Rosenverse

Log in or create a free Rosenverse account to watch this video.

Log in Create free account

100s of community videos are available to free members. Conference talks are generally available to Gold members.

AI for Prioritization (3rd of 3 seminars)

Thursday, July 11, 2024 • Rosenfeld Community
Share the love for this talk
AI for Prioritization (3rd of 3 seminars)
Speakers: Mark Interrante and Harry Max
Link:

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."

Ask the Rosenbot
Ari Zelmanow
Dark Side of Democratization
2023 • Advancing Research Community
Jonathon Colman
How to Maximize the Impact of Content Design
2024 • DesignOps Summit 2020
Gold
Emily Williams
When UX Research and Institutional Racism Collide: A Case Study
2021 • Advancing Research 2021
Gold
Amy Marquez
INVEST: Discussion
2018 • Enterprise Experience 2018
Gold
Peter Merholz
Design at Scale is People!
2021 • Design at Scale 2021
Gold
Billy Carlson
Tips to Utilize Wireframes to Tell an Effective Product Story
2023 • Enterprise UX 2023
Gold
Kristin Sundermeyer
Design Ops Metrics
2021 • DesignOps Summit 2021
Gold
Adam Cutler
Discussion
2016 • Enterprise UX 2016
Gold
Deirdre Hirschtritt
Research is Only as Good as the Relationships You Build
2022 • Civic Design 2022
Gold
Nick Lewis
Designing and building low-carbon websites independently
2025 • Climate UX Interest Group
Patrick Boehler
Fishing for Real Needs: Reimagining Journalism Needs with AI
2025 • Designing with AI 2025
Gold
Mariah Hay
Ethics in Tech Education: Designing to Provide Opportunity for All
2018 • Enterprise Experience 2018
Gold
Niko Laitinen
Adaptable Org Design for Resilient Times
2021 • Design at Scale 2021
Gold
Husani Oakley
Theme Two Intro
2023 • Enterprise UX 2023
Gold
Juhan Sonin
Design Now! The Agenda for Action
2025 • Rosenfeld Community
Alla Weinberg
Design Teams Need Psychological Safety: Here’s How to Create It
2022 • DesignOps Summit 2022
Gold

More Videos

Taylor Jennings

"If we wanted to scale and continue to grow, we were going to need something to help us."

Taylor Jennings Joe Nelson Alex Knoll

Repository Retrospective: Learnings from Introducing a Central Place for UX Research

March 9, 2022

Nicole Aleong

"We have a role to play in democratizing the future and amplifying more visions of what that future can hold."

Nicole Aleong

Future Orientations to Everyday Life: Futures Anthropology as a Methodology

March 26, 2024

Jeff Gothelf

"Disruptive innovation doesn’t happen overnight; you have to practice, fail, learn, and have patience."

Jeff Gothelf

Innovation Studios: the Engines of Enterprise Experimentation

May 14, 2015

Saara Kamppari-Miller

"Accessibility is more of a process than a result; it starts at the very beginning of product development with research including disabled users."

Saara Kamppari-Miller

DesignOps for Inclusive Design and Accessibility

May 26, 2022

Tess Dixon

"Having questions about team happiness broken into person, team and product helps clear up confusion in large organizations."

Tess Dixon

C'mon Get Happy

September 29, 2021

Liam Thurston

"If your team sees a clear path of mastery in your organization, they’re much more likely to stay."

Liam Thurston

Why Your Design Team Is Quitting, And How To Fix It

June 10, 2022

Ian Swinson

"If you’re amazing at your job but no one listens to your research or design, does it really have impact?"

Ian Swinson

Designing and Driving UX Careers

June 8, 2016

Leisa Reichelt

"Empathy walls emerged at DTA because teams needed a visceral way to bring stories back from the field."

Leisa Reichelt

Opening Keynote: Operating in Context

November 7, 2018

Rachael Greene

"Consistent, gentle support over time creates deeply loyal adopters."

Rachael Greene Alison Davis

Building a Design Ops Practice that Really Works (Most of the Time)

October 2, 2025