Session 2: Is AI right for your product? A practical framework
Watch the roundtable
Steal our AI feasibility framework
In this session, we’ll dive deeper into how to determine if AI is a good fit for your product. We’ll explore the key categories you need to assess:
- AI feasibility: Can AI achieve your desired outcome?
- Technical feasibility: What are the technical options that could integrate with your existing product?
- Cost analysis: How can you forecast the cost of necessary technical decisions?
By the end of this session, you’ll have a clear framework to evaluate AI’s role in your product roadmap and set the stage for managing your AI project with human oversight in the next session.
Meet your roundtable
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Dawn Delatte, Director of Design Strategy
Dawn Delatte is thoughbot's Director of Design Strategy. She oversees thoughtbot's thought leadership and business development in design-led product strategy.
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Elaina Natario, Design Team Lead
Elaina participates in each step of the product design lifecycle, from user research to design, to build. She uncovers the core problem, iterates on her designs based on user feedback, and implements her designs with code.
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Fernando Perales, Development Team Lead
Fernando is a Software Engineer with experience in backend, frontend and DevOps. He is committed to delivering high-quality code and helping clients to scale their business.
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Lindsey Christensen, VP Marketing
Lindsey heads up marketing for thoughtbot. She partners with thoughtbotters, clients, and partners on knowledge-sharing and community-building through content, events, and more.