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)
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.
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.
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.
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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