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Product Management Root Cause Analysis Question: Investigating decline in Pantheon's Custom Upstream feature usage among enterprise clients
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Nextsprints

Updated Jan 22, 2025

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Why has Pantheon's Custom Upstream feature usage declined by 30% among enterprise clients this quarter?

Data Analysis Problem Solving Technical Understanding Web Development Enterprise Software Cloud Hosting
Root Cause Analysis Feature Adoption Enterprise Software WebOps Custom Upstreams

Introduction

Pantheon's Custom Upstream feature usage decline of 30% among enterprise clients this quarter is a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.

My analysis will follow a structured framework, covering issue identification, hypothesis generation, validation, and solution development. This approach ensures a comprehensive examination of the problem and leads to actionable insights.

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 be seasonal factors at play. Has this decline been observed in previous quarters or is it unique to this one?

Why it matters: Helps distinguish between cyclical patterns and unique issues. Expected answer: No similar decline in previous quarters. Impact on approach: If seasonal, we'd focus on optimizing for known patterns; if unique, we'd investigate recent changes.

  • Considering the enterprise focus, I'm wondering about the onboarding process. Have there been any changes to how we introduce or support Custom Upstreams for new enterprise clients?

Why it matters: Changes in onboarding could directly impact adoption rates. Expected answer: No significant changes to onboarding. Impact on approach: If changes occurred, we'd review their impact; if not, we'd look at other factors affecting adoption.

  • Given the specificity of the decline, I'm curious about our measurement methods. Has there been any change in how we track or define Custom Upstream usage?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methods. Impact on approach: If changes occurred, we'd need to recalibrate our analysis; if not, we'd focus on actual usage patterns.

  • Thinking about the competitive landscape, have there been any significant moves by competitors or changes in the market that might affect Custom Upstream adoption?

Why it matters: External factors could be driving the decline. Expected answer: No major competitive shifts noted. Impact on approach: If competitive factors are at play, we'd need to reassess our value proposition; if not, we'd focus more on internal factors.

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