Why has G2's review verification process seen a 30% drop in completion rates over the past month?

Introduction

G2's review verification process has experienced a 30% drop in completion rates over the past month, signaling a critical issue that demands immediate attention. To address this problem, I'll employ a systematic framework to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Considering the sudden drop, I'm wondering if there have been any recent changes to the verification process. Have we implemented any new steps or technologies in the last 1-2 months?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, we introduced a new email verification step. Impact on approach: If confirmed, we'd focus on analyzing this new step's impact.

• Given the specific 30% figure, I'm curious about the baseline. What was the average completion rate before this drop occurred?

Why it matters: Understanding the baseline helps quantify the impact. Expected answer: The previous completion rate was around 80%. Impact on approach: This would help us set realistic goals for improvement.

• Thinking about user segments, I'm wondering if this drop is uniform across all user types. Have we seen any differences in completion rates between, say, first-time reviewers and repeat reviewers?

Why it matters: Segmentation could reveal targeted issues. Expected answer: The drop is more pronounced among first-time reviewers. Impact on approach: We'd focus on optimizing the onboarding experience for new users.

• Considering potential technical issues, I'm curious about our system performance. Have we noticed any unusual patterns in server response times or error rates during the verification process?

Why it matters: Technical issues could be causing user frustration and abandonment. Expected answer: There have been intermittent slowdowns during peak hours. Impact on approach: We'd prioritize investigating and resolving performance bottlenecks.