This video is featured in the AI and UX playlist.
Summary
I am a Senior Product Designer at a large tech company, leading the Video Gen AI and Growth programs. This talk is a case study about leveraging AI tools to scale and systematize your design process. Some examples include creating better and more thorough user journey lists that capture all types of users, reducing the risk of excluding some users. I will also talk about how to have a Systems Design mindset about UX programs, including how to scale your work across teams and organizations for broader impact.
Key Insights
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Generative AI can help scale inclusive product design by systematically generating diverse user journeys across multiple identity dimensions.
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Inclusion requires deliberately centering marginalized voices throughout every phase of product creation to avoid unintentional exclusion.
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Product inclusion involves considering temporary, situational, and permanent disabilities as well as multimodal experiences across devices.
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Systematizing user journeys involves documenting flows, collaborative ideation (e.g., design sprints), and synthesis/prioritization, all augmented by AI tools.
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Carefully crafted AI prompts with detailed steps, personas, constraints, and examples improve the quality and relevance of generated design ideas.
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Dimensions of identity and intersectionality can be explicitly incorporated into AI prompts to build richer, more inclusive user scenarios.
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AI accelerates design sprint activities such as 'how might we' ideation, affinity clustering, and abstraction laddering, reducing hours of manual work to minutes.
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Biases in AI training data around race, gender, and age mean AI should augment but never fully automate the design process.
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Scaling design for millions of users becomes feasible by leveraging AI to generate and cluster user journeys categorized by identity traits.
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Refining AI outputs and iterative prompt tuning is crucial; initial AI responses may need adjustments to align with design goals.
Notable Quotes
"If you do not intentionally, deliberately, and proactively include, you will unintentionally exclude."
"Generative AI models learn patterns from massive data, enabling them to create coherent and meaningful new content for humans."
"As product creators, balancing business priorities, cross-functional teams, features, and users means some may fall through the cracks—but AI can help catch them."
"Dimensions of identity intersect to form complex identities, which must be reflected in user flows from the start."
"Using AI, you can write dozens or even hundreds of inclusive user journeys in minutes that would take hours manually."
"You want to prime AI models with constraints, formatting examples, and clear instructions for better prompt outcomes."
"Affinity clustering with AI can reduce hours of manual thematic organization from many participants to minutes with a few clicks."
"Bias in AI data sets is real—like images mainly showing white people or skewed demographics—so it’s critical to stress test outputs."
"Augment your design process with AI, but never fully automate it; always review and refine to mitigate bias and errors."
"Managing prompt libraries could be a design ops task, but once established, prompts can be reused repeatedly to save time."
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