Jun 16, 2023 · 1h 2m · news
Noah Weiss: How to Master Product-Led Growth; Scaling PLG to Enterprise at Google & Slack | E1026 · 20VC with Harry Stebbings
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Slack CPO Noah Weiss joins 20VC to discuss the evolution of product management, detailing frameworks for scaling bottom-up software to enterprise-grade products while preserving consumer-grade design, velocity, and team alignment. He shares lessons from his time at Google, Foursquare, and Slack on executing roadmap strategies, maintaining product-market fit, and structuring modern product organizations.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 12.9% of the talking time here. How this is scored →
Harry as informed peer 3.5 Guest teaching 5.0 Guest disagreement 2.0 Harry pushing back 3.9
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 50:36 Dismissing rigid product management frameworks
Noah forcefully rejects conventional PM wisdom, calling out the over-professionalization of the role and criticizing PMs who blindly copy rigid frameworks.
Hardest push from Harry ▶ 30:40 Host challenges guest on Slack's innovation slowdownHarry refuses a polite premise and directly confronts the guest with public criticism that Slack's product innovation pace had slowed significantly.
Biggest teaching moment ▶ 25:14 Reframing simplicity in B2B user experienceNoah educates the host on product design nuance, explaining why consumer UX metrics like click minimization fail in enterprise software where guided flows build user confidence.
Harry holds his own ▶ 14:29 Host rejects Spotify CPO's debate model for execution speedHarry cites opposing executive opinion from Spotify's CPO to assert his own product conviction that fast execution on reversible decisions beats internal debate.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Lessons from Google: The 70/20/10 Roadmap Model | 3 | 5 | 1 | 1 | The host asks about Google product lessons chronologically and follows up on whether Slack applies Google's 70/20/10 model. The guest explains how they adapt the portfolio philosophy without blindly cargo-culting it. | |
| Takeaways from Foursquare: Constant Renewal of Product-Market Fit | 2 | 5 | 1 | 1 | The host verifies tenure via LinkedIn and asks for key Foursquare takeaways. The guest reframes product-market fit as an ongoing state that must be continuously renewed rather than a permanent milestone. | |
| Transitioning to a New Audience and Designing Beyond Yourself | 3 | 5 | 1 | 2 | The host asks how to balance customer requests against independent research when designing beyond early adopters. The guest shares how Slack had to learn enterprise controls after initially designing only for small teams. | |
| Developing and Scaling Slack's Product Principles | 6 | 4 | 3 | 7 | The host deliberately plays contrarian, arguing that Slack's product principles sound overly general and hard to operationalize. The guest defends principles like 'be a great host' using the analogy of fresh towels in a guest room. | |
| Product Decisions: One-Way vs. Two-Way Door Framework | 6 | 4 | 3 | 7 | The host bluntly disagrees with a quote from Spotify's CPO regarding internal discussion, asserting that execution speed on two-way doors trumps debate. The host also notes that Noah is the only guest advocating hybrid product reviews. | |
| Core Elements of PLG: Consumer-Grade Design and Simplicity | 3 | 5 | 2 | 4 | The host asks if simple is always better in product design. The guest explains that in B2B software, simplicity does not mean fewer clicks, as guided multi-step flows increase user confidence. | |
| Slack's Biggest PLG Lessons: Paid Trials and Slack Connect | 2 | 6 | 1 | 2 | The host prompts the guest for major PLG mistakes. The guest admits that neglecting paid trials led free users to assume Slack was naturally ephemeral, and acknowledges being overly slow bringing Slack Connect to market. | |
| The Traps of Scaling to Enterprise: Over-Rotating on the Buyer | 5 | 5 | 3 | 8 | The host directly confronts the guest with public perception that Slack's innovation speed slowed down. The guest fesses up to over-rotating on enterprise requirements between 2018 and 2020 before refocusing on end-user features. | |
| Determining When and How to Serve both SMB and Enterprise Users | 4 | 4 | 3 | 6 | The host interrupts emphatically to ask how product leaders prioritize when enterprise buyers and SMB users want opposite things. The guest outlines how end-user advocacy drives adoption across both SMB and enterprise segments. | |
