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Jeff Weinstein: evaluation

11 Jul 2024 Lenny's Podcast Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead)

“We sat and looked at the same cheat sheets, we practiced the same quizzes, we read the same books, and he got the top grade in the class and I got the bottom and that's from where that quote came from where the professor said, I think you should bump, potentially bump down.”

— Jeff Weinstein

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Speaker
Jeff Weinstein
Attribution
Verified speaker
Claim type
evaluation
Recorded
11 Jul 2024
Publisher
Lenny's Podcast

Transcript context

…So I wanted to start with a quote that I found from you that I think gives a little perspective into how you think and how you approach the world. So here's the quote. "Very frequently I would do poorly on tests in school and then the professor would say very reasonably, 'Hey, I think you should bump down a level to the previous semester's pace,'" and you said, "I actually know that, that's why I'm in this class. I want to be in the class that I'm potentially the worst at." This isn't how most people think. This isn't how most people operate. Usually people want to get good grades, they want to be at the top of their class. Clearly you have a different approach and a different mindset. Where did this come from for you and how did this shape the way you think about product and the work that you do? Some of it was just the fact that I wasn't particularly good at the class and had to rationalize it for myself in some form. So in retrospect that sounds highfalutin, but at the time I just wasn't particularly good at the classes I was in. But I think it comes from growing up. I went to a pretty hippy-dippy K through 12 school in Baltimore, Maryland where we were really asked to think about why we were in school and to pick any of the courses that were of interest to us outside of AP programs or grades or any particular requirements. You really got to choose your own path. And I recall one particular class in high school, which was somewhat a science class, but it was called the History of Science, and we actually walked through and studied all of the, at the time, best understood ways the world worked in science, but then later were turned out to be wrong, right? In the 1500s we believed X, Y, and Z. In the 1600s we believed A, B and C. just very confidently. In 1500s we thought something and then the 1600s we thought something very different. And so this class was quite impactful on me where we spent an entire year studying things that are not true. It was fascinating. That particular teacher employed another trick on us during that class, which was it took the tuition fee of our school and divided it by the number of hours and wrote the cost on a ticket and then handed us in the beginning of the year. Tickets for every single one of the classes and he would stand at the door and you would have to give him a ticket at the end of the class that he thought it was worth it. And just like that practice of deep intellectual understanding of how people evaluated something at the time and choosing for yourself to spend the time on it by just the physical act of handing that ticket to the teacher. That really clicked for me. And so when I got to college and it was a real college university, people are coming from often quite more rigorous backgrounds of things that were true. I was a bit unprepared and I remember actually taking a microeconomics class that was quite advanced and had a close friend and we studied exactly the same information. We sat and looked at the same cheat sheets, we practiced the same quizzes, we read the same books, and he got the top grade in the class and I got the bottom and that's from where that quote came from where the professor said, I think you should bump, potentially bump down. I was like, "I already know that stuff. I'm interested in this topic. I'm going to try to improve, but look just because I'm significantly worse than the other kids in the class that has little to do with if I should leave." And he was particularly cool with it. This episode is brought to you by Pendo, the only all-in-one product experience platform for any type of application, tired of bouncing around multiple tools to uncover what's really happening inside your product? With all the tools you need in one simple to use platform, Pendo makes it easy to answer critical questions about how users are engaging with your product and then turn those insights into action. Also, you can get your users to do what you actually want them to do. First, Pendo is built around product analytics, seeing what your users are actually doing in your apps so that you can optimize their experience. Next, Pendo lets you deploy in-app guides that lead users through the actions that matter most. Then Pendo integrates user feedback so that you can capture and analyze what people actually want. And the new thing in Pendo, session replays, a very cool way to visualize user sessions. I'm not surprised at all that over 10,000 companies use it today. Visit Pendo.io/Lenny to create your free Pendo account today and start building better experiences across every corner of your product. PS: you want to take your product-led know-How a step further, check out Pendo's lineup of free certification courses led by talk product experts and designed to help you grow and advance in your career. Learn more and experience the power of the Pendo platform today at Pendo.io/Lenny. Today's episode is brought to you by Cycle. The AI-powered feedback platform for product teams. Is your customer feedback, a tangled mess of Slack threads, survey responses and overflowing inboxes? Wish that you could know what your customers really need? Cycle unifies all of your customer interactions from support chats to user research, gong calls and app store reviews into one neat collaborative space. Cycle's AI then extracts actionable insights on autopilot. Cycle will learn what you're building so that it can label incoming feedback automatically. That means you'll get a full voice-of-customer report without manually triaging feedback. Then simply you Cycle Ask to dig deeper into any topic and generate custom AI-generated summaries across your entire feedback repository. What makes Cycle different is the way that it lets you close feedback loops in each release. Feedback is not used just as a way to prioritize what to build, but also as a tool that creates trust with all stakeholders. Sign up for a free cycle trial today at cycle.app/Lenny and put your feedback on autopilot. That's C-Y-C-L-E.app/Lenny. It's really interesting that you went to this liberal artsy hippy dippy school as you described, which a lot of people bash on. Why spend all this college money and time on a liberal artsy education and you ended up being really successful in a very technical, highly analytical data-driven company, and it's interesting that that experience still helped you succeed in this other path.…

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