Building Experiences for Knowledge Systems

Key Insights

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  Knowledge systems use graph databases with nodes and relationships modeled after subject-verb-object sentence structures for efficient storage and comprehension.

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  Knowledge differs from data and information by being tailored toward human action, not just consumption.

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  Graph-based knowledge systems are still immature compared to well-established tabular data systems and lack standardized UX patterns and terminology.

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  AI chatbots like ChatGPT provide conversational knowledge access but lack traceability and rich interaction beyond transactional Q&A.

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  Knowledge creation interfaces must cater to both creators and consumers, a duality posing UX design challenges uncommon in data or information systems.

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  Metadata plays a crucial role in enriching knowledge nodes and managing complex relationships at enterprise scale.

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  The abstraction of knowledge makes UX design particularly challenging and necessitates translating conceptual models into concrete, usable experiences.

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  Different user groups and industries require context-sensitive language bridging jargon from UX, information architecture, and organizational domains.

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  UX professionals have an opportunity to influence vendor product design and internal deployments to improve knowledge system usability from the start.

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  A blended approach like the World Economic Forum's transformation maps shows promise for integrating graph-based visualizations with narrative information to enrich knowledge presentation.

Notable Quotes