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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). a skateboard.

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Why Accessibility Matters in a Post-Pandemic, Majority-Digital World?

The Product Coalition

A practical look at how and why software designers can ensure digital services can be used by everyone. Many worked from home on tasks ranging from organising team activities via Slack, analysing data and collaborating on documents via Google Docs, to discussing strategies via Microsoft Teams and coaching clients via Zoom.

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Product in Practice: Assumption Testing with Engineers at Orion Labs

Product Talk

This is only natural: Through years of bad habits, many of us have shown engineers that we only value them for the code they can write. This is because they have a depth of knowledge of what’s possible technically. Engineers are often reluctant to participate in discovery. Engineers often generate the best solutions. Tweet This.

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The Disproportionate Impact of Coaching on Startup Survival

Bain Public

MAIN: Developing Entrepreneurship in Quebec. MAIN , also known as Mouvement des accélérateurs d’innovation du Québec, states that their mission is "to improve the cohesion and efficiency of the business incubator and accelerator ecosystem and to increase its impact on the development of entrepreneurship and innovation in Quebec.".

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Previewing a full chapter of The Cold Start Problem — my upcoming book dropping in December

Andrew Chen

Let me set it up in a few bullets: Many of tech industry’s most valuable products — Slack, Zoom, Instagram, Twitch, YouTube, and others — are at their core products that connect people to each other. These frameworks are targeted at teams building new products, first and foremost. I hope that’s a good teaser :).

Books 63
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Inside the Mind and Methodology of a Data Scientist

Birst BI

And it doesn’t help reduce the confusion when every tech vendor rebrands their products as AI. Exceptional data may point to data entry or software integration errors, but also may point to threats or opportunities. So, what do these terms really mean? What are overlaps and differences? But not all processes can be planned so reliably.

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Benn Stancil, founder of Mode, on how data science can help us make better decisions

Intercom, Inc.

That’s how I ended up moving from that job into an analytics job at a tech company in San Francisco. That was my first job in tech. However, we’ve had a great team. I worked there for a couple years as an analyst or data scientist. ” Just as you get good at it, you’re onto the next one.