An operator’s guide to product strategy | Chandra Janakiraman (CPO at VRChat, ex-Meta, Headspace, Zynga)
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Why does product strategy feel like a mysterious, innate skill?
I started noticing that there was a certain mystique and aura about product strategy. There was this perception that some people were intrinsically really good at strategy and others were not. It was almost as if there was a strategy gene you needed to be born with to be good at it.
Say someone's sitting down, okay, I'm gonna start developing a strategy for our product. Where do you begin? What does this process look like?
In terms of what product strategy is, there is a smallest flavor of it which focuses on solving problems. I call present forward, and it typically operates in a two-year horizon. We use a five-stage process to get there, and uh it takes about eight to twelve weeks. The reason I think this process works is there is a ton of alignment built in. It goes back to human psychology of just something that comes from you feels a lot more familiar. Clear and easy to accept.
Let's talk about bigger strategy. When should you approach strategy this way?
There's this interesting quote by Elon Musk, which is Life's gotta be about more than just solving problems. I think this is true of every sort of company. There needs to be an aspirational and cool component to strategy. What does the product look like in sort of five to ten years? Why is the world better in ten years? And what is the most exciting version of that view?
Today, my guest is Chandra Janak Raman. Chandra is Chief Product Officer and Executive Vice President at VRChat. He was a product leader at Meta, Chief Product Officer at Headspace, a GM at Zynga, and a senior PM at Amazon. And the way this podcast episode happened was an avid podcast listener, Karthik Suresh, told me about Chandra at a community meetup. And when I connected with Chandra, it was clear that I needed to get him on the podcast. Chandra. Chandra is a student of strategy and has spent his career developing what he calls an operator's guide to strategy, which essentially pulls together the best ideas from good strategy, bad strategy, playing to win, Michael Porter, and others to create a very clear, reliable, and easy-to-follow five-step process to develop a great strategy and a set of next steps for your product and company.
After hearing Chandra walk through this in our conversation, I'm basically gonna now point everyone who wants to get better at strategy to this episode and Chandra's method. Strategy is at the heart of every great product and team and business, and it's also the source of so much pain if you do it badly. This episode is meant to help you avoid that. A big thank you to Karthik for making this connection. If you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. It's the best. Way to avoid missing future episodes, and it helps the podcast tremendously. With that, I bring you Chandra Janik Raman. This episode is brought to you by EPO. EPO is a next generation A B testing and feature management platform built by alums of Airbnb and Snowflake for modern growth teams.
Companies like Twitch, Miro, ClickUp, and DraftKings rely on Epo to power their experiments. Experimentation is increasingly essential for driving growth and for understanding the performance of new features. And Epo helps you increase experimentation velocity. Velocity while unlocking rigorous deep analysis in a way that no other commercial tool does. When I was at Airbnb, one of the things that I loved most was our experimentation platform, where I could set up experiments easily, troubleshoot issues, and analyze performance all on my own. Epo does all that and more, with advanced statistical methods that can help you shave weeks off experiment time, an accessible UI for diving deeper into performance, and out-of-the-box reporting that.
That helps you avoid annoying, prolonged analytic cycles. Epo also makes it easy for you to share experiment insights with your team, sparking new ideas for the A-B testing flywheel. Epo powers experimentation across every use case, including product, growth, machine learning, monetization, and email marketing.
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Chapters
7 chapters
1
Why does product strategy feel like a mysterious, innate skill?
0:00–26:07
2
What triggered Chandra’s interest in building a formal product‑strategy process?
26:07–53:39
3
How is product strategy defined and positioned between mission, vision, and the roadmap?
53:39–54:54
4
What framework does Chandra suggest for structuring a product strategy document?
54:54–59:14
5
How should teams roll out a finished strategy and align stakeholders?
59:14–1:14:48
6
When and how do you use the “big S” (long‑term) strategy process?
1:14:48–1:35:09
7
How is AI changing the way product strategy is researched and built?
1:35:09–1:47:18
Speakers
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