Introduction
The recent 20% decrease in average time spent on Jet Reports among enterprise customers is a concerning trend that requires immediate attention. As we analyze this product issue, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.
Our approach will involve clarifying the context, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering relevant data, forming hypotheses, conducting root cause analysis, and proposing validation methods and solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the specific changes helps pinpoint potential causes. Expected answer: A list of feature updates or backend changes. Impact on approach: Directs focus to specific areas of the product that may be causing issues.
Why it matters: Identifies if the issue is widespread or localized to certain user groups. Expected answer: Data showing variation (or lack thereof) across customer segments. Impact on approach: Helps narrow down potential causes and tailor solutions.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: Confirmation of consistent measurement methods or details of any changes. Impact on approach: If measurement changed, we'd need to reassess the validity of the 20% decrease.
Why it matters: User feedback can provide qualitative insights into quantitative changes. Expected answer: Data on support ticket volume and content related to Jet Reports. Impact on approach: Guides us towards specific user pain points or technical issues.
Practice similar questions
Subscribe to access the full answer