"Session replay tools capture different types of user actions. Some tools focus on DOM-level signals like clicks, scrolls, and heatmaps. Others provide full video-style replays of user sessions. Because capabilities vary so widely, you need to understand exactly what data a tool collects and the privacy risk that comes with it."
"High-risk data elements include personally identifiable information (PII) like names, email addresses, and physical addresses; authenticated views displaying personal information; form inputs containing login credentials and payment information; and admin dashboards with employee data. Session replay is inappropriate for high-risk data, and non-eligible actions include financial transactions, medical workflows, and identity verification flows."
"Traditional analytics often miss the why behind user behavior. Video-like replays of real interactions can surface UX issues that metrics alone can't explain. But implementing session replay comes with hurdles beyond legality. Product teams need to balance insight with user trust, while also addressing concerns from leadership, legal, and engineering."
Session replay has become essential for understanding user experience by capturing real interactions that traditional analytics miss. These tools record user actions like clicks, scrolls, and form inputs to identify UX issues and user frustrations. However, implementation requires balancing insight with privacy concerns. Different tools collect varying data types, from DOM-level signals to full video replays. High-risk data including personally identifiable information, authenticated views, form inputs, and admin dashboards pose significant privacy risks. Product managers must understand what data their chosen tool collects and implement frameworks that protect sensitive information. Financial transactions, medical workflows, and identity verification flows are inappropriate for session replay. Responsible implementation requires collaboration across product, legal, engineering, and leadership teams with practical frameworks and rollout checklists.
Read at LogRocket Blog
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