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Product Dogfooding in Software Development: A Quick Guide (+Best Practices)

Userpilot

The term comes from a commercial and was first used in the software context by a Microsoft manager in 1988. Product dogfooding enables organizations to shorten the feedback loop by testing their products for bugs and usability issues before releasing them to the users. It’s a widely accepted practice in many organizations.

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How To Train a Transactional Chatbot Using Reinforcement Learning?

The Product Coalition

We’d like to thank Tremis Skeete, Executive Editor of Product Coalition for his valuable contributions in the research, development and writing of this article. You’ve probably heard of the following notable examples: Siri Developed by Apple, Siri signaled the era for digital assistants.

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17 SaaS Customer Success Best Practices to Improve Customer Retention

Userpilot

TL;DR Customer success builds long-lasting relationships, increases customer retention , lifetime value , and advocacy, and informs product development. Collecting feature requests to align product development with user needs. Sending in-app surveys to gather relevant feedback and iterate your strategy.

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What is Product Intelligence?

Amplitude

Product Intelligence software helps teams use their customer data to build great product experiences. If products do not entertain us, make us more effective at our jobs, connect us, inform us, delight and inspire us—we fire them and try something new. All while enabling self-service across lots of teams.

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How to Improve Customer Perception [+ Examples for SaaS]

Userpilot

poor customer service) can harm a business’s reputation. Referrals and reviews : Satisfied customers are more likely to recommend the service to others, driving organic growth. This way, you can collect feedback that’s relevant to their specific needs, improve their product experience, and close the feedback loop.

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The Fundamentals of Building Better Data Products

Mind the Product

At a local, project-based level we’re seeing that data is moving from being the source of reports to the centre of a product’s value proposition. As I see it there are three types of data products: data as a service, data-enhanced products, and data as insight. Data as a Service. Three Types of Data Products.

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The Podcast Ecosystem in 2019 – a16z’s 68 page analysis (Guest essay by Li Jin)

Andrew Chen

No wonder the consumer investment team ended up digging into this trend by doing a market map report — the analysis led by Li Jin and including work from myself, Connie Chan, and others. The report covers things in more detail at the end, but that’s the tldr; from an investment standpoint. Thanks, Andrew. But what to call it?