Intercom, Inc.
FEBRUARY 26, 2018
The same is true in software. In this battle, I’ve found a secret weapon hidden within one of our core engineering strategies, an idea called Run Less Software. As well as being a critical philosophy behind how we build software, it also represents how I feel about the software industry and technology in general.
Userpilot
JULY 23, 2024
Thanks to the abundance of tools out there, marketing has never been easier. In this article, we examine some tools that can help your SaaS team to drive product growth. We will also consider valuable examples of tools that can inspire your process. Still, you may be unsure where to begin.
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Product Innovation Educators
JULY 29, 2024
His early research involved a simple but powerful method: asking customers to compare products. A key principle of ODI is keeping customers focused on their problems, not potential solutions. This ensures that the research captures genuine needs rather than preconceived ideas about products. It’s been about 93.5%
Product Innovation Educators
FEBRUARY 4, 2019
Choose the right university partners to drive research and innovation. To explain how their system works and tips for implementing a partner program, Ed Krause joins us. He is the Global Manager External Alliances Research and Advanced Engineering at Ford Motor Company. In 2006, we added Michigan and Northwestern to the program.
Intercom, Inc.
SEPTEMBER 22, 2020
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.
bpma ProductHub
JUNE 30, 2017
Remember, the precision and quality of your requirements must be properly researched, assimilated and presented to engineering in an actionable way to guarantee success. To quote another icon of business, Steve Job said, “You’ve got to start with the customer experience and work back toward the technology, not the other way around.”
Mind the Product
AUGUST 19, 2019
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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