| Managing Long-Term Product Bets and Prototyping Playbooks | 3 | 6 | 2 | 3 | The host asks how long it takes to know if long-term bets work. The guest describes their prototyping and pilot network playbook, citing the failed 'Posts' WYSIWYG editor as a lesson that speed is the foundational product feature. | |
| The Realities of Buy vs. Build and Post-Merger Integration | 4 | 5 | 2 | 6 | The host presses on why companies acquire products when prices are high, asking point-blank if Slack is good at post-merger integration. The guest candidly admits they excel at talent acquisition but struggle with technical product integration. | |
| The Loneliness of Product Managers: Building Fulfilling PM Organizations | 2 | 5 | 1 | 2 | The host prompts a candid reflection on personal leadership weaknesses over a metaphorical end-of-year drink. The guest shares his struggle in overcoming the inherent isolation PMs experience within functional teams. | |
| The Limits of Product Management Frameworks | 2 | 6 | 3 | 1 | The host asks which conventional product wisdom is fake. The guest criticizes the over-professionalization of product management and warns against blindly copying rigid frameworks instead of solving contextual team needs. | |
| Quickfire Round: CPOs, AI, and Product Leadership Advice | 4 | 5 | 2 | 4 | In a rapid-fire questioning round, the host peppers the guest on CPO timing, organizational tension, AI strategy, and leadership advice. The guest offers sharp, concise perspectives on Open AI and product execution. |
Statements from this episode (28)
Weiss: Speed is the most important feature for any product
“The most important feature by far for any product is actually speed.”
Google allocated product roadmaps 70/20/10 across incremental, growth, and moonshots
“They used to have this model, they called it the 70, 20, 10 model. And it's actually a pretty fascinating way of thinking about just a product roadmap and the distribution within it. So, 70% of the product Teams were focused on what are things that are known v…”
Weiss: Big tech employees rarely learn to manufacture distribution from scratch
“I think this is a knock on, I think sometimes folks have only worked at large companies is you have so much tailwind, you have so much momentum, you're so much distribution. You don't learn how to manufacture that from scratch, or you don't know how to turn th…”
Weiss: Product-market fit is dynamic and must be continually renewed
“But I think the thing I took away was that product market fit. People talk about it like it's a binary thing. You unlock it, and then you have it forever. And I actually think a much more accurate model is that you unlock product market fit, you get to maintai…”
Weiss: Foursquare reached 50 million users at its peak
“And it turned out, at peak, fifty million people in the world wanted this too.”
Weiss: Slack's original pitch deck targeted teams of 5 to 50
“If you read the initial pitch deck, which they shared when they pivoted the company, It said, Slack is a product for teams of five to 50 people. The initial conception of Slack was, after 50 people, this thing probably won't scale.”
Weiss: Scaling product organizations naturally leads to incrementalism
“As a company scales, I think there's a tendency towards incrementalism and kind of local optimization. You know, you have bigger and bigger organizations. You have feature teams. The feature teams may have a similar KPI. That is the one thing they feel directl…”
Weiss: Startups wait too long to establish explicit product principles
“Most companies wait too long to introduce them, whether they call them principles or maxims or design guidelines, it doesn't really matter. But I think it's really hard. If you're a product founder and you're a founder led company, I mean, there's all types of…”
Weiss: Most product decisions are reversible two-way doors
“The majority of things you're building as a private organization fall into two way door kind of decisions, especially things you can experiment with and then on release.”
Weiss: Slack has around 1,200 employees in product, design, and engineering
“Slack has probably around 1200 people across product design and engineering.”
Weiss: Slack uses manual spreadsheets to track executive quarterly priorities
“We wind up solving this like most people do at the end of the day, you use spreadsheets. So we have a Monday meeting, PD Monday meeting, as we call it, where like literally we just review in a spreadsheet, super manual process, but the top priorities for the q…”
Weiss: Most Slack product and design hires lacked enterprise experience
“The vast majority of people who have worked at Slack on the product and design side had never worked in enterprise software before.”
