Progressive Disclosure and Audience Design Questions

Covers the principles and practices of structuring information for multiple audiences by using progressive disclosure to manage cognitive load. Candidates should be able to explain the theory of progressive disclosure, why limiting initial information reduces cognitive load, and when to reveal additional details on demand. This includes concrete strategies for serving beginners and advanced users or different roles and use cases within the same product documentation or interface: layered content (overview then details), summaries with expandable details, quick start guides, step by step tutorials, reference sections, role specific landing pages, contextual help, tooltips, and example driven content. Discuss design tradeoffs such as discoverability versus simplicity, maintaining consistency, versioning and referenceability, and accessibility considerations. Describe how to identify audience needs through personas, user research, and analytics, and how to structure navigation and information architecture so users can find the level of detail they need. Be prepared to give examples of implementation patterns, explain when progressive disclosure is inappropriate, and describe metrics to evaluate success such as task completion, time on task, support volume, heatmaps, and user feedback.