Product managers who drive strategy, development, and launch of products.

Project managers who organize and oversee execution of initiatives, timelines, and cross-functional delivery.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building prototypes and MVPs to test ideas quickly before committing to full development.

Conducting user interviews, surveys, and usability studies to understand customer needs and validate decisions.

Using AI coding assistants and tools to write, review, and ship code faster.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

Business analysts defining requirements and bridging business and technical teams.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

AI Rapid Prototyping as a Requirements Discovery and Elicitation Technique

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