I recently attended Jared Spool’s presentation “Insecure & Unintuitive: How We Need to Fix the UX of Security.” If you haven’t heard Jared speak then I recommend that you do. Jared is both highly entertaining and highly informative. In this presentation, Jared shared how organizations are losing millions of dollars because people don’t remember their … Read more
I was recently interviewed by Carlos Marquez, CEO at Connexa. He was looking for clarity around Agile development and the roles that Customer Experience and User Experience play. Here’s what I shared: According to the latest definition of Agile software development on Wikipedia: “Agile software development describes a set of values and principles for software … Read more
Mark Weiser gave us the concepts of ubiquitous and invisible computing. Ubiquitous – available to us anytime and everywhere – and Invisible – we don’t see it and it doesn’t get in our way of completing our task at hand. Nowadays, we expect our mobile phones, wearables, home systems, etc… to be ubiquitous and invisible – … Read more
I have two assumptions: our dependency on technology is only going to increase; and the need for that technology to be ubiquitous or invisible will be mandatory. I love Machine Learning and AI. And combined with UX, I believe we will make a better world. I have another assumption. There are some interactions that some … Read more
Steve Craig, Director of Products & Experience for Identity at Mitek, is a product leader known for creating and executing product vision and driving technology roadmaps in entrepreneurial environments as well as in Fortune 500 companies like HP and Intuit. He joins us today to talk about Experience Design as a Service (XDaaS). Thanks for joining … Read more
While attending San Diego’s Medical Device and Technology Network meetup, the always wonderful Dr. Joely Gardner, author, speaker, and industry leader human factors and usability testing expert in medical devices, software, and web-based applications, shared with us insightful, real-life stories from the field. One of the things that Dr. Gardner shared is the FDA change from “User … Read more
With the advance of machine learning and “artificial intelligence” (AI), it has become the responsibility of both designers and data scientists to understand how to shape experiences that improve lives. As Greg Borenstein argues in Power to the People: How One Unknown Group of Researchers Holds the Key to Using AI to Solve Real Human Problems: … Read more
From Experience Design in the Machine Learning Era, Fabien Girardin shares that with a behavioral data-driven experiences, we exploit thick data, the qualitative information that provides insights on people’s lives, big data from the aggregated behavioral data of millions of people and the small data that each individual generates. Traditionally, designers focus on defining the experience of the service, feature or … Read more
“The experiences powered by machine learning are not linear or based on static business and design rules. They evolve according to human behaviors with constantly updating models fed by streams of data. Each product or service becomes almost like a living, breathing thing. Or as people at Google would say: ‘It’s a different kind of … Read more
“Nowadays, the design of many digital services does not only rely on data manipulation and information design but also on systems that learn from their users.” – Fabien Girardin, Experience Design in the Machine Learning Era Behavioral data – human interactions (transactions) with systems – is fed as context to algorithms that generates knowledge. An … Read more
Full disclosure, I love Aha! Product Management road-mapping software and have introduced it to several companies. When I saw this post by Brian de Haaff, Aha! Founder and CEO, I had to share it. Here’s what Brian shares on how to create a brilliant product roadmap: Define your strategy. What is the market potential, and … Read more
Andrew Chen shares in Minimum Desirable Product: “a business-driven company might try to assess viability upfront, thinking about metrics and revenue and market sizes. A feasibility (engineering) oriented organization might try to pick a super hard technology first (P2P! Mapreduce! Search!), then try to build a business around it. And a desirability-focused team might focus … Read more