Gather data on how the bug affects user experience, such as system crashes, functionality loss, or performance issues. Analyze logs and error reports to assess the frequency and scope of the bug. Reproduce the bug in a test environment to understand its impact on critical workflows. Consult with stakeholders to align the severity with business objectives. Consider user feedback or reports to gauge the bug's real-world impact. Use this data-driven approach to reach a consensus on the bug's true severity.

🔍 When your team is divided on bug severity, focus on the user impact to reach a decision. Start by analyzing real-world data, such as user feedback, logs, and usage statistics, to assess how the bug affects functionality and experience. Prioritize issues that disrupt key features or workflows critical to user satisfaction. Facilitate an open discussion where diverse viewpoints are considered, but anchor the conversation in user-centric metrics. By aligning on how the bug influences the overall product quality and user experience, your team can make objective, data-driven decisions about severity. 📊👥

Assess User Experience (UX) Impact: Consider the impact of the bug on the user experience. Does it cause frustration or confusion? Even if it doesn’t break functionality, a bug that leads to poor UX (e.g., slow loading times, confusing error messages) can be more severe than initially thought.

When faced with a team disagreement on bug severity, it's crucial to adopt a user-centric perspective to ensure that the impact is accurately assessed. Analyse the responses to understand how the bug affects users' overall satisfaction, productivity, or task completion. Look for patterns or correlations between the bug and other user behaviours or metrics that might indicate a significant impact. Review customer support tickets to identify the frequency of complaints related to the bug and the severity of the reported issues. Focus on bugs that pose significant risks to the users or the business.

Gather user feedback and analyze usage data to understand the bug’s impact. Prioritize based on how it affects user experience and core functionality.