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Kirsten has over a decade of experience designing user research solutions that deliver insight, context, and clarity for product and business strategy teams. A master connector, she understands the interrelated operations of business, technology, and design, and has a track record of driving innovation and maturity in organizational research practices through strong partnerships between human-centered design, data analytics, industrial engineering, and behavioral science. Kirsten has an AB in Anthropology and a minor in Vocal Performance from Princeton University, and an MA in Social Sciences from the University of Chicago. She is also a certified LUMA practitioner and SAFe 4 Certified Agilest.
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A quick follow-up to our blog posts about AI… The name of the game is no longer Moore's Law where we see processors getting exponentially faster. AI technology is driven not by computing processes of the past, but from an evolution beyond central processing unit (CPU)...
The first step when developing AI is to understand the user need; but just as critical, is knowing the context in which the data is being collected.
To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.
A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.