How to Supercharge Your Design Workflow with AI
- Two main types of AI research tools for design workflow: insight generators and collaborators. Insight generators provide concise summaries of user research sessions, but lack context and background details. Collaborators can be trained with human-generated interpretations and provide more contextual insights.
- Insight generators cannot interpret the complete picture of user interactions and experiences due to their limited scope.
- Collaborators have the capability to analyze researchers' notes, generate insights based on transcripts and contextual data, and recommend thematic analysis tags.
- However, collaborators struggle with handling visual data, citation, validation, and potential biases.
- To reduce bias in AI research tools, diverse and representative data should be used, AI systems should be tested and audited, and clear guidelines for ethical use should be provided.
- AI research tools can help reduce cognitive load, support decision-making, automate tasks, offer deeper insights into human behavior, create prototypes and visual assets, and pinpoint usability issues.
- It is important to exercise caution, maintain human oversight, critically evaluate outputs, and use AI as a supplement to decision-making rather than relying solely on it.