Key Insights

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  Generative AI can help product creators scale inclusive design by systematically generating user journeys based on diverse and intersecting dimensions of identity.

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  Product inclusion means centering marginalized voices and can be applied at every phase of product creation for broader belonging.

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  Systematic design relies on three pillars: documentation of critical user flows, collaborative ideation (like design sprints), and synthesis/prioritization of insights.

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  Designing for 'average users' overlooks large populations with diverse abilities, including 1 in 7 people with disabilities and an aging population with hearing loss.

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  Prompt design for generative AI requires detailed task steps, persona definitions, output format examples, constraints, and iterative refinement for best results.

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  Dimensions of identity include visible and hidden traits whose intersections create complex user identities to be intentionally incorporated into user flows.

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  AI can accelerate affinity clustering and abstraction laddering in design sprints, compressing hours of team work into minutes.

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  AI should augment, not automate, the design process due to inherent biases in training data, such as racial or gender bias.

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  Refining AI-generated outputs through iteration and human oversight is critical to ensure meaningful and inclusive design outcomes.

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  Using AI-generated inclusive user journeys can inform more diverse recruitment strategies in user research, backing a more inclusive design validation process.

Notable Quotes