new features or updates in the past 1-2 months?

Why it matters: Recent changes could directly impact user behavior and completion rates. Expected answer: A minor UI update was rolled out 6 weeks ago. Impact on approach: If changes coincide with the drop, we'd prioritize investigating their impact.

• Given the specific 15% figure, I'm curious about the consistency of our measurement. Has there been any change in how we define or calculate the interview completion rate?

Why it matters: Ensures we're addressing a real issue and not a measurement anomaly. Expected answer: No changes in metric definition or calculation. Impact on approach: If changed, we'd need to reassess the problem; if not, we proceed with our analysis.

• Thinking about user segments, I'm wondering if this drop is uniform across all user groups. Are we seeing any differences in completion rates among various candidate demographics or job types?

Why it matters: Helps identify if the issue is global or specific to certain user segments. Expected answer: The drop is more pronounced among entry-level candidates. Impact on approach: If segmented, we'd tailor our solutions to specific user groups; if uniform, we'd look for broader causes.