Asking the Right Questions: Life, Hope and Moving Forward During the Pandemic
Summary
Details to come.
Key Insights
-
•
Starting meetings or classes with a simple warm-up increases attentiveness and presence.
-
•
Remote teaching often results in students keeping cameras off, impacting engagement, but this can be navigated with inclusive strategies.
-
•
Peloton taught the speaker practical leadership lessons including compassion, collaboration, and community support.
-
•
Consistency is critical in leadership and personal growth, exemplified by the speaker's 73-week exercise streak.
-
•
Inclusive leadership requires acknowledging where people are physically and emotionally, offering alternatives accordingly.
-
•
Organizations must consistently provide education and enforce policies addressing discrimination, considering intersectional identities.
-
•
Leadership must listen actively and avoid placing the burden of diversity work solely on marginalized groups.
-
•
Recognizing external stressors such as global events is essential to empathetic leadership and inclusive workplaces.
-
•
Language matters; everyday expressions can unintentionally exclude or offend marginalized communities.
-
•
Inclusion and accessibility should be embedded into every designer's responsibilities, not isolated to specialists.
Notable Quotes
"I had you all do a warm-up before we started to help everyone be present and calm."
"Sometimes working with a bunch of boxes and letters on Zoom was the reality of remote classes."
"Be compassionate with yourself and others. Not everyone likes high fives, and that's okay."
"Collaboration is key. I'm never alone in a Peloton class, even at 4:30 in the morning."
"Consistency is key. I'm on a 73-week streak right now, and that's pretty badass."
"Identity is not monolithic; policies should address layered experiences."
"It is not the responsibility of marginalized groups to do all the educating about their experiences."
"Listen is a skill that is not emphasized enough in leadership."
"Watch your language; terms like 'that's so lame' can be exclusionary or offensive."
"Inclusion and accessibility need to be part of every designer's role, even if today it is one person's job."
Or choose a question:
More Videos
"Research theater is when results are designed just to create a reaction, not real understanding."
Indi YoungPaying Better Attention to the Problem with Indi Young
December 12, 2019
"Backcast from preferred or risky futures to start thinking about what we need to do today to get there or avoid that outcome."
Sarah GallimoreInspire Progress with Artifacts from the Future
November 18, 2022
"Organizations are complex systems; you need to understand them deeply before acting."
Laurent ChristophScale the impact of DesignOps in 3D: Diligence, Decision, Discipline
September 17, 2025
"Duplicating the map lets me answer ops questions like who are our UX domain experts or how design ops is structured."
Saara Kamppari-MillerCartography for Design Communities
September 10, 2025
"We are drowning in an endless sea of data yet we are stuck in an insight desert."
Jill FruchterInconvenient Insights: The Researcher's Role is to Stay Curious
March 29, 2023
"The cohorts have been a slam dunk hit in our virtual conferences while we’ve been doing them."
Bria AlexanderOpening Remarks
June 11, 2021
"The evolution in AI UIs is ongoing and rapid, and we’re still figuring out what the final form of AI-native applications looks like."
Luke WroblewskiDesigning AI Applications
March 5, 2026
"All of this content would not have been possible without your support and your feedback."
Bria AlexanderOpening Remarks
June 10, 2021
"We created a self-service UXR hub to empower teammates with research fundamentals amid downsized research teams."
Maggie DieringerCreating Consistency Through Constant Change
January 8, 2024
Latest Books All books
Dig deeper with the Rosenbot
What are practical approaches to balance rapid AI-driven prototyping with maintaining brand and design system consistency?
How can shared vocabulary help design practitioners better understand and communicate AI capabilities?
Why is pre-planning and review essential before using AI-generated code changes in production?