Rupa Chaturvedi

Human Centered AI Institute

Founder

Vybe Snacks

Stanford University

Adjunct Lecturer (Product Design)

Miraj Sustainable Racing Club

California's first sustainable racing club

Founder & President

Reforge

Co-created the "Generative AI Products: How to get from Idea to MVP" course for product managers, design and user research leaders, consultants and founders. Understand AI by getting hands-on with this practical course taught by industry experts.

Partner

Uber

Head of Merchant & Ads Design

First Round Capital

Product & UX Design Mentor

Google

UX Design Manager

Amazon

I manage and lead a team of UX and Personality designers focused on Conversational AI within the Alexa Shopping group in Amazon. Collectively, my team and I conceptualize, deliver design and strategy to help launch customer experiences that span upper funnel, inspiration and product discovery; product evaluation and research, and post purchase needs of our customer. We are fierce advocates for our customers and leverage multiple sources of data from qualitative to quantitative to guide our intuition and measure our efficacy. The impact we have generated is a combination of customer experience vision, strategic frameworks and mental models as well as design systems for interaction with Alexa by voice and devices in the context of shopping.

Sr UX Designer, Alexa Shopping

Lead UX Designer for Augmented Reality (AR) experiences at Amazon

Sr UX Designer

Sentient Technologies

Helped launch an AI-enabled shopping product that will change the way shoppers shop online. 
Conceptualized and designed multi-channel user experiences for a breakthrough visual search technology product - redefining how consumers shop online.

Helped launch a breakthrough AI enabled online shopping product within 5 months.
Contributed from conceptualizing the UI and product strategy/features to final implementation through whiteboard sketches, wire-frames, high fidelity prototypes and design specifications.

Followed a thorough user centered design process to gather insights into shopper behavior and expectations as well as iterative design based on feedback from user testing.

Head of Design - Visual Intelligence

Head of Merchant & Ads Design at Uber, Adjunct Lecturer at Stanford University

I'm building a world-class AI education institute that puts humans at the center of the AI revolution. Our mission is to empower professionals worldwide to create AI solutions that deliver tangible value for both businesses and end users. We're committed to making AI education accessible, enabling people from all backgrounds to help shape technology's future.

Hard truth for UX designers: if your role looks the same in 2 years, that’s a red flag.

If your value is defined by producing UI artifacts (wireframes, mockups, and redlines) you are in a precarious position. AI models are already exceptionally good at pattern matching and interface generation.

But if your value is defined by system design, you have never been more necessary.

There is a shift from "designing for the user" to "designing for the system."

When an AI agent acts on behalf of a user, it doesn't need a UI. It needs:

- Behavioral Specs: What is the acceptable range of autonomy for this model?
- Adaptive Context: How does the system pivot when the user’s intent is ambiguous?
- Human-in-the-Loop Protocols: When must the human step in for oversight?

These are design responsibilities. They require moving upstream to shape what the system learns and how it decides.

This is exactly why I developed the Advanced AI & Agentic Design curriculum. We stop looking at screens and start looking at system behaviors. We focus on defining constraints, designing for non-deterministic outcomes, and building trust in autonomous flows.

The designers who survive this shift will be the ones who can define the guardrails of the systems we are building. Learn more here: https://bit.ly/3MjqTzM

Design & AI Leader | Stanford Lecturer | AI enablement for UX orgs | ex-Uber, Google, Amazon

Google's Head of Product announced a shift from "writing-first to building-first culture."

Microsoft's CPO said "prompt sets are the new PRDs."

Product management went through a transformation in the past 18 months that UX designers are just starting to feel.

When you can see a shift happening in an adjacent discipline, you have visibility others don't. The question is whether you use it strategically.

I've been mapping what the PM precedent signals for UX roles—and how designers can position themselves while the industry is still figuring out what these roles look like.

Check out my latest newsletter for more on this:

This is the AI UX Brief - my weekly newsletter on designing intelligent systems, leadership in the AI era, and navigating the messy reality of AIUX. F

Open article: Redefining UX Value: The Shift from Execution to Influence by Rupa Chaturvedi • 5 min read

Redefining UX Value: The Shift from Execution to Influence

Meta, Google, OpenAI, Anthropic - they're paying AI PMs up to $600K+.
Why? Because these PMs aren't writing PRDs anymore. They're architecting intelligent systems - designing model behavior, shaping evaluation frameworks, defining how AI thinks and decides.

The role has evolved from coordination to creation. And the market is paying accordingly.

