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A practical framework for designing UX in AI-powered products
- The article discusses designing user experiences in AI-powered products by focusing on meaningful, responsible, and understandable integration of AI.
- A UX/UI studio shares their approach to incorporating AI into digital products, emphasizing the importance of defining AI's purpose in the user experience.
- They introduce the AI Product Design Canvas™, a framework to guide teams in understanding what AI should do, how it should behave, and its significance before diving into design.
- The canvas consists of 9 key fields that address user context, value added by AI, user control, errors, and success metrics, among others.
- It is designed to assist in the early stages of product development to clarify ideas and opportunities.
- The Canvas prompts questions about user goals, pain points, AI's impact, and whether AI is the right solution for the problem.
- Fields in the Canvas focus on user journey, technical requirements, user agency, error recovery, and performance measurement.
- The framework encourages cross-functional teams to align on AI integration, emphasizing clarity, confidence, and responsible design.
- It is useful for product designers, managers, and tech leads working on AI-first products, feature additions, or discovery workshops.
- The AI Product Design Canvas™ acts as a thinking tool to promote collaborative design and improve AI product development processes.
- The Canvas is freely available in English and Polish and aims to enhance the design of AI products by fostering thoughtful consideration and shared understanding.
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