Brian T. O'Neill
I help product leaders at B2B AI and SAAS analytics companies boost sales and increase user adoption by improving UX.
Cambridge, Massachusetts, United States
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Brian T. O'Neill is a designer, advisor, and founder of Designing for Analytics, an independent consultancy that helps product leaders at B2B AI and SAAS analytics companies boost sales and reduce churn by improving UX. For over 20 years, he has worked with companies like DellEMC, Tripadvisor, Fidelity, JP Morgan Chase and has helped launch several SAAS startups including Apptopia and Dispatch.me. Brian has also spoken internationally, giving talks at Chief Data Officer IQ Symposium, UXPA Boston, Big Data EU Conference, the International Institute for Analytics Symposium, and Predictive Analytics World. Brian also hosts a podcast in the top 2% of all shows in the world called Experiencing Data that explores how product leaders are working to make their SAAS analytics, AI applications, and internal data products indispensable. Outside consulting, Brian is also a professional percussionist and has performed with artists including The Who and Donna Summer and at prestigious venues including Carnegie Hall and The Kennedy Center. Follow him via his mailing list at https://designingforanalytics.com/list.
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Is UX the Secret Weapon to Making Your B2B AI or SAAS Analytics Product Indispensable?
One day, your CEO called a meeting, and said the company’s strategy was changing to “AI.” “We have to have AI to maintain our market position or differentiate.” They don’t know how or what they want to do exactly, and nor does anyone else. You roll your eyes and play the “solution in search of a problem” track in your head, because it would probably fall on deaf ears anyways.
The thing is, GenAI, ML and AI in general are not going away, and the data science and engineering teams are likely heads down building your data infrastructure. Your execs see a massive technology change on the horizon, and they want to lead—not follow. Your UX team is supposed to get involved somehow “to make sure it’s easy to use,” but the mandates are broad and vague; what is a product leader supposed to do? Slap that textarea box on your GUI so you have “GenAI”? Write some prompt guides?
This session is for senior B2B product and UX leaders who are tasked with an AI mandate, and no clear strategy.
Doing Product + UX Well…When You've Been Served the GenAI Mandate by Your CEO
One day, your CEO called a meeting, and said the company’s strategy was changing to “AI.” “We gotta have AI to maintain our market position or differentiate.” They don’t know how or what they want to do exactly, and nor does anyone else. You roll your eyes and play the “solution in search of a problem” track in your head, because it would probably fall on deaf ears anyways.
The thing is, GenAI, ML and AI in general are not going away, and the data science and engineering teams are likely heads down building your data infrastructure. Your execs see a massive technology change on the horizon, and they want to lead—not follow. Your UX team is supposed to get involved somehow “to make sure it’s easy to use,” but the mandates are broad and vague; what is a product leader supposed to do? Slap that textarea box on your GUI so you have “GenAI”? Write some prompt guides?
This session is for senior product and UX leaders who are tasked with a mandate to deal with AI in an environment where there is no clear strategy as to whether AI is the right solution, and there is a lot of ambiguity. You’ll leave with some useful context to approach discussions with your senior colleagues, and some ideas for getting on board with a train that is not going to stop.
Brian T. O'Neill
I help product leaders at B2B AI and SAAS analytics companies boost sales and increase user adoption by improving UX.
Cambridge, Massachusetts, United States
Actions
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