Designers have a unique opportunity here. System thinking, behavioral specification, mental models - these are already in our DNA. Now it's about applying them to intelligence architecture.

Product's transformation is our preview. They're 12-18 months ahead on this curve, and their playbook is completely visible. We can see exactly which capabilities the market values and how to develop them.

In this week's issue, I break down what designers can learn from Product's transformation - the specific capabilities commanding these salaries and strategies for positioning themselves effectively.

Open article: The $600K Question: What AI PMs Know That UX Designers Don't (Yet) by Rupa Chaturvedi • 6 min read

The $600K Question: What AI PMs Know That UX Designers Don't (Yet)

I got a message this week from a UX Director at a FAANG company 6 weeks after completing MXDAI:

“Org changes have been constant here, and the structure is getting flatter every quarter. The expectations on designers have shifted too. My team and I are being pulled into more conversations about how the AI behaves, not just how it looks on the surface. PM and Eng expect us to have a clear point of view there, and if we don’t, we’re not really influencing the product. MXDAI helped me step into those conversations with more confidence. It’s made a noticeable difference in how I show up and how my team gets included.”

What resonated with me is how common this has become.

Across companies, designers are being asked to take on a level of strategic influence that isn’t written into the job description but is now core to how teams move forward. 

As orgs continue to flatten, leaders and ICs are figuring out how to stay relevant in a landscape where expectations rise even as layers disappear. The people who can bring clarity to messy AI questions and ambiguous decisions are the ones carrying a different kind of weight.

This is the work we focus on inside MXDAI.

We’re currently the number one AI design course on Maven, and now you know why.

Maven also extended the promo for one more day today, in case you’ve been considering joining the next cohort - take advantage of the 25% tuition discount - offer expires tonight/

If you’re facing similar changes or want to get ahead of what’s coming, feel free to reach out.

cc Maven

There’s been so much talk lately about PMs vibe-coding prototypes and PRDs being replaced with “just build something and show me.”
But here’s what I keep coming back to: designers need these skills just as much as PMs do, maybe more.

Our stakeholders are adopting AI tools at a pace that’s hard to ignore. The workflows between design, product and engineering are shifting fast. If designers don’t build fluency in this space, they’ll get left behind.

Vibe coding isn’t about learning to code. It’s about learning to build.

When you can build with AI tools, even scrappy prototypes, you collapse the distance between an idea and something you can actually interact with. You get to explore AI behaviors and edge cases hands-on instead of trying to explain them through diagrams and long documents.

And as you experiment with different tools, you start developing a deeper understanding of the underlying tech, the constraints, the limitations and what’s truly feasible. That knowledge changes how you design. It sharpens your instincts. It gives you language and clarity your stakeholders instantly recognize.

This is also where designers make a shift. You stop worrying about perfect wireframes and start focusing on how to validate your assumptions. You move from being the person who “hands things off” to becoming a strategic partner who brings real, testable workflows to the table.

Designers who lean into this aren’t just speeding up their process. They’re shaping how AI products come to life.

If you’re ready to invest in these skills, take a look at MXDAI: https://bit.ly/48o50YD 
We learn by doing. You’ll explore a range of AI tools, build real workflows, and leave with a portfolio-worthy project that reflects how AI design actually happens today.

NOTE: Currently, Maven is offering a flat 25% discount on the next cohort and its valid only for this. week.

Lyssna

Growth Marketing Specialist

adplist.org

Growth Mentor

Passionfruit

Freelancer on the Passionfruit Platform, working on 3 projects.

Ruben Lozano Me

Projects:
- Cake Equity:
- Userpilot:
- Maze:
- Earthly:
- Nuclia:
- Holded:
- Deliverea:
- ImaginBank:

LEGALFLY

Performance Marketing Specialist

Cake

basesite

Userpilot

As a marketing analytics consultant at Userpilot, I provided strategic guidance and hands-on support to optimize their digital marketing efforts. My role focused on enhancing tracking and analytics across multiple platforms, including Google Ads, Google Analytics, LinkedIn Ads, and HubSpot. I implemented improved tracking systems, developed and analyzed advertising campaigns, and offered data-driven recommendations to boost performance and reduce costs. Key areas of expertise included UTM management, Dynamic Search Ads optimization, lead tracking enhancement, and cross-platform campaign analysis.

