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Archie Abrams: belief

7 Nov 2024 Lenny's Podcast Breaking the rules of growth: Why Shopify bans KPIs, optimizes for churn, prioritizes intuition, and builds toward a 100-year vision | Archie Abrams (VP Product, Head of Growth at Shopify)

“I think with Shopify, we very purposely set up different parts of the org to think on very different time horizons and with very different ways of thinking about how to build product and the like.”

— Archie Abrams

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Speaker
Archie Abrams
Attribution
Verified speaker
Claim type
belief
Recorded
7 Nov 2024
Publisher
Lenny's Podcast

Transcript context

…Comment on that. It touches on something you said about how metrics aren't actually a driver of how you all think at Shopify, so take that wherever you want to go. Yeah. So it's interesting. I think with Shopify, we very purposely set up different parts of the org to think on very different time horizons and with very different ways of thinking about how to build product and the like. Very different than a lot of companies that typically, have maybe one kind of unified, there's one north star that the entire company is rallying around. And so there's three major product groups at Shopify. There's core product which is basically building the 100 year, the right things for commerce 100 years from now. There's merchant services which is building things like payments, shipping, the tools that entrepreneurs need to be successful with a more shorter or medium term horizon. And then growth is really thinking about that end-to-end customer journey. How can we bring folks on and make sure they're successful? And then from a metrics standpoint, we do have obviously some leading indicators in growth that we're looking at on a given experiment or what have you. But the key in what we try to instrument in our experimentation is the ability to really look at longterm effects of experiments. So we constantly will relook at an experiment a year later, see that the way the GMV curve for the distribution was different than we might've originally thought. And that'll actually change what we do from that previous experiment. And so there's a lot of longterm monitoring of experiments over these very long time horizons to both inform what those input metrics are and more importantly hold ourselves accountable to, did we actually move what we cared about, which is that longterm GMV, in the right way? Wow. Okay. I want to spend more time here. So the way you're describing it is the way the business operates is you think, what is our 100-year plan? How do we think, where does this need to be in 100 years? And with that, it allows you to run these long holdout experiments to see, is something we're doing impacting the business broadly? And because you think so longterm, you can take a year, or two, or three to see if there's an impact and then make adjustments versus I'm having to drive a certain metric every quarter, every year.…

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