How can we explain the recent spike in customer support tickets related to Higher Logic's automated marketing tools?

Introduction

The recent spike in customer support tickets related to Higher Logic's automated marketing tools signals a critical issue that demands immediate attention. As we delve into this product challenge, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of external factors, product understanding, metric breakdown, and data-driven hypothesis formation. We'll then conduct a root cause analysis, propose validation methods, and outline a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• I'm noticing the term "recent spike." Can you provide more specifics on the timeframe we're looking at? Is this over days, weeks, or months?

Why it matters: Understanding the timeline helps identify potential correlations with recent changes or events. Expected answer: The spike occurred over the past two weeks. Impact on approach: A shorter timeframe might point to a recent deployment or market event.

• Regarding "automated marketing tools," are we seeing this spike across all tools or specific features?

Why it matters: This helps narrow down the problem area and potential causes. Expected answer: The spike is primarily related to email automation and lead scoring features. Impact on approach: We'd focus our investigation on these specific features and their recent changes.

• Have there been any recent updates or changes to the automated marketing tools?

Why it matters: Recent changes often correlate with sudden increases in support tickets. Expected answer: A minor update was pushed to the email automation feature last week. Impact on approach: We'd prioritize investigating this update and its potential impact.

• Are the support tickets coming from a specific user segment or across the board?

Why it matters: This helps determine if the issue is widespread or isolated to certain user types. Expected answer: The majority of tickets are from newer users who've been onboarded in the last month. Impact on approach: We'd focus on the onboarding process and new user experience.

• Has there been any change in the way support tickets are categorized or tracked?

Why it matters: Ensures we're not dealing with a measurement anomaly rather than an actual increase. Expected answer: No recent changes to the ticketing system or categorization process. Impact on approach: We can confidently focus on product-related issues rather than measurement discrepancies.