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Matsui recalled the advice product thought leader John Cutler shared with him when he first arrived at Amplitude: “The systems and processes that create the product are as much the product as the product itself.” Matsui interpreted that to mean, if a process to launch a new product is subpar or if there are leakages in collecting customer feedback, it becomes challenging to build and ship a compelling product that adds value to customers.
Product Operations
Melissa Perri and Denise Tilles
Product teams understand that what matters is results. Whenever possible, product teams expect to be accountable for outcomes rather than output. But this works only if product teams are given a problem to solve (rather than a particular potential solution to build) and are then empowered to come up with a solution that works.
The reason people make this mistake? Few have discovered AI’s premier use case: as a thought partner.
I’ve personally taught more than 2,000 early adopters about AI (and Section has taught over 15,000). Most of them use AI as an assistant — summarizing documents or contracts, writing first drafts, transcribing or translating documents, etc.
But very few people are using AI to “think.” When I talk to those who do, they share that use case almost like a secret. They’re amazed AI can act as a trusted adviser — and reliably gut-check decisions, pre-empt the boss’s feedback, or outline options.
Thought Partner
Scott Galloway
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