Remove 2010 Remove Customer Feedback Remove Weak Development Team
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446: Winning at new products – with Bob Cooper, PhD

Product Innovation Educators

Some companies will retreat and cut their spending by cutting bolder long-term innovations, and we saw in the recession around 2010 that was a bad strategy. The customer’s needs have changed or the customers didn’t understand their own needs. They had to invent all those things.

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Minimum Viable Products: Why You Should Test before Investing in Ideas

The Product Coalition

Minimum Viable Products: Why You Should Test Before Investing In Ideas Let’s analyze the advantages of MVP-based software development. Why should you invest in MVP development? You can successfully prevent these problems by starting software development with a Minimum Viable Product (MVP). First, the developers create a wheel.

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HubSpot’s Michael Redbord on staying in touch with your customers as you scale

Intercom, Inc.

In a company’s early days as a lean, mean, business machine, it’s fairly easy for leadership to stay in sync with their users. But as the business becomes more successful – and there are resources to build a support team – additional layers begin to separate executives from their customers. Speak the customer’s language.

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Mobile Second: When Desktop is the Right Platform to Focus on First

Mind the Product

In 2010 Google announced it would prioritize mobile ahead of desktop when developing new products. Conventional wisdom now tells us that it’s almost always best to start with mobile, because the success of your business ultimately depends on its ability to attract and retain users with an app. Step 1: Customer Discovery.

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Growth Hacking with Customer Journey Mapping and AAARRR Funnel

Userpilot

The term “growth hacking” was coined by Sean Ellis in 2010 after he used this strategy to ignite unstoppable growth for Dropbox, LogMeIn, and other successful startups. Acquisition — Where are your potential customers coming from? Activation — How many users take the first step? Break down silos.

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5 Machine Learning Lessons for Product Managers

Mind the Product

Secondly, as great product managers are also great capacity builders for their teams, you should start looking for opportunities that AI can present for your product. From my experience, the problems that ML can help to solve usually fall into one of these buckets below: Could we make the user experience more tailored and personalised?

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How to Make Agile Work in Fast-Growing Startups

The Product Coalition

Six Fallacies that Prevent Startups from Adopting Agile Successfully From 2010 to 2017, I worked several years in three Berlin-based, fast-growing startups in my capacity as Scrum Master, agile coach, and Product Owner. All startups built double-sided marketplaces, serving B2C as well as B2B customers. Participation is free.)

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