This is a two-part article focused on “what” to ask users of data science solutions and data products, and how to ask/conduct these types of research sessions. In part one, we will look at the “what,” and part two will cover the “how.” Human-centered design for data products and data science solutions doesn’t happen without … Read more10 Sample Questions to Ask Users of Data Science Solutions to Solicit Needs and Get Problem Clarity
A few years ago when I started DFA, I wrote this article that aggregates many of the studies on failure rates for big data, analytics, and now AI projects. It serves as a reminder that you can keep throwing money at data projects, but if you don’t focus on the people involved, you can easily … Read moreThink clean data is the blocker to your AI/Data Science initiative? Try people.
A three-part UX framework for designing your ML / predictive / prescriptive analytics UI around trust, engagement, and indispensability. As you continue to design interfaces and experiences into your analytics tools that rely more and more on machine-based analysis and prediction, the challenge within the design starts to change. Whereas before, we might be dealing … Read moreC-E-D: A Design (UX) Framework for Integrating Advanced Analytics into Decision Support Software
Low engagement; it’s a common challenge for many of my clients and the people I talk to in the analytics world. In fact, it’s the subject of my talk this year at the IIA Symposium next week. One of the concepts with design I like clients to think about with analytics is around whether your … Read moreHow do you make data products and services engaging without AI and advanced analytics?
AI and Machine Learning Are Not a Panacea for Underused Analytics Services Ears, Eyes and Empathy Guide the Best MVPs Since AI, predictive, and prescriptive analytics are big right now, there is a tendency for companies to “want” to use this technology and throw it into their marketing jargon as well. Boards and executives are … Read moreKeeping Analytics Solutions in Check with Customer Needs
Author’s Note: This article was originally published to my mailing list, hence the reference to previous emails and published podcast episodes. Before I jump into this week’s article on MVPs for custom data products, just wanted to address one listener’s response to the new podcast in case others had the same experience. Re: the audio … Read moreDesigning MVPs for Data Products and Decision Support Tools
I recently started playing percussion in a new Celtic ensemble in Boston called Ishna, and we were recently invited to be a guest artist with Symphony NH (New Hampshire). After our concerts concluded, the executive director invited Ishna to a dinner with some of the symphony staff and board members. This is pretty typical: board members … Read moreDoes your data product enable surgery, or healing?
Good design happens at the intersection of discovering real user needs/wants and business goals that are ACTIONABLE (by design and engineering). Yes, there’s a little magic/instinct that creeps into good design too, but you can get far without a lot of this magic. It’s really more about nailing the problem set, and having really clear … Read moreReasons your next sprint, product, or project might fail
So a guy walks into a bar and starts talking about unsupervised learning… Ok, not quite. Well actually, where I live in Cambridge, MA, that’s not really so improbable 😉 I found this article on Medium interesting, written by a data scientist talking in part about why data science projects may not be working, and one of … Read moreFrom a data scientist on Medium: “It’s easy to not understand your customer’s needs.”