Thu.Apr 05, 2018

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Gina Gotthilf on growing Duolingo to 200 million users

Intercom, Inc.

For Duolingo, the world’s most downloaded education app, growth is fundamentally about retention. If users don’t stick around, they won’t learn and inevitably won’t share Duolingo with their friends. As VP of Marketing and Growth at Duolingo through 2017, improving retention was the top priority of Gina Gotthilf. In her five years there, she helped take Duolingo from 3 million users to more than 200 million.

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Using Deep Learning to Find Beautiful Photos by Alex Miller

Mind the Product

In this ProductTank San Francisco talk Alex Miller, one-time software engineer in the content understanding team at Yelp, gives us a case study of using machine learning (specifically deep learning) to provide a ranking system that surfaces the most beautiful photos of a business to the top of their page. Basic Photo Ranking. You may know of Yelp as a site where users post reviews of businesses.

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Wagile Product Development – Being Agile with Waterfall Clients

The Product Guy

In a recent live stream from one of our mentors of The Product Mentor , Jessica Fredican, lead a conversation around “Wagile”. We are always looking for more product mentors from all around the world. Signup to be a Mentor Today! Check it out… About The Product Mentor. The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by the fundamental goals… Better Decisions.

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The Importance of Knowing What You Don’t Know

Clever PM

As Product Managers, we’re called on a lot to weigh in on questions, considerations, and issues related to our market, our customers, and our products. And we’re often pressured to provide opinions either with or without sufficient data to feel entirely comfortable about drawing conclusions that we know people will rely on and act on — […].

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Six ecommerce UX trends for 2018

Userzoom

Graham Charlton gives the skinny on simplified navigation, brutalism, the death of flat design and more! Ecommerce is constantly evolving and from a UX perspective, I think we’ve generally been moving in a positive direction. Yes, there are still plenty of areas for improvement, but more online retailers now understand the importance of designing great user experiences , and the result is sites that are generally easier to use than they were five years ago.

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What sample size do you really need for UX research?

Userzoom

Demystifying sample size. I am sure at some point in your career you have heard, “ Jacob Nielsen says testing with 5 is enough. ” You might have also heard, “ Jared Spool say 8 is not enough. ” Market Researchers doing multivariate, A/B testing, and analytics say sample sizes of 1,000 or even 50,000 are not enough. So, which is it and why? Before looking at the answer(s) let’s look at an analogy.

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Come to TSIA’s Executive Professional Services Summit in Germany

TSIA

Join experts from TSIA and Siemens in Cologne, Germany this summer to learn recent industry trends and latest research in the area of professional services at the TSIA 2018 International Professional Services Summit! The topics we’ll be covering in this event follow the theme of “Powering Up Professional Services to Optimize the Customer Value Journey,” where you’ll learn the best practices of successful professional services organizations, how to accelerate customer time

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WatchMojo’s immersion into Deep and Machine Learning

The Product Coalition

Big data holds big promises for WatchMojo. Back in Q1 of 2017, in my quest to create proprietary products and innovations to link past video views and engagement to future video projects, I had heard about algorithms that can learn from data without relying on rules-based programming. To create value for our viewers, I asked if we had a dataset, then set our objective to discover which videos would be highly engaging and shared.