Performance Marketing Consultant

Worksome

Terawatt

Growth at Lyssna

With expertise honed in growth and performance marketing, my role as a Growth Marketing Specialist focuses on leveraging product analytics to drive user acquisition and retention. At the core of my competencies lies a deep understanding of user research, enabling tailored strategies that resonate with target audiences and optimize conversion rates. My efforts are instrumental in elevating startups to new heights through data-driven insights and innovative marketing tactics.

The intersection of creativity and analytical prowess defines my approach to performance marketing. Collaborating across disciplines, we've shaped dynamic campaigns that captivate and convert, evidencing the power of meticulous planning and adaptation in the fast-paced tech landscape. My mission remains steadfast: to deliver growth that not only meets but exceeds startup expectations, fostering a culture of success and continuous improvement.

Ruben Lozano

Do you want to improve 3 navigation mistakes on your product? Join Joe Formica on this workshop.

#UXDesign
#UXNavigation
#ProductDesign

3 navigation mistakes we see everywhere - the junk drawer, the org chart, or the catch-all.

Join Joe Formica for a free, hands-on workshop to help you fix (and avoid) all three. We’ll rethink navigation together using card sorting and tree testing to design navigation that actually makes sense to users.

You'll: 
🧭 Step into the role of a travel app’s design and research team 
🃏 Run a guided card sort to organize real content 
💬 Gather user feedback live 
💡 Analyze, synthesize, and turn findings into actionable recommendations 
🌳 Observe a tree test in action and learn how to use results to refine your navigation. 

Discover how small changes in structure can make a huge difference in how users explore, engage, and convert. 

Don't miss out: 
📅 Tues, Nov 25
🕚 9 AM – 10 AM (PDT) / 12 PM - 1 PM (EDT) 
👉 Register here (link in comments) 

#UXDesign #InformationArchitecture #UserResearch #Lyssna

This is a must-watch episode from The Diary Of A CEO for everyone who is involved in Artificial Intelligence.

Here is the link: https://lnkd.in/ejTu94G8

Tristan Harris
Steven Bartlett
#ArtificialIntelligence

End of the year slow down?... Never heard of it. 

We've been busy over here at Lyssna, take a look at what's been shipped over November 👇

👛 Spaces & Wallets
Organize your studies by team, product, or client. Set visibility rules (Everyone, Open, or Closed), manage who has access, and move studies between Spaces as needed. 

Allocate and manage Lyssna credits via wallets. Link to Spaces for controlled access and budget oversight. 

🙋‍♂️ Matrix questions
Allow participants to evaluate multiple items using consistent choices—ideal for comparison and sentiment analysis. 

📊 Usage reports
A dashboard showing activity across studies, credits, and team usage with filtering and export options. 

✍️ Improve writing with AI
New to Labs, we've introduced an AI tool that suggests edits to your study questions, flagging bias, clarity, and phrasing issues. See suggestions, the reasoning behind them, and apply the change in one simple flow.

Improvements
✨ Study Navigation
We’ve refreshed the top navigation in Tests and Interviews, repositioning study tabs for a clearer, more intuitive workflow. 

✨ Team Member Settings
We’ve also improved the Team Members settings area with a cleaner layout and updated styling to make managing team access easier.

And much more, check out the full changelog here - https://loom.ly/eqy5JBY

#lyssna #userexperience #UX #uxdesign #uxresearch

What's new at Lyssna - November product updates

Hey! Can you spot the 3 mistakes in this study? I only found 2... :D

#ResearchStudy
#LearnWithLyssna
#Workshop

Design Advocate | Educator | Sr. Product Designer. Constantly learning about great product design by doing it. Passionate about sharing the skills, experience, and lessons learned along the way

👀 Can you spot the 3 mistakes in this study?

Tomorrow I’m hosting a live workshop on the pre-launch checklist I use when reviewing studies at Lyssna. We’ll go beyond general research “best practices” and look at the small details and common mistakes that can quietly derail an otherwise solid research plan.

I put together a quick Lyssna study with three hidden issues that we’ll break down in the workshop (along with many others)

👉 Take the study as a participant:
https://lnkd.in/eeJr6udt

See if you can spot the mistakes and drop a comment with what you found (and for bonus points, how you’d improve it).

If you want to learn how to avoid these little pitfalls, and build a simple, repeatable process for launching your studies confidently - join us tomorrow:

Workshop Info  👇
Did you miss anything? A pre-launch checklist for every UX research study
Thu, Dec 4 · 12 PM EST
https://lnkd.in/eusD487u

Would love to see you there!

