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Company focus

Datasite

What factors are contributing to the 30% increase in customer support tickets related to Datasite Diligence's document search functionality this month?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Financial Technology M&A Enterprise Software Root Cause Analysis Search Optimization Customer Support Performance Troubleshooting M&A Software
Product Management Root Cause Analysis Question: Investigating increased support tickets for document search functionality

Introduction

The recent 30% increase in customer support tickets related to Datasite Diligence's document search functionality is a critical issue that demands immediate attention. This surge in support requests not only impacts user satisfaction but also strains our support resources and potentially undermines the core value proposition of our product. In addressing this challenge, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Given the sudden spike, I'm wondering about recent changes. Have there been any updates to the search algorithm or indexing process in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, a minor update was implemented. Impact on approach: If confirmed, we'd focus on regression testing and rollback options.

  • Considering user segments, are we seeing this increase across all customer types or is it concentrated in a specific group?

Why it matters: Helps narrow down if it's a universal issue or segment-specific. Expected answer: The increase is more pronounced among enterprise users. Impact on approach: We'd prioritize investigating enterprise-specific use cases and data volumes.

  • Looking at the timing, I'm curious about any changes in document volume or complexity. Has there been a significant increase in the number or size of documents being processed?

Why it matters: Search performance often correlates with data volume and complexity. Expected answer: There's been a 20% increase in average document size. Impact on approach: We'd focus on optimizing search for larger document sets.

  • Regarding system performance, have there been any notable changes in search response times or error rates?

Why it matters: Performance degradation often leads to increased support tickets. Expected answer: Search response times have increased by 15% on average. Impact on approach: We'd prioritize performance optimization in our solution.

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Updated Jan 22, 2025