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
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
"94% of companies exclude disability from their diversity and inclusion initiatives, a major missed opportunity to advance accessibility."
Sheri Byrne-HaberThe Importance of Accessible Design Systems
January 8, 2024
"I had sorely underestimated how many internal tools there actually were — at least over 200."
Abbey Smalley Sylas SouzaScaling UX Past the Size of Your Team
January 8, 2024
"Notes can do more than augment memory; they are a crucial part of knowledge management and thinking evolution."
Jorge ArangoExploding the Notebook: How to Unlock the Power of Linked Notes (2nd of 3 seminars)
April 19, 2024
"Design maturity shifts focus from evangelism to operations as organizations strengthen their design impact."
Sarah WilliamsA Framework for CX Transformation
June 11, 2021
"Being extra flexible with scheduling and logistics leads to richer, more authentic insights from participants living paycheck to paycheck."
Yasmine KhanChecking Bias and Listening to Financially Vulnerable Americans
March 30, 2020
"When your design organization becomes its own business unit, that’s when you truly scale."
Dave MaloufTheme 3: Introduction and Provocation
January 8, 2024
"Key results must be measures of human behavior and outcomes, not output metrics like 'launch this service'."
Jeff GothelfWho does what by how much?
November 20, 2025
"Survey data should be treated as zero-party data that fuels personalized communications and lifecycle marketing."
Aleksandra Korczynska Caroline Jarrett Justyna ParmeeSurvey Tools
March 12, 2026
"The three in the box model is business, design, and technical representation, plus legal and compliance in regulated environments."
Frank DuranPartnership Playbook: Lessons Learned in Effective Partnership
January 8, 2024