A common mistake in improving conversion rates is to focus solely on removing a few fields from the onboarding page, assuming that will be enough.  This won’t work; the journey begins long before that page. While it’s essential to review the details on each page, we ultimately need a holistic view of the entire experience.

Join Joe in the next workshop.

#ConversionRateOptimization
#Marketers
#Growth

No matter what kind of product you work on, you'll probably find conversions near the top of the ole' "metrics-we-care-about-a-lot" list.

Free trials, upgrades, purchases, inviting teammates ..at some point, you’ll be asked what can be done to “convert more users.”

...but “converting users” rarely comes down to the moment they hit "Sign up" or "Buy now"  - That moment gets too much attention, and it's easy to think the fix is better copy on a signup screen, or fewer clicks to get there.

In reality, conversions start way earlier.

They’re shaped by all the small decisions, comparisons, and questions users have throughout the flow. By the time they reach the final screen, they’ve already built up confidence (or doubt.)

If we’re guessing what users consider, prioritize, and what information they need to make decisions....then we’re also guessing how they’ll feel at the “conversion moment”.

If we understand their questions and give them the right info at the right time, the “conversion moment” becomes the natural outcome, not a hurdle.

Next week, I’m hosting a hands-on workshop where we’ll walk through a real flow, identify roadblocks, gather quick user feedback, redesign key moments, and test everything live.

If you're a busy product designer who wants to make an impact without long research cycles, join us!!

👉 Improve Conversion Rates Fast: A Live Design Sprint & Testing Workshop
 📅 Thursday, December 18
 ⏰ 12:00–1:30 PM ET
 🔗 Register: https://lnkd.in/eCi2wkaQ

Amazing achievement! Congratulations AirOps team! All of you.

I remember when I started playing around with the first board and nodes. More growth is coming.

CEO at AirOps - Take Action, Win AI Search

Meet the new AirOps. The only all-in-one content platform to rank your brand #1 on ChatGPT. We've raised a $40M Series B led by Greylock Partners.

People skip Google and ask ChatGPT "what's the best [your category]?"
And if your brand doesn't show up in the answer, you lose.

Here's how brands like Webflow, Chime, and Ramp use AirOps to win:

1. AirOps analyzes how often ChatGPT, other AI search engines, and traditional search recommend your brand. Page360 shows how each page performs across SEO, AI search, and your website's Google Analytics.

2. We highlight exactly where competitors get recommended and you don’t, then give you a prioritized roadmap so you know what to fix or create next.

3. AirOps connects to tools like Zendesk, HubSpot, and Gong, turning your data into inputs your team can use as context to make new content.

4. Automated workflows scale high-quality content, with human review at 5+ points.

5. In one click, publish agent-readable content straight into your website.

8-person marketing teams that once published 40 content pieces a month now publish 500+ with AirOps and outrank everyone.

This is how modern brands get found in the new AI era of discovery.

If you don’t 3× your AI traffic in six months, we’ll refund you up to $1M.

Book a demo here: https://lnkd.in/eJNv6zQw

Since you’re still reading, here’s a little bonus 👇🏻

We're giving away a 12-page internal AI Search Playbook that we have used to drive $100M+ in revenue for our clients.

It covers:
• Optimizing content for citations on ChatGPT
• Influencing the Reddit threads behind GPT’s recommendations
• The exact systems used by Ramp, Carta, and Webflow to 6× traffic

To the right person this guide is worth >$1M

Comment 'AIROPS' and we'll send it to you.

Join Joe Formica on the 25th of November for our next workshop, Design better navigation using card sorting and tree testing.

#JoeFormica
#Lyssna
#ProductDesign

Everyone’s got a "junk drawer" in their home, right?

That obscure battery you're looking for HAS to be in there somewhere…you just have spend a half hour digging through unidentified keys, tangled rubber bands, and a few ancient coins to find it.

That’s exactly what a lot of navigation feels like for users. 

As product peeps, we spend SO much time building valuable features, shaping the product, getting pricing right, improving flows…the least we can do is make sure people can actually FIND those things (without frustration).

Next week I’m hosting a free workshop where we’ll break down common nav mistakes (junk drawers, org charts, catch-alls) and walk through a simple, hands-on process for testing and improving your navigation so users get where they need to go quickly and confidently.

It’s free, and if you can’t join live, you’ll get the recording. 
👇Here's the link - hope to see you there :) 
https://lnkd.in/eN7mG6MA

I found this episode really interesting for all of us who are working with AI. I know many people don't know anything about what is coming.

