Designing Human-Centered Data Products

A 4-week instructor-led seminar that will give you the practical design skills you need to create indispensable data products such as decision support software, predictive models, and analytical SAAS products.

Next Session Dates:

Last session was in Jan/Feb 2020.

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Are you tired of building data solutions that don't get used or are undervalued?

Is low user engagement preventing your data initiatives from generating their full potential business value?

~85% of AI, data, and analytics projects fail to deliver value or make it into production. Your company or team can contribute to that, or you can join the 15% who are creating useful, usable solutions that customers need.

Are you sick of hearing customers say, “So what? What do I do with this data?” when they see your solutions?

Are you afraid your budget or team might be facing cuts because your solutions are having little impact?

Is it frustrating when all of your technical work ends up never getting into production, perhaps due to model trust?

Do you frequently get inflated requests to "use AI" or "ML" because the project sponsor doesn't understand what's possible with data?

Wouldn't it be amazing if the boss praised your solution as a “game changer” in front of the entire organization?

  • Imagine knowing what is going to get adopted by users before you start building the solution
  • Imagine hearing, “This is amazing! Can we start using it now?” when users see your data product
  • Imagine management doubling your budget because your solutions are delivering enormous value.

The Designing Human-Centered Data Products seminar is the answer.

Whether you're leading a commercial software data product (i.e. SAAS/cloud decision support, market intelligence, IOT analytics) or you oversee an internal AI/ML initiative where simplicity, user engagement, and successful operationalization are critical to value creation, you're in the right place.

If your data product relies on humans to engage with it, then success boils down to the UX you deliver in the last mile. Doing this requires more than technical or business skills. Design is the glue that connects the stats, analytics, AI, ML, and engineering work with the value and outcomes the business and customers seek. In short, users don't want data; they want clear answers and actionable insight.

In the seminar, you will learn how to:

  • Understand what users actually need
  • Avoid building the wrong solutions that incur technical debt and cost
  • Ensure stakeholders understand the value your data product will bring
  • Identify the unspoken needs, desires, and whys in your customers' minds
  • Turn vague “AI” requests into clear problems you can address
  • Get everyone to agree on what to build before you build it
  • Find out if customers will use your solution before you invest too much in it
  • Navigate the organizational obstacles that might keep your solution from getting incorporated into production
  • Lead a cross-department design jams (ideation sessions) to generate solution ideas
  • Learn to rapidly sketch evaluate, and revise a prototype/design/idea
  • Create better designs, not just how to do “design thinking”

[Seminar Student] a very solid framework to get started on design for data solutions

It's a quick and accessible snapshot of how to think about user design for data solutions products. You can go deep in UX design, you can talk about data solutions, but how do you combine the two in a very digestible way? I think it’s a very solid framework to get started. I would definitely recommend the seminar.

Wendy RobertsWendy Roberts
Principal
Manifold (AI Engineering Consultancy)

Who's this seminar for?

If you're leading the creation of a data product—commercial or otherwise—and you have responsibility to ensure the solution is useful, usable, and valuable to your customers, this seminar can help. You may be a:

  • Data scientist, analytics leader, or analytics translator
  • Software product managers focused on data  products
    (e.g. intelligence, decision support, analytics, IOT, or monitoring products)
  • Consultants and services firms providing data science, analytics, or design/engineering consulting for data-driven products

Later parts of the seminar will be oriented towards the design of solutions that intend to be delivered via a software applications.

Get Notified When Registration Opens Again

Tuition is $2,995 and space will be limited when the seminar runs again. Got a team that wants to join? Email brian@designingforanalytics.com for special team pricing.

Can't participate in the next seminar or want to hear about subscriber-only discounts?
Get notified about future seminars by joining my mailing list.

See below for details, the money-back guarantee,  curriculum, and format.

100% Money-Back Guarantee

The seminar comes with a 100% money-back guarantee. If you fully participate for one full week and aren't happy after that, just let me know, and I'll refund your money.

About the Online Format, Size, and Dates

  • Next Seminar Start Date: TBD. The last edition ran in January of 2020.
  • 100% online, group format, featuring weekly lesson videos, hands-on activities (optional homework), and classroom discussion with the instructor. The seminar uses Slack for chat and Zoom for video portions.
  • Maximum of (25*) students: you will also have full access to the other students in the class within Slack whether signing up as an individual or team. Learning with and from your peers is encouraged.
    *Please refer to the FAQ about minimum and maximum class sizes.
  • Includes: (8) video and text modules, plus special templates and cheat-sheets for creating project briefs, journey maps/service blueprints, UI cheatsheets, and usability studies

Time Commitment

  • You Choose: you can put in as much time or little as you want; the seminar is primarily designed around "learning by doing;" skills you can apply to real projects. Module videos tend to be between 5-25 minutes each, and written module texts are 3-10 pages typically.  Participation in the live portions is encouraged, but optional (see below).
  • Homework: There is no homework or grade given: design is best learned "by doing" and so the modules are intended to teach you how to start applying these principles in your work. I can provide a certificate of completion at the end, on request.

