Miro CEO on Leading AI Product Expansion Without Losing Focus | Andrey Khusid | E282
Episode
28 min
Read time
2 min
Topics
Productivity, Startups, Fundraising & VC
AI-Generated Summary
Key Takeaways
- ✓Day One Thinking Framework: Ask yourself daily if you would start the company today, how would the product look and what market would you target. This mental model helps determine whether small evolution or critical rebuild is needed to stay relevant.
- ✓Transformation Adoption Reality: Expect 25% of people to believe in major transformation, 50% to support but watch cautiously, and 25% to push back. Focus energy on building the team that shares your conviction rather than convincing skeptics, similar to early startup dynamics.
- ✓Customer Empathy as Validation: Spend majority of leadership time on customer calls demoing prototypes and validating direction when betting company on next horizon. Combine firsthand insights with team observations to separate signal from noise and build organizational conviction for major pivots.
- ✓Speed of Learning as Moat: The primary competitive advantage is how fast an organization recognizes signals, separates them from noise, and acts. In the fast fashion era of AI-generated software, learning velocity matters more than data moats or vendor lock-in strategies.
What It Covers
Miro CEO Andrey Khusid explains how the company evolved from a simple whiteboard tool to a $17 billion visual collaboration platform, navigating four major product pivots while preparing to launch AI-powered innovation workspace capabilities.
Key Questions Answered
- •Day One Thinking Framework: Ask yourself daily if you would start the company today, how would the product look and what market would you target. This mental model helps determine whether small evolution or critical rebuild is needed to stay relevant.
- •Transformation Adoption Reality: Expect 25% of people to believe in major transformation, 50% to support but watch cautiously, and 25% to push back. Focus energy on building the team that shares your conviction rather than convincing skeptics, similar to early startup dynamics.
- •Customer Empathy as Validation: Spend majority of leadership time on customer calls demoing prototypes and validating direction when betting company on next horizon. Combine firsthand insights with team observations to separate signal from noise and build organizational conviction for major pivots.
- •Speed of Learning as Moat: The primary competitive advantage is how fast an organization recognizes signals, separates them from noise, and acts. In the fast fashion era of AI-generated software, learning velocity matters more than data moats or vendor lock-in strategies.
Notable Moment
Khusid reversed his position on data portability after frustrated customers complained about export limitations, realizing companies must win on problem-solving capability rather than trapping customer data, especially as buyers actively avoid vendor lock-in solutions in today's market.
Episode Transcript
It's not just humans who have to create the next big thing. It's, humans and AI working together. Reinvention is critical, and my general approach is day one thinking. AI experimentation where a lot of things can get budget just because they're AI and can drive significant impact for the business. So it's like the market dynamic was weird, but I anticipated in couple years, it will be more and more of the consolidation. Number one competitive mode that every company has is the speed of learning and how agile, truly agile you are. AI is non deterministic and you need really can't throw AI on users on customers. You have to go and solve. Hey. This is Carlos's AI voice, CEO at Product School and your host on the product podcast. This episode was recorded live at ProductCon San Francisco, the AI conference for product leaders. Today's guest is Andre Khusid, cofounder and CEO of Miro, the leading online visual collaboration platform that's revolutionizing how teams around the world brainstorm, plan, and execute together. With over 100,000,000 users and an estimated valuation of $17,000,000,000, Miro is a cornerstone in product teams toolkits, empowering organizations of all sizes to accelerate time to market. In today's episode, Andre shares insights on Miro's evolution from a simple online whiteboard to a full fledged visual collaboration platform and how AI is shaping its future. The strategy behind Miro's success and the role of AI in streamlining workflows, driving productivity, and enhancing collaboration. The importance of building products that don't just meet the market's current needs, but anticipate where it's going, especially with the rise of AI powered tools. Let's dive in. Andre, you are back. We had our first fireside chat at Prodcon London back in 2018. Seven years ago. Wow. We joke that, you are the only one we could find on the stage, but, definitely, there are so many more candidates right now, and you earned the right to be here the same way you you did, seven, eight years ago. But you've been grinding for fifteen years. Yeah. Almost fifteen. We started the company in 2011. Some people don't even know that there was a previous name before Miro. Correct. Real time board. Yeah. So as you think about those fifteen years, what do you think as are, like, the those people time moments that help your you kind of refound your own company. Yeah. First of all, thank you for having me again after seven years. So it seems like we're on something big still and, appreciate all the opportunities to meet all of you. Yeah. It's been a a great journey so far, and we had to evolve and reinvent the company several times on that journey. So we started with this simple idea of bringing whiteboard into a browser. In 2011, it was not a thing. There were a couple small startups who were trying to do that, but it was quite a new idea because all …
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