Before You Write Your Requirements, Create a Prototype

Prototype your ideas before you develop them. Use prototypes to solicit feedbacks from subject matter experts to ensure you are solving the right problem, to inform stakeholders, get feedback from your customers, and collaborate with development. Before you write your requirements, create a “prototype.” This could be a sketch – or sketches –  on a … Read more

Crafting Experiences for The Enterprise

In 2007, I wrote an article for Pragmatic Marketer magazine entitled “Easy to Use for Whom: Defining the Customer and User Experience for Enterprise Software.” I opened the article with: “Enterprise software is only easy to use if the customers and users think it is easy to use. To determine “ease of use,” first understand … Read more

Death of the Password with Better Authentication Design

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

Experience Design Principles for Machine Learning

I find myself going back to Fabien Girardin’s excellent article, Experience Design in the Machine Learning Era, and mining it for more gold. Fabien shares: “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. If you would open the … Read more

Sometimes You Need to Show the Seams: Ubiquitous, Invisible and Seamless to Seamful Design

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

Fogg’s Seven Strategies to Influence Behavior in Experience Design

According to Dr. BJ Fogg, founder of the Persuasive Tech Lab at Stanford University and the Fogg Behavioral Model, persuasive technology uses seven strategies to influence behavior: Reduction – Simplify the task the user is trying to do. Tunneling – A step-by-step sequence of activities that guides 
the user through the behavior. Tailoring – Provide feedback … Read more

Experience Design, Machine Learning and the Platinum Rule

The Golden Rule or law of reciprocity is the principle of treating others as one would wish to be treated. It is a maxim of altruism seen in many religions and cultures. Simply stated, “One should treat others as one would like others to treat oneself.” As a child, I learned it as “Do onto others as you would want them to do … Read more

Group Personas

In some cases, you may only need to define a limited set of primary and secondary personas. It may be important to make the distinction between your buyer, user and influencer personas. But as you think through your scenarios, if you find groups of personas interacting with the environment or with other personas, you may … Read more

Design Thinking: A Brief History

You could say the basic principles of Design Thinking have always been around. It was these basic principles that early humans built tools and drew on cave walls. It required observation, experimentation and prototyping. Learning from each iteration and evolving the design and our evolution as a species. Just as is does today. In his … Read more

The Right Color Palette for Data Visualization

While visually appealing (harmonious) color palettes are easy to come by these days, finding the right color palette for data visualizations is challenging. Things are made more difficult, as we need to convey information across thousands of unique data sets in many different types of visualization layouts. And then there are issues like accessibility, enough … Read more

Design and Data Science: Creating Meaningful Experiences in the Machine Learning Era

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

The Partnership Between Designers and Data Scientists

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