Weekly Schedule (for Live/Video Portions)

  • By Sunday each week, Brian will release the week's module content (written text + video recording)
  • Monday at 12pm ET, there will be an live video call primarily for participants to ask questions about the modules that were just released. You can drop in anytime before 2pm.
  • Fridays from 12:30-2:30pm ET are open office hours to ask Brian about any module, review/critique your design approach/progress, and listen in to other participant's questions.
  • Recorded: Video calls are recorded for on-demand access.
  • Between official video time, Brian will still be monitoring the Slack conversations during the week to comment or respond as questions arise, or to give follow up instruction/clarity. Students are also encouraged to trade ideas and chat with other students taking the Seminar. Some office hour video times are subject to slight changes; any changes will be worked out in Slack with the cohort.

Bonus: 2-Weeks Additional Slack Access

Get 2 extra weeks of access to Brian and the Cohort in Slack: At the end of the main (4) weeks of the seminar, students are welcome to access the Slack room and request written feedback from Brian and the other students for an (2) additional weeks. This is to provide you with extra time to try out the ideas in the Seminar and get feedback after the formal part of the Seminar has concluded.

[Seminar Student] Brian's process was holistic and internally consistent

"I never had fully appreciated the level of integration and the number of different disciplines required to arrive at a thoughtful piece of analysis that properly communicates the evidentiary support for my argument…What I like about Brian's seven step process is that it is holistic and internally consistent. Each piece builds off of the previous pieces…and Brian presents it as a repeatable process…There are a lot of things about designing UI things I just never would have thought of.

I think the people who will probably get the most benefit out of Brian's seminar will be people who are more senior level people. Junior people are just not being asked to deal with the entire lifecycle, which is what the seminar is about."

Brian ClancyBrian Clancy
Managing Director
Logistics Capital & Strategy

Well-structured agenda, easy-to-understand…

Well-structured agenda, informative contents, and easy-to-understand speech and text on a relevant topic.

Bulcsu Szekely Bulcsu Szekely
Researcher, LUT Group (Webinar Attendee)

I wouldn’t hesitate to call Brian for design strategy…

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.

Rohit SharmaRohit Sharma
Managing Director, North America
kPoint Technologies

Outstanding leadership in our field…

Thank you so much for your outstanding leadership in our field.  We really appreciate your value-added materials and presentation that advance the product management profession.

Karen DworaczykKaren Dworaczyk
Product Development and Mgmt. Assoc. (PDMA) Board Member
Principal, InsightOvation Consulting

Transformation begins by focusing on viewing the business from the outside-in

Internal customer-focused transformation begins by focusing on viewing the business from the outside-in — that is, from the customer’s point of view.

Curriculum:  (8) Core Modules

Adults learn by doing, and so my modules are focused on how you can take action—today. There are no grades or certificates. You'll be learning  skills you can apply immediately to begin uncovering latent customer needs and problems, when to apply analytical vs. creative thinking, and how to balance speed vs. quality. We'll also focus on when to prototype (make things) vs. research (further understand the customer) so your technology effort can move forward with more confidence and speed. Most modules also include a section on "Key Considerations for AI," which explain the special design considerations for machine-learning applications that may differ from traditional (descriptive) analytics applications. The modules are:

FAQ

Why Should You Study with Brian?

My name is Brian T. O'Neill, and I am the founder and principal of Designing for Analytics, a consulting firm that helps companies apply human-centered design to data science and analytics. I have worked with companies including DellEMC, Tripadvisor, Fidelity, JP Morgan Chase, ETrade and numerous SAAS startups so my perspective working in business, product, and UX design spans multiple industries and everything from tech companies to banks.

In addition to hosting the Experiencing Data podcast and consulting, I also frequently give talks at conferences including O'Reilly Strata, Enterprise Data World, the International Institute for Analytics Symposium, and Predictive Analytics World. After these talks, attendees started asking me if I had a training offering, and I said no. Until now.

100% Money-Back Guarantee

The seminar comes with a 100% money-back guarantee. If you fully participate for one full week and aren't happy after that, just let me know, and I'll refund your money.

Space Is Limited

Space is limited to 25 students.  Get notified when registration opens

Want a self-guided option?

My seminar is also offered as a self-directed video course for people who don't need an instructor, live Q/A video calls, or a cohort of other students to work with.

Questions?

Just email me at brian@designingforanalytics.com.

Can't participate in the next seminar or want to hear about subscriber-only discounts?
Get notified about future seminars by joining my mailing list.

Note: Pricing and other details in this seminar are subject to change without notice, however my subscribers are first to know about changes, additions, and special offers.