124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

Author: Brian T. O’Neill from Designing for Analytics August 22, 2023 Duration: 21:51

In this episode, I give an overview of my PiCAA Framework, which is a framework I shared at my keynote talk for Netguru’s annual conference, Burning Minds. This framework helps with brainstorming machine learning use cases or reverse engineering them, starting with the tactic. Throughout the episode, I give context to the preliminary types of work and preparation you and your team would want to do before implementing PiCAA, as well as the process and potential pitfalls you may run into, and the end results that make it a beneficial tool to experiment with. 

 

Highlights/ Skip to:

  • Where/ how you might implement the PiCAA Framework (1:22)
  • Focusing on the human part of your ideas (5:04)
  • Keynote excerpt outlining the PiCAA Framework (7:28)
  • Closing a PiCAA workshop by exploring what could go wrong (18:03)
Links

For enterprise data and product leaders, the real challenge often isn't building the technology-it's getting people to actually use it. Experiencing Data w/ Brian T. O’Neill digs into that persistent gap between creating powerful ML, AI, and analytical tools and seeing them drive genuine business value and informed decisions. Host Brian T. O’Neill, from Designing for Analytics, moves past pure technical discussion to explore how design, product thinking, and strategic management can bridge that divide. This podcast lives at the intersection of data and human experience, making it essential for anyone who has ever wondered why a technically sound data product failed to gain user adoption or secure stakeholder buy-in. Across conversations with practitioners and through Brian’s own analysis, episodes unpack what a "data product" approach truly means in practice. You’ll hear concrete strategies for designing analytics that people want to use, framing data work in terms of business outcomes, and leading teams to create not just outputs, but impactful solutions. It’s a resource for rethinking how data work connects to the arts of communication, design, and leadership, all to ensure that data investments lead to tangible results. Tune in for a pragmatic, human-centered perspective that is often missing from the tech conversation.
Author: Language: en-us Episodes: 100

Experiencing Data w/ Brian T. O’Neill
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