Designing Human-Centered Data Products (Seminar)

An online, instructor-led seminar teaching software leaders the practical design, consulting and business skills needed to create indispensable data products & decision support applications.

You know the data and tech, but creativity is what unlocks innovation.

Prange cut in half, painted blue on the outside, on a matching blue background, showing the inside unpainted portion.

Next Session Starts March 15, 2021

Early-access registration begins March 1, 2021.
Join my early-access list below and get access to my DFA Insights mailing list, special discounts, and earlier access to register for the seminar before everyone else.

 

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 users felt your data product was a “game changer?”

  • 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.

Empathy—and 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 BI team or 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 decision support.

In the seminar, you will learn my design framework that teaches you to:

  • Uncover what users actually want and need using empathy
  • 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
  • Develop a "product" mindset to delivering decision support solutions
  • 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] Switching my mindset from outputs to outcomes was a total game changer for me.

“Brian's more practical, targeted approach in this seminar has been very beneficial as it was focused specifically on designing data products with UX in mind. It’s not every time you can meet someone, ask questions and get useful responses, and I was able to do that in Brian’s seminar. In addition to realizing some of the common mistakes I had been making, I also had a big aha moment: understanding outcomes versus outputs. This is more valuable than some of the tactical things because you shift your frame of mind and it’s a total game changer. The way you interact with your users and develop and deliver a solution completely changes. That’s the power of that wisdom. I’ll be referring back to the content and videos from the seminar now and again, and I’d definitely recommend this seminar to other technical product managers.

Meenakshi SharmaMeenakshi Sharma
Technical Product Manager, AI/ML
Wayfair

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. Past participants have included AI/ML PMs, Managing Directors and Principals at AI/analytics consulting firms, and Directors of Data Science.  You may be a:

  • Data scientists, analytics leaders, and analytics translators
  • Product managers (AