Introduction
The sudden 50% increase in support tickets for Appfire's Confluence Reporting & Dashboards app over the past two weeks 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 the product and its users.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose 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: Recent changes often correlate with support ticket spikes. Expected answer: Yes, there was an update to the app two weeks ago. Impact on approach: If confirmed, I'd focus on changes introduced in the update.
Why it matters: Understanding the scale helps prioritize the issue and resource allocation. Expected answer: Around 200 tickets per two weeks. Impact on approach: A higher baseline would indicate a more severe problem requiring immediate action.
Why it matters: Identifying affected segments can narrow down potential causes. Expected answer: Enterprise users are reporting more issues with custom dashboard creation. Impact on approach: I'd focus on enterprise-specific features and custom dashboard functionality.
Why it matters: External changes could be causing compatibility issues. Expected answer: Confluence had a minor update three weeks ago. Impact on approach: I'd investigate potential compatibility issues with the recent Confluence update.
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