Introduction
The recent 30% decrease in new customer sign-ups for Expel Workbench following the latest software update is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive plan for validation and resolution.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: This helps establish a clear timeline and potential causality. Expected answer: The update was released 2-3 weeks ago, aligning with the drop. Impact on approach: A close alignment would strengthen the focus on update-related factors.
Why it matters: This could reveal whether the issue is universal or segment-specific. Expected answer: The decrease is more pronounced in small business sign-ups. Impact on approach: A segment-specific issue would narrow our focus and potential solutions.
Why it matters: Direct changes to the sign-up process could be a primary factor. Expected answer: Minor UI changes were made to the sign-up form. Impact on approach: This would shift focus to UX/UI elements in the sign-up flow.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes to tracking or definitions have been made. Impact on approach: If changes were made, we'd need to re-evaluate our baseline metrics.
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