Summary
Design Sprints have undeniable utility but have a bit of baggage in 2024. AI has its reputation at stake, as the first wave didn't quite go as expected. As Designers, we have tools, methods, culture, and urgency to consider. Attendees to this talk will walk away with helpful context on AI's past, present, and future, relevant examples of use, and pragmatic tips for practitioners.
Key Insights
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Guided Discovery is a more flexible alternative to traditional design sprints that incorporates AI tools.
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The framework consists of five modules: collection, generation, prototyping, evaluation, and packaging.
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Innovators benefit from leveling the playing field, allowing non-designers to contribute effectively to the process.
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AI can significantly accelerate concept generation and feedback loops, leading to faster iterations.
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Collecting insights across multidisciplinary teams enhances collaboration and broader understanding of user needs.
Notable Quotes
"We're here to talk about innovation in action, right?"
"Guided Discovery operates more like a recipe than an equation."
"Design thinking does deliver, but it is outcomes focused."
"If you think of sprints as a playbook, then that playbook needs improvement."
"Not everyone is a confident visual communicator; not everyone wants to be a designer."
"With AI tools, we can innovate on innovation."
"The success of any framework is in its ability to scale sustainably."
"Avoid dogma, keep iterating, and try new technologies."
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