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Summary
This is part 3 of a 3-part series on prioritization, led by Harry Max, author of Managing Priorities: How to Create Better Plans and Make Smarter Decisions. Part 1 | Part 2 As the hype of Generative AI starts to give way and unprecedented new capabilities go mainstream; prioritization will become both easier and harder. It will become significantly easier because you can converse with a chat agent who can wrangle questions about potential priorities in insanely powerful ways and respond seemingly authoritatively. With access to a vast selection of sorting techniques, frameworks, marketplace simulations, hybrid methods, and other relevant information, AI-enabled solutions will augment our ability to prioritize. But this will put pressure on us as humans to provide the guiding values, ethics, situational awareness, and other information to guide the AI conversation to a productive and sustainable end. The conversation with Former Engineering SVP Mark Interrante will explore the immense power of GenAI to fuel a revolution in prioritization and our ability to create better plans and make smarter decisions.
Key Insights
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AI can assist in prioritization, but it should not replace human judgment.
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Prioritization is a political and context-sensitive process that requires human insight.
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Generative AI is useful for task categorization and managing spreadsheets of various inputs.
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Organizations should create playbooks to guide AI in prioritization tasks.
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AI can reveal surprising outliers in feedback that might be important to address.
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Iterative processes improve the accuracy of AI-generated prioritizations.
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AI can help synthesize large amounts of data into manageable insights for product managers.
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It's crucial to articulate clear prioritization criteria that AI can utilize effectively.
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Future prioritization tools may involve generative AI but must consider situational context and stakeholder dynamics.
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Relying solely on historical data for prioritization may overlook emerging trends and opportunities.
Notable Quotes
"You're in the Rosen verse."
"What do you want to learn when it comes to AI and prioritization?"
"Prioritization is a political process, and politics are hard to do in technology."
"AI can serve as a set of interns, smart but not fully aware of political nuances."
"Generative AI is not a magic eight ball that gives instant answers."
"We have to evaluate the AI's work and give it feedback just like a human assistant."
"Prioritization work is all about getting stakeholders to agree on criteria."
"We are brilliant at prioritization in simple static environments."
"The challenge is that most of the complicated decisions involve many dynamic variables."
"You can't outsource prioritization work to AI; it requires human judgment."
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