I can help you design forward-looking SAAS data products, apps using AI/ML/analytics, close the gaps between your data/eng teams and product/biz stakeholders, turn complicated analytics into indispensable decision support solutions, and train your data talent to produce more useful, usable, and valuable human-centered data products.
My services are outlined below, and I look forward to working with you, just as I have with companies including:
Design (UI/UX) for
Data Products, AI & Algorithms
I help companies design simple, innovative & valuable data products powered by AI & analytics. The "data industry" has a very low success rate in making simple, valuable software solutions driven by data, in part due to things like:
- Serving up analytics and "evidence" to users, instead of actionable decision support
- Data and business teams can't agree on the problems to solve or what outcome the technology must produce
- Interfaces and data visualizations are too hard to use ("uhhh....nice, but what do I do with this info?")
- Predictive models built with a data-first, problem-second approach that leads to a lack of trust and user engagement
- Teams are focused on building data "outputs" without designing them to produce "outcomes"
I think we can do better, and if you have one of these challenges, let's talk.
I invite inquiries from product leaders and data strategists who realize that AI, ML, and analytics efforts are only "innovative" if the last mile of the solution—where humans engage—is delightful, useful, and usable. While engagement is essential for any internal or external SAAS data product or solution to deliver value, I also seek to work with companies who believe an ethical approach to designing predictive algorithms and AI products will ultimately deliver the best value for them and their customers.
Whether you're on the tech/data side, or the biz/product side, I'd love to help you design a more human-centered data solution that produces positive outcomes for your customers and your organization.
The new design he 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!
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."
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.
One of my philosophies is that design is a team sport. 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. My seminars are intended to help data people and their business counterparts learn to be deliberate with their design choices so they can consistently produce useful, usable, engaging solutions that deliver practical decision support. As with the analytics translator role, my seminars will help talented data people improve their empathy, design, product, and consulting skills so they can deliver simple, useful solutions for customers. These seminars are held online using Slack and video, involve collaborative learning between the students, and are available for teams and individuals.
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
Design Audit and Strategy Roadmap for Data Products
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.
Get An Audit and Remediation Strategy In Just One Week
My design audit and strategy roadmap service is the fastest way to 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!
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.