May 18, 2023 · 1h 2m · lennys-podcast
Lessons on product sense, AI, the first mile experience, and the messy middle | Scott Belsky (Adobe)
0:00 / 0:00
▶ Watch on YouTube →
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this in-depth interview with Lenny Rachitsky, Adobe executive and author Scott Belsky shares actionable product management frameworks covering first-mile user psychology, deliberate feature reduction, navigating startup volatility in the messy middle, and leveraging generative AI to accelerate creative craft.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Lenny holds 27% of the talking time here. How this is scored →
Lenny as informed peer 4.8 Guest teaching 5.9 Guest disagreement 0.9 Lenny pushing back 1.2
speaking balance: gold is Lenny, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 17:14 Challenging the consumer dead-end narrative
Scott pushes back against Lenny's premise that consumer products are inherently fleeting by demonstrating how products like Uber and Pinterest built structural network effects rather than disposable interface tricks.
Hardest push from Lenny ▶ 46:19 Pressing on founder conviction nuanceLenny challenges Scott's binary conviction test for quitting, questioning whether bad days and fleeting doubts might mislead founders into prematurely abandoning viable startups.
Biggest teaching moment ▶ 9:30 The psychology of the first mileScott educates listeners and the host on onboarding reality, dissecting why users are inherently lazy, vain, and selfish in their first 30 seconds and why teams neglect this critical funnel step.
Lenny holds their own ▶ 25:40 Connecting product reduction to CEO coachingLenny demonstrates sharp domain expertise by synthesizing Scott's Behance feature-killing narrative with executive coach Matt Mochary's organizational streamlining framework.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Lenny as informed peer | Guest teaching | Guest disagreement | Lenny pushing back | Why |
|---|---|---|---|---|---|---|
| Scott Belsky’s Role and Longevity at Adobe | 5 | 4 | 1 | 2 | Lenny opens by citing industry context regarding the short tenure of CPOs and asks Scott how he managed to survive and expand his mandate at Adobe. Scott explains his approach to collapsing boundaries across engineering, design, and product. | |
| Cultivating Product Sense and Nailing the First Mile | 6 | 7 | 1 | 1 | Scott gives a masterclass on first-mile psychology, describing new users as lazy, vain, and selfish in their initial 30 seconds. Lenny connects Scott's points with insights from Shishir Mehrotra regarding continuous product-market fit challenges. | |
| Building Empathy and Designing for Surprise and Delight | 6 | 6 | 1 | 1 | Lenny cites Marc Andreessen and Spotify's Gustav Soderstrom to discuss customer attention and product magic tricks. Scott emphasizes observing users in real-world context and designing for unexpected delight rather than baseline expectations. | |
| The Mechanics and Durability of Consumer Products | 5 | 7 | 2 | 2 | Lenny questions whether consumer products can ever achieve lasting success given recent ephemeral trends like BeReal and Clubhouse. Scott reframes the issue by distinguishing momentary interface novelties from durable network effect engines like Uber and Pinterest. | |
| The Power of Feature Reduction and Ruthless Simplification | 6 | 6 | 1 | 1 | Scott describes Behance's aggressive feature-killing strategy to dramatically accelerate core project publishing metrics. Lenny demonstrates domain expertise by synthesizing this product simplification model with Matt Mochary's organizational reduction framework. | |
| How AI Transforms Workflows and Collapses Organizational Stacks | 5 | 6 | 1 | 1 | Scott elaborates on how AI moves builders from workflow to flow state and enables organizational stack collapse. Lenny shares his real-world experiment generating TikTok content with AI voice clones to validate Scott's thesis. | |
| Sponsor Message: Rose.com | 4 | 6 | 1 | 1 | After an ad break, Scott outlines how generative AI expands the exploratory surface area for designers and introduces his concept of the 'golden gut'. Lenny probes into how the product management role evolves when designers are empowered earlier. | |
| Embracing AI Through Play and Clarifying Thought via Writing | 5 | 5 | 1 | 1 | Scott recommends that PMs maintain relevance by actively playing with AI tools and forcing thought clarity through writing. Lenny reinforces the value of writing as an analytical forcing function rather than mere broadcasting. | |
| Navigating the Messy Middle and Evaluating Founder Conviction | 5 | 7 | 1 | 2 | Scott breaks down how founders must merchandise progress to survive the volatile messy middle and explains his litmus test for when to quit. Lenny presses Scott on distinguishing temporary bad days from true terminal loss of conviction. | |
| Angel Investing Frameworks and Founder Character Attributes | 4 | 6 | 1 | 1 | Scott shares his angel investing criteria, prioritizing introspective founders over promoters and looking for clean 3-question object models in UX. Lenny clarifies Scott's sector focus between consumer and enterprise. | |
| Resourcefulness Over Resources and the Power of Exceptions | 4 | 6 | 1 | 1 | Scott argues that resourcefulness builds enduring operational muscle in downturns and reminds builders that transformative companies are inherently exceptions to standard best practices. Lenny enthusiastically agrees. | |
| Adobe’s Strategic Horizon: Generative AI and Creative Confidence | 4 | 6 | 0 | 1 | Scott details Adobe's three core strategic waves: restoring adult creative confidence with Firefly/Express, 10x possibility exploration for pros, and deep personalization across commerce experiences. Lenny commends Adobe's turnaround. | |
| Lightning Round: Books, Parenting, and Favorite AI Tools | 4 | 5 | 0 | 1 | In the lightning round, Scott covers book recommendations, parenting strategies focused on instilling passion, and favorite emerging AI applications like Tome. Lenny draws a parallel to Kevin Kelly's AI intern metaphor. |
Statements from this episode (18)
Users in the first 30 seconds are lazy, vain, and selfish
“In the 1:30 seconds of using a new product, you are lazy, vain, and selfish.