Is AI shaping a future we didn’t ask for?

Well, AI risk expert Tristan Harris believes the real issue isn’t AI itself, but the speed and intention behind it.

Tristan is today’s guest on The Diary Of A CEO, a former Google employee who focused on tech ethics and the co-founder of the Centre for Humane Technology.

He became widely known for ‘The Social Dilemma’ where he revealed how social media was already reshaping our attention and politics. This technology is evolving faster than anything we have in place to understand or manage it.

Tristan has seen how these systems are built from the inside, he’s watched how a simple goal to “keep people scrolling” created addiction and mental-health fallout.

And now, those same aims are being applied to far more powerful AI systems with people inside labs believing AGI could be only a few years to a decade away…

So we covered:

- What happens when AI becomes more persuasive than people?
- What actually changed with ChatGPT and this new wave of AI?
- How do we protect children in an AI-driven world?
- Does misinformation get supercharged by AI?

I said to Tristan that this is the subject I feel the most responsibility talking about. It stays with me long after the cameras are off.

I feel like we’re at a real crossroads, a moment where the choices we make actually matter. And the response to these AI conversations has given me hope.

I was honest with him that I find it hard to feel optimistic at times. Not because change is impossible, but because the probability of us acting in time doesn’t feel high.

But I believe in truth, in open conversation, and in using these platforms responsibly.

Do you want to participate and share your thoughts about an artwork for a podcast for Product Leaders? Choose between the options and comment, or go to this link and give your vote.

https://lnkd.in/eYTFW-P4

#ProductLeaders
#ResearchMarket
#Participate

Building a community for product leaders (VP and Director-level). Founder @ Delight Path. 2x best-selling author. New book “Eureka” now available. Author of “Product-Led Onboarding” (+40K copies sold).

99% of podcasts are hour-long interviews with one guest. I'm launching a new show in 2026 that's WAY different...

There are now hundreds of thousands of business podcasts on Spotify. Most follow the same format: interview an expert, hear their best practices.

In 2026, that just won't stand out anymore (unless you're Joe Rogan or Mel Robbins).

So I've been workshopping a new format for the last year.

It's called the Product Leaders Lab. Here's how it works:

→ One impossible scenario per episode
→ Three veteran VPs or Directors who've lived it
→ Three completely different approaches
→ Documentary-style editing (20-25 min, not 60+ min rambling)

Here's an example episode called "The AI Ambush."

Your CEO just announced an AI pivot. Didn't tell you first. The product team is panicking. Board meeting in 48 hours.

What do you do?

I'll show you what 3 different VPs actually did:
1. The Collaborator (went straight to CEO)
2. The Protector (shielded the team first)
3. The Pragmatist (scenario-planned with everyone)

It's like a lab experiment. Same crisis. Three paths. Three outcomes. None is perfect.

At the end, you decide: What would you do in their shoes?

The first 10-episode season drops late Q1 2026 with Mariana Danylak (Director of PM, Growth at Slack), Betsy Shaak (VP of Product at Voxpopme), Netali J. (VP of Product at Maze), Partho Ghosh (VP of Product at Uberall), and more sharing their toughest decisions.

—

Now I need your help with three things:

(1) Which podcast artwork from the image resonates most?
Vote with an A, B, C, or D in the comments.

(2) Know a VP/Director/Head of Product who wants to be a guest on the show?
Tag them. I'm looking for leaders who aren't afraid to share their experience.

(3) I'm looking for 3 Founding Partners in 2026.

This isn't just a podcast. It's the Product Leaders Lab—a year-long content and community platform including:
→ AI Product Leaders Summit 2026
→ State of AI Product Leaders Report
→ Quarterly community programming

I'm offering Founding Partner spots with category exclusivity:

Product Analytics: Amplitude, Mixpanel, UXCam
Behavioral Data: LogRocket, PostHog, Fullstory
Qualitative Research: Maze, Lyssna, UserTesting
Customer Feedback: Canny, Productboard, Aha!

If your product serves VPs of Product and you want to co-create something different in 2026, I'd love an intro. I can send you the program overview.

—

PS. What impossible scenario would you want to see 3 VPs tackle?

PPS. Bookmark this for when you're debating what podcast format will actually stand out in 2026. Future you will thank me for trying something different. I'm happy to share 5 other podcast concepts I had before landing on this one.

taplio

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The Battle

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Ruben Lozano

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Engagements

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