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Company focus

Upland Software

What factors are causing the sudden increase in customer support tickets for Upland Software's Kapost content operations platform in the last two weeks?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Cross-Functional Collaboration SaaS Content Marketing Enterprise Software User Experience Product Analytics Root Cause Analysis Customer Support B2B SaaS
Product Management Root Cause Analysis Question: Investigating sudden increase in B2B SaaS support tickets

Introduction

The sudden increase in customer support tickets for Upland Software's Kapost content operations platform 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 fixes and long-term strategic implications.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors driving this surge in support tickets and propose actionable steps to resolve the issue.

Framework overview

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

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 or feature release in the past month?

Why it matters: Recent changes often correlate with support ticket increases. Expected answer: Yes, a major update was released three weeks ago. Impact on approach: If true, I'd focus on the new features and potential bugs introduced.

  • Considering user segments, I'm curious about the ticket distribution. Are we seeing an even increase across all user types, or is it concentrated in specific segments?

Why it matters: This helps identify if the issue is universal or segment-specific. Expected answer: The increase is primarily from enterprise users. Impact on approach: I'd dive deeper into enterprise-specific features and use cases.

  • Given the nature of content operations, I'm wondering about seasonal factors. Is this time of year typically busy for our users, perhaps due to content planning cycles?

Why it matters: Seasonal patterns can explain sudden changes in platform usage and support needs. Expected answer: It's not typically a busy season for most users. Impact on approach: If true, I'd rule out seasonal factors and focus more on internal issues.

  • Thinking about system performance, have there been any reported outages or significant slowdowns in the past month?

Why it matters: Technical issues often lead to increased support tickets. Expected answer: No major outages, but some users reported intermittent slowdowns. Impact on approach: I'd investigate the cause of these slowdowns and their potential impact on user experience.

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Updated Jan 22, 2025