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Company focus

Blis

Why has the average time spent on Blis's Audience Explorer tool declined by 20% among enterprise clients this quarter?

Prepared by NextSprints

12 mins
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Data Analysis Problem-Solving Strategic Thinking Marketing Technology Data Analytics Enterprise Software User Engagement Data Analytics Root Cause Analysis Enterprise SaaS MarTech
Product Management Root Cause Analysis Question: Investigating declining usage of Blis Audience Explorer tool

Introduction

The decline in average time spent on Blis's Audience Explorer tool among enterprise clients this quarter is a concerning trend that requires immediate attention. To address this issue, 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)

  • I'm noticing the decline is specific to enterprise clients. Could you confirm if this trend is consistent across all enterprise segments or if it's more pronounced in certain industries or company sizes?

Why it matters: Understanding the scope helps focus our investigation and potential solutions. Expected answer: The decline is more significant in larger enterprises (1000+ employees). Impact on approach: We'd prioritize investigating factors specific to larger organizations.

  • Considering the timing, I'm wondering if there have been any recent updates or changes to the Audience Explorer tool in the past quarter?

Why it matters: Recent changes could directly impact user behavior and tool usage. Expected answer: A minor UI update was rolled out six weeks ago. Impact on approach: We'd examine the UI changes and their potential effect on user engagement.

  • Looking at user behavior, has there been any shift in the types of data or insights enterprise clients are seeking from the tool?

Why it matters: Changes in client needs could explain reduced usage if the tool isn't meeting new requirements. Expected answer: Some clients have expressed interest in more granular demographic data. Impact on approach: We'd explore how well the current tool aligns with evolving client needs.

  • Regarding system performance, have there been any reported issues or increased error rates for the Audience Explorer tool this quarter?

Why it matters: Technical issues could discourage usage and explain the decline in time spent. Expected answer: No significant increase in error rates, but load times have slightly increased. Impact on approach: We'd investigate the impact of performance changes on user engagement.

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Updated Jan 22, 2025