Weiss: Guided multi-step flows with more clicks outperform minimal clicks
“In enterprise software, often more clicks can be okay because you bring people along. So a guided flow where you're only making one decision per screen can actually perform a lot better.”
Weiss: In-product trials were Slack's top driver for paid conversion
“And so we want to building a really robust in product trial program, many ways to flow into it, a guided experience. How can you make sure you're getting the value out of it? And that was probably, I mean, honestly, the single biggest thing we did on top of th…”
Weiss: Launching Slack Connect earlier would have driven massive network adoption
“And I think frankly, especially given the competitive backdrop there, I think if we had not rushed it, but expedited into market back before there were more products that, you know, people were starting to use or get for free as defaults. And back when I think…”
Weiss: Slack product innovation slowed from 2018-2020 due to enterprise focus
“I mean, I think where internet was most true was 2018 to 2020. And I think I would, I think we would fess up to it entirely because back then, you know, this is again, I don't know if we could have done it differently. You're a small company. You can't do ever…”
Weiss: Startups scaling to enterprise must hire domain experts for compliance
“And I think they're, what I would really recommend, honestly, is like, that's where you do want to hire people who have domain expertise. You don't want a bunch of folks who worked at an early stage startup, had never worked in enterprise before to be like, le…”
Weiss: Slack prioritizes end-user experience above all enterprise buyer needs
“Our answer is that if we have to choose who we're serving above all else, it's actually the end user who's using the product and living in it for 10 hours a week. Because if we can make something that they love, that they feel like actually makes their working…”
Weiss: Over 85% of Slack enterprise customers originate through self-service
“Over 85% of our enterprise customers, so, you know, customers of over a thousand users, started in self-service. So they didn't call up our sales team didn't call them. They started by signing up on slack.com, like, just like an SMB, sharing it with some co-wo…”
Weiss: Social features cannot be tested at the individual user level
“Most of the new capabilities that we launch can't be experiments at a user level because there are social features, right? You can't sit in a huddle by yourself. You have to be able to use it with the rest of your organization.”
Weiss: Small-scale product acquisitions do not accelerate time to market
“When they were trying to actually buy a product, I think you're right. I think often the thing we've learned is that it doesn't actually decrease time to market. You might bring in expertise and that's a good reason to do it, but that's at least what we've lea…”
Weiss: Slack succeeds at talent integration but struggles with product integration
“I think we're good at talent integration. I think we struggle at product and technical integration.”
Weiss: PMs identify with cross-functional teams over PM peers
“Most product organizations, the PMs feel like their primary team is going to be the engineers and designers that they've worked with. Those are the people they work with every day that they have the closest connection to.”
Weiss: Enterprise North Star metrics are harder than consumer metrics
“Yeah, I think that that works and it's harder to do, I think in enterprise and consumer because, you know, really a metric you care about is are people willing to pay for the product, but most of the things you do in a product don't directly affect that metric…”
Weiss: Enterprise CPOs face the most organizational tension with sales
“I think at an enterprise software company, the answer is always going to be sales because what you promise to customers and what you can deliver to customers can often be at odds.”
Weiss: Early products are 75% art; mature features are 80% science
“Out of a really mature feature area, it's more science than art, because it's about optimization, and you have so much data on the scale. So there, I would say, 80, 20, science, art. I think, if you're at an early stage company, or at a really early, you know,…”
Weiss: AI product promises must match underlying model accuracy
“I think the prominence and a promise that you put into the product experience needs to match the underlying quality and confidence in the data and in the model.”
Weiss: Enterprise AI integration will dominate tech over the next 12-18 months
“You know, between the consumer product side, which I think there's not gonna be so many different variations that are gonna win, and then you have in the platform and the infrastructure side how do you enable every other company to integrate AI into their prod…”