I am consulting product designer who helps companies design innovative human-centered data products powered by data science & analytics. Many analytics products, AI solutions, and machine learning applications fail in the last mile where human interaction is required. However, good product and UX design can prevent this. It accelerates and informs technology implementation and can ultimately make your product indispensable.
If your data-driven software has human in the loop, you know it is critical that the interfaces and UX be attractive, simple, intuitive, and valuable. They must provide decision support in the right form, at the right time. I can help you get this right, or you can take one of my training offerings and learn to do it yourself.
While I love helping organizations envision new data-driven products, I also help companies improve the look and feel, usability, and utility of existing solutions so that the value to your customer is obvious and indispensable. These can include cloud-based SAAS intelligence products, AI/ML products, IOT/hardware-based analytics, and monitoring applications.
Details on these services are outlined below, and I look forward to working with you, just as I have with companies including:
UI/UX Design for Data Products and Applications
Innovative software design for analytics products and machine learning / decision support applications
Are your stakeholders or customers:
- Complaining about the look of your visualizations?
- Telling you the product is hard to use?
- Going like this when they see your visualizations: 🤷🏻♂️🙁?
- Not trusting the ML/AI model predictions you produced?
- Still making decisions "from the gut" instead of via your analytics?
- Vague about what they want from your data (just make sure it has AI!)?
If so, I can help you turn these concerns into an engaging software/cloud/SAAS data product, internal application, analytics dashboard, or other visualization that you'll be confident about, and your customer will find indispensable.
Whether you're on the tech/data side dealing with tough customer demands, or the biz/product side trying to bridge the gap with your data and engineering teams, I'd love to help you design a more human-centered data product that produces positive outcomes for your customers and your organization. I also seek to work with companies who believe an ethical approach to using data and AI is important, and ultimately, the best long-term strategy.
The new design Brian created will only help reinforce GSG’s brand as being innovative and ahead of the curve…
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!
Interface Design Audit
For Data Products and Analytics Services
Do customers or business stakeholders struggle to perceive the value of your data product or model, despite significant data science and technical investment?
Are you seeing low user engagement with a SAAS analytics product, internal analytics service, custom data product, or other AI / decision support tool?
Got a data product, analytics solution, or model in production, but customers aren't seeing the value the way you had hoped? There may be a gap between what you think is tremendously insightful data and how they are experiencing it. Similarly, your data visualizations may be conveying evidence, but not the conclusions your customers need. A look and feel you are not confident in can also significantly affect how much customers trust the data you are showing them. And, predictive models can be highly technically accurate, but see low or no engagement because they aren't trusted or don't naturally compliment the workflow of your customers. Learn:
- Why your data product, application or service isn't getting the adoption you seek
- Why users may not be seeing the valuable insight you believe your data contains
- Where your service creates unwanted friction
- Why your solution may not be "selling itself"
- ...and what to do about it!
Get An Audit and Remediation Plan In Just One Week
Check out my Design Audit and Remediation Plan
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.
When Brian came on board, he helped us significantly accelerate our design efforts and meet our major enterprise clients’ expectations and deadlines. We have gotten a lot of mileage out of his work, and we've received good responses from our customers. I can’t recommend him enough.
Instructor-Led Online Seminar
Designing Human-Centered Data Products
If you're making a data product, service, or solution that is going to involve human users making decisions and taking actions with the information, then you're already doing design—even if you don't see it that way today. While it's getting easier to technically build AI solutions, predictive models, and data products, what eludes many technical people is how to get these solutions into production, make the product resonate with customers and delight the executive stakeholders who want to see an ROI on their data investments.
This online seminar is currently limited to 25 participants at a time, and is focused on "learning by doing" with a group of fellow participants. It was designed specifically with data strategists, data product leaders, and business stakeholders in mind and will give you a collection of step-by-step design methods you can apply immediately to produce useful, usable, engaging data products that deliver practical decision support. In addition to the cohort of students (in Slack), the seminar includes twice-weekly Q/A session via live video chat to help guide you through the pre-recorded video and text modules. Special team-based pricing is also available (please email me).
Self-Guided Video Course
Designing Human-Centered Data Products
My video course is a self-guided version of my instructor-led Seminar that includes all of the same curriculum without a cohort of other students or a live instructor. If you are good with self-directed learning, do not need other students to help motivate you, and are looking to work at your own pace, this course is the best option to learn a collection of step-by-step design methods you can apply immediately to produce useful, usable, engaging data products that deliver practical decision support. You can also download and keep the videos (via Vimeo) and the written module content (Word Docs).
Browse the Curriculum and Learn More:
(8) video modules with practical design advice you can apply today.
Since design is a team sport, my workshops help data science, analytics, and product/business leaders learn how to work together to deliver useful outcomes with data, instead of just outputs. I offer half-day, full-day, and two-day formats at conferences or in private settings. Engineering or architecture leads are also welcome to join these sessions if they are involved in coming up with the strategy and customer experience. Example workshops:
- The 1-Page, Same-Page Strategy Document - how to produce a useful, one-page product design strategy document for a product or initiative that will align the data/tech teams with their business/product counterparts around a common set of desired outcomes
- Design for machine learning and AI (from algorithm design to UI/UX)
- Turning vague requests for AI/ML into actionable data problems centered aroud real human needs/opportunities
- Accelerating a data product MVP with prototyping and sketching skills
- Conducting Problem-Finding Research and Usability Evaluations - learn how to do qualitative research and test your solutions for usability, utility, and value
- Turning IOT data and hardware telemmetry into useful performance monitoring applications and decision support experiences
I can inspire and educate your product/business and technical teams to start centering their analytics, AI, and data science work around people instead of the technology. My keynotes center around the core thing that organizations should be focused on when creating data products, AI models, and analytics solutions: useful, usable decision support. We'll look at the mistakes I see teams making, visual before/after examples, and discuss the business, customer, and ethical impacts of the design choices that teams make. If you're company is making applications, tools, or products with data, then you're already doing design—my keynotes will inspire your teams to start being deliberate in how they make design choices. I'm consistently rated highly as a conference speaker, probably in part due to my professional background in music as a drummer/percussionist. I've performed in front of audiences of over 100,000 people, and spoken to groups both large and small. My inspiring style mixes fun, sarcasm, seriousness, and the occasional tambourine solo. Here are some of my past speaking engagements.
I help executives and managers figure out how human-centered design helps data science, AI, and analytics initiatives to succeed. In private briefings and working sessions, I will share some of the common reasons data products fail, how to integrate human-centered design into, and explore new strategies or data products your company is working on (or should be!) These sessions are tailored to the organization’s specific needs and dilemmas. They vary from hour-long briefings to multi-day sessions exploring new strategies, the human-centered design process, and product concepts.
Data science practitioners need to have the non-technical skills to be effective collaborators with business/product stakeholders. Brian’s session was great, relevant, and on the mark for our audience of technical people and business sponsors."