Episode 37: Ravi Mehta- Product Management 101- Building for Tinder, Facebook, & Tripadvisor
About Ravi Mehta:
My next guest is Ravi Mehta. Ravi was the Chief Product Officer at Tinder, Product Director at Facebook, and VP of Consumer Product at Tripadvisor. He has an MBA from Sloan School of Business, MIT, and a Bachelor of Engineering from the University of Boston.
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In this conversation he talks about:
What makes product development challenging and exciting?
Mental and executional frameworks that Product Managers should develop?
How can products managers make good decisions?
Why difficulty in prioritisation is a strategy problem?
Why have Tinder, Facebook, and TripAdvisor products stood the test of time, especially when hundreds of clones come to market every year?
His views on the evolution of the Chinese tech product ecosystem in the last decade?
Metaverse’s future
Why do today's founders need to have a product orientation?
Entertainment Value Curve: Netflix Vs Quibi
Some Key Highlights:
The first framework I recommend product managers and product leaders to think about is what are the different product specialisations and where do you want to be a specialist or a generalist? Great products leaders and leaders, in general, are T-shaped; they're good at a lot of different things, but they're great at a couple of things that really differentiate them. So, early product managers should focus on getting in and getting the right opportunity, exploring different things and then figuring out their focus.
Companies that are very customer focused are often great at solving problems that their customers identify. But where that falls short is customers don't always know what they want, or they can't always envision the combination of what technology can do and how it can solve their problem.
It takes discipline to not grow as fast as you possibly can in the short term to then grow faster in the long term. This requires a balanced product decision-making process where you're not just making decisions based on what the analytics say but also intuitively on what's great for the customer and what the customer is saying to you.
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