Save the Dates!
Sept 21, 2021 @ 4:15pm ET:
The 2021 UXPA Boston Conference
Designing for Decision Support: What Product Design Leaders Need to Know About Enabling Successful Enterprise Data Analytics and Machine Learning Initiatives
Your data product, AI/ML models, and analytics are meaningless if the humans in the loop can't or won't use them.
Does your decision support application's UX make your users or stakeholders go like this when they see it?
Do you wish users and stakeholders had reactions to your solutions that looked a lot more like this?
Good design & UX brings results to data products, dashboards, intelligent enterprise software.
Analytics, AI, ML, cloud, IOT, data lakes–the buzz words are endless.
Users don't care about your tech.
Your data product, ML application, or service is delivering a user experience whether you intentionally designed it or not. Getting the "human-in-the-loop" part right is critical to:
$0 to $70k MRR in 120 days
An Analytics Case Study for Apptopia
I always considered you as the reference for a great UX designer so your name still comes up from time to time.
Brian's designs and recommendations significantly shifted people’s excitement and expectations about our technology. He understands data.
A big concern when you’re introducing new technology to your staff and clients is making sure they will want to use it. We were concerned about the ease of use and appeal of a new survey data platform we were introducing, but Brian was really able to understand our challenges quickly. His design and recommendations significantly shifted people’s excitement and expectations around it. A big reason why we hired Brian is because he understands data, and the new design he created will only help reinforce GSG’s brand as being innovative and ahead of the curve. My team has been really impressed with Brian's ideas and the simplicity of the designs he created. I definitely recommend him!
Brian brings a very high floor in terms of end results. The worst possible end result they will get from him is so much higher than what most designers can provide at their best.
When you’re bringing on a consultant, there is always a level of uncertainty about results, and there’s nothing worse than ending up with solutions that aren’t feasible, workable, or usable at the end of the process. While Brian’s processes differed from what I was used to, and I didn’t always want to get into the level of requirements detail that he felt was necessary, the bottom line is that Brian brings a very high floor in terms of end results. Given how many different responsibilities I am juggling at any given time, it was extremely comforting to know that my goals for the [new Apptopia analytics] product would always be met, and that my bottom line was so high. I’ve recommended Brian to my peers because the worst possible end result they will get from him is so much higher than what most designers can provide at their best.
I wondered at first whether Brian’s relative lack of experience in the patent/IP space would work with our team in the creation of a product like Legion, especially given the conservative, security-oriented corporate culture of Elysium. By the end, I realized just how much we needed Brian's approach, influence, and outside presence/energy to design a successful patent analysis tool. Brian made us think through the entire Legion product experience, and through this process, we learned to improve our own design skills. Today, our litigation consultants continue to use Legion regularly with clients. It has probably reduced collaboration overhead by 50% (which our clients love!) and allows consultants and clients to come together, using Legion’s data and analytics, to build shared understandings of patented inventions quickly.
Brian’s questioning of our business and user objectives for a new video analytics SAAS–prior to any discussion of design solutions–was a bit unusual for me. In fact, I’ve rarely met anyone with a process like his. That said, by the time we started negotiating with Brian, we had already decided to work with him. One of the key capabilities Brian brought to the table was the ability to help us distinguish between "vanity" analytics and "actionable” analytics, so that our service’s data was always presented in a way to help users actually make better business decisions. In the end, the prospects to whom we showed Brian’s designs were wowed by the extremely clean and elegant presentation of our video analytics, and we got excellent feedback that this design was much better than the existing, highly established players in this space. At that point, we knew our main business challenge would be sales access, and not product quality. If I needed to develop a design strategy for another analytics product or service in the future, I wouldn’t hesitate to call Brian first.