Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
AI for Prioritization (3rd of 3 seminars)
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
-
•
AI excels at decomposing complex tasks into smaller subtasks to accelerate productivity.
-
•
Prioritization is inherently political and context-dependent, which AI cannot fully grasp yet.
-
•
Generative AI can assist in synthesizing and categorizing large volumes of customer feedback.
-
•
Developing clear, explicit prioritization criteria is crucial for effective AI assistance.
-
•
AI models can identify outliers or anomalies that may signal emerging priorities.
-
•
Human judgment remains essential to validate and adjust AI-suggested priorities.
-
•
Organizations often segregate different data streams and prioritize within silos before synthesizing across them.
-
•
Privacy concerns are addressed by using hosted, open-source models within company-controlled environments.
-
•
AI currently helps with low-level task execution, freeing humans to focus on strategic prioritization.
-
•
A multi-method approach combining AI support and human decision-making is key to successful prioritization.
Notable Quotes
"Nobody’s gonna listen to you people until you start speaking in the language of business."
"Think of AI not as a magic eight ball, but as a highly educated intern that can help with routine tasks."
"Prioritization work is a political process, and politics are hard to do in technology."
"You have to check the AI’s work and provide feedback—just like you would with a human assistant."
"The risk of AI is that it will over-rely on past priorities and miss new, emerging signals."
"Using a playbook helps codify domain knowledge and prioritization criteria for AI to apply."
"Current AI tools help summarize and sift large volumes of feedback into meaningful patterns."
"Many organizations silo data inputs and prioritize within categories before combining results."
"The challenge of prioritization increases when decisions are adaptive, systemic, and dynamic."
"AI can accelerate prioritization tasks, but the final judgment must come from humans who understand context."
Or choose a question:
More Videos
"When we first started, we didn’t know what the hell we were doing and learned from each other."
Meredith Black Elyse HornbacherBuilding Community and Common Trends to Look for in 2021
December 17, 2020
"It's not about going out to communities but changing your team and leadership to genuinely reflect those communities."
Tricia WangThe most popular design thinking strategy is BS
January 27, 2022
"Hiring specs for federal designers don’t exist as we expect—jobs are often classified as public affairs or other unrelated titles."
Michael LandEstablishing Design Operations in Government
February 18, 2021
"Risk doesn’t usually happen out of the blue; there are driving forces you can watch for."
Bassel Deeb Will OsbornDo More With Less: Equip and Lead Design Orgs Through Adversity
October 2, 2023
"We herded all of our unicorns and named them appropriately with clear, meaningful titles."
Tanya SnookDesigning the team experience: Building culture through onboarding
November 4, 2021
"I felt this was a slippery slope—the blurring of lines between roles and responsibilities."
Allan LowsonRehashing the Double Diamond: Collaborating across functions with AI-assisted prototyping
June 9, 2026
"Minimalization feels like a secret mega principle with huge benefits for performance, people, planet, prosperity, and purpose."
James ChudleyDecarbonising User Journeys: How minimising enables us to do more with less
February 19, 2025
"They’re not living out the Judgment of Solomon every day, where the baby can be split in half."
Scott Jensen Sarah Delaney Carmen LiuShort Take #2: UX/Product Lessons from Your Industry Peers
December 6, 2022
"Maker time was the most difficult project I’ve ever handled, but it made a huge difference."
Brennan HartichCommunicating and Establishing DesignOps as a New Function
November 7, 2018
Latest Books All books
Dig deeper with the Rosenbot
How can UX researchers better collaborate with engineers and product managers using shared language?
How can designers cultivate resilience when facing burnout and disillusionment in large organizations?
In what ways has AI increased workload and burnout among designers despite promises of efficiency?