Build What’s Next: Digital Product Perspectives
The process of developing digital products and experiences can be a daunting task organizations often find themselves wondering if they are solving the right problems the right way hoping the result is what the end user needs. That’s why our team at Method has decided to launch Build What’s Next: Digital Product Perspectives.
Every week, we’ll explore ways to connect technology with humanity for a simpler digital future. Together, we’ll examine digital products and experiences, strategic design and product development strategies to help us challenge our ideas and move forward.
Podcasting since 2019 • 38 episodes
Build What’s Next: Digital Product Perspectives
Latest Episodes
The Human Side of AI: Design, Change, and Reimagination
In this podcast episode, Method’s Dr. Vanina Delobelle and Reema Pinto discuss "The Human Side of AI: Design, Change, and Reimagination. They discuss the crucial difference between viewing AI as a 'solution' versus a 'tool,' and uncover its fou...
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47:01
Technical Debt During Planning and Prioritization
In this podcast episode host Jason Rome and guest David Brown discuss a practical approach to planning, moving beyond "process theater." It advocates for transparently managing technical debt as product work, leveraging habits over rigid proces...
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19:54
How AI is Transforming Design Teams in Financial Services
Join Jason Rome and Mike Adam in this episode of "Build What's Next" as they explore how AI is revolutionizing design teams in financial services. They discuss the impact of AI on design, research, and product teams, covering topics like psycho...
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40:20
Confidence in Planning: Addressing Uncertainty and Risk
In this podcast episode host Jason Rome and guest David Brown talk about the crucial role of "confidence" in effective planning. They explore how organizations can honestly assess certainty and uncertainty in project estimates, distinguishing b...
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29:50
Navigating the AI Landscape: Insights from Jon Webster
Jon Webster of CPP Investments discusses how AI, particularly large language models (LLMs), is changing organizational decision-making. He emphasizes the practical usefulness of LLMs over their "intelligence" and introduces the "generator-verif...
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46:28