Remove 2006 Remove Research Software Remove Vision
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Making Meta | Andrew ‘Boz’ Bosworth (CTO)

Lenny Rachitsky

Boz joined Facebook in 2006 as their approximately 10th engineer, and in his 18-year tenure he built the original News Feed, Messenger, and Groups, as well as many early anti-abuse and infrastructure systems. At various times he has been the engineering director overseeing Events, Places, Photos, Videos, Timeline, Privacy, and more.

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Let’s Talk About Faster Horses

The Product Coalition

I went to do some research to figure out whether it was true or not. In 2006, Henry Ford’s great-grandson said that the attribution to Ford was accurate. Understanding Even when you’re listening closely to customers, they’ll often speak in terms of solutions. Sounds like someone has been reading cruise industry magazines, right?

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Getting conversational: HubSpot’s CEO on a new species of disruptor

Intercom, Inc.

Old communication tools, like email and forms, simply don’t match the ways modern customers want to talk, connect, and receive help. At the time, the advent of modern technology, like caller ID, spam protection software, and ad blockers, offered a way to finally dodge brands’ non-relenting bids for attention.

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5 Costly Branding Mistakes

UX Planet

SELECT Branding Process by Shakuro Mistake #1: Neglecting market research Market research is the North Star of branding. They believe so strongly in their vision that they assume it’s universally appealing. This belief makes you disregard market research because you feel you already know everything customers want.

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Reflecting on the Intercom journey – Karen Peacock and Des Traynor in conversation

Intercom, Inc.

I moved out to the East Coast of the US to go to Harvard where I majored in applied math with a focus on decision systems and artificial intelligence before it was cool. And that was my first time in enterprise software – I’d spent some time in consumer software before that and did that for a few years.

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5 Machine Learning Lessons for Product Managers

Mind the Product

But with machine learning the solution itself is so exciting and novel that it’s tempting to forget to ask yourself why you need it in the first place. An ML system would probably catch more mistakes but would be far more expensive to build. It’s a combination of user research and expert consultation. What can we do about that?

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What Makes Amazon’s Product Strategy So Sticky?

ProductPlan

foot fungal cream, a family-sized bag of chips, and a pair of sweatpants) and the apps and services supported by AWS. By unpacking Amazon’s product strategy, we endeavored to see whether or not the company stayed true to its core vision and mission when put to the ultimate test. Then in 2006, Amazon added AWS to the product mix.