What factors are contributing to the sudden 30% increase in customer support tickets related to Clarivate Analytics's Derwent Innovation patent database in the last two weeks?

Introduction

The sudden 30% increase in customer support tickets related to Clarivate Analytics's Derwent Innovation patent database over the past two weeks 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 the product and its users.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product's user journey, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent product update. Has there been any significant change to the Derwent Innovation platform in the last month?

Why it matters: Recent changes often correlate with support ticket spikes. Expected answer: Yes, a new feature was rolled out three weeks ago. Impact on approach: If true, I'd focus on the new feature's implementation and user adoption.

• Considering user segments, I'm curious about the distribution of these tickets. Are they coming from a specific user group or spread across all users?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: Tickets are primarily from enterprise users. Impact on approach: If true, I'd investigate enterprise-specific features or usage patterns.

• Given the database nature of the product, I'm wondering about data integrity. Have there been any reported issues with data accuracy or completeness in the past month?

Why it matters: Data quality is crucial for a patent database. Expected answer: No significant data issues reported. Impact on approach: If false, I'd prioritize data integrity checks and potential data source problems.

• Considering support processes, has there been any change in how support tickets are categorized or handled recently?

Why it matters: Changes in support processes could artificially inflate ticket numbers. Expected answer: No recent changes to support processes. Impact on approach: If false, I'd investigate the support system and ticket categorization methods.