You want to get it done super quickly.
You want to look good to your colleagues or to your friends.
You want to feel successful very quickly by engaging in this product.
You don't wan…”
Product teams mistakenly leave onboarding design to the very end
“It's fascinating to me that most teams spend the final mile of their time building the product considering the first mile of the customer's experience using the product.”
Scaling requires continuously redesigning onboarding for increasingly skeptical users
“The new customers you have in the early stages of your product are typically more willing and forgiving customers.
And you might nail the onboarding process for them, and then suddenly realize that, wait, it's not being as effective anymore.
And the reason is,…”
AI will enable applications to dynamically personalize onboarding experiences
“And I actually think that the role of AI, you know, going forward will be to have applications increasingly meet us where we are.
You know, to this day, we've always had to generalize onboarding experiences for the most part for everyone.
And I'm really excite…”
Scott Belsky was Pinterest's first seed angel and product advisor
“You know, I think of Pinterest, you know, I, and I was Ben's first seed angel or, you know, and product advisor”
Consumer apps serve as VC-funded R&D for tech incumbents
“I think that a lot of these other more recent consumer products are just kind of clever momentary interfaces. And they are in effect at the expense of venture capitalists R and D for the platforms that already have the network effects and already have the dist…”
Higher consumer tech literacy helps incumbent platforms absorb feature apps
“Fast forward to today, where all of us are far more technologically literate, and we are able to manage a lot more cognitive load in our everyday technology lifestyles. And so there, you know, suddenly we don't mind five tabs. We don't mind Features hidden and…”
Early product MVPs should optimize for the problems teams want to have
“Whenever I'm asked by teams what features need to be part of their MVP, how do they decide, you know, which features they need to ship first and whatever. I always tell them to optimize for the problems they want to have. You want the problem of customers gett…”
Focusing a product on one core action multiplies user velocity
“If you make the whole product about one thing, everyone does that, that core crank operates at like, 10 x the velocity, and if that's the most important metric for the business, that's gold.”
AI automation will expand employment within the experience economy
“I think that there will be far more people engaged in delivering experiences. You know, I'm very long the experience economy, because I think that there will be Some people liberated to focus more on the non-scalable things that really move the needle for expe…”
Lenny Rachitsky secretly uses AI-generated voice clones for his TikToks
“We haven't shared this, but a few of the TikToks are my voice generated with AI and they just write a script and it's me reading the story and it sounds sort of like me”
AI will collapse organizational hierarchies and eliminate specialized intermediaries
“We're entering the era where we collapse the stack in every organization, where instead of having to go to someone for anything, you can kind of do more things yourself. It's very empowering to get the answer from data as opposed to having to go to a data scie…”
Empowering design upstream in product development is a career cheat code
“So I love bringing design upstream. Like that's, in fact, that's probably been the cheat code of my career as a product leader, as has just been disproportionately empowering design throughout the process.”
Adobe is actively experimenting with generative AI outpainting in Photoshop
“So right now, I mean, in Photoshop, we're experimenting with when, you know, instead of just reducing an image and cropping, you can also extend an image. And that's, of course, using generative AI for outpainting.”
Product leaders must actively merchandise progress to maintain team motivation
“And so there's a lot of research around progress begetting progress and how progress is a source of motivation. And so as product leaders, we have to merchandise progress. We have to be the steward of this narrative.”
Every product screen must clearly answer three core user questions
“It's like, how did I get here? What do I do now? And what do I do next? And I feel like every screen and every product experience, you should be able to answer those three questions.”
Extraordinary venture outcomes inherently require defying standard best practices
“Anything, anything amazing in the venture world is ultimately An exception. And with all the best practices, Lenny, that you and I just discussed and all the stuff that we read in books and whatever else, I always try to remind myself that, you know, at the en…”