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Run Less Software

Intercom, Inc.

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.

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MarTech Stack Examples and Tools For SaaS Companies

Userpilot

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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500: Evolving trends in product management: What every PM and VP Needs to Know – with Tony Ulwick

Product Innovation Educators

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%

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Alchemer Acquires Apptentive, Market-Leading Mobile Feedback Platform

Alchemer Mobile

January 4, 2023 – Alchemer – a global leader in experience management and enterprise feedback technology – announced today the acquisition of Apptentive, the industry leader in mobile feedback technology. Alchemer’s broader experience management platform allows those same respondents to provide deeper feedback.

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TEI 214: Want more innovation? Build a partner program – with Ed Krause

Product Innovation Educators

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.

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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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Building What Customers Need: The Ultimate Recipe

The Product Coalition

A few days back, I was chatting with a product manager at one of the biggest software companies of our time. Upon investigation, it turned out that automation was possible just by tweaking the systems. In fact, upon more profound research, it turned out that this automation wasn’t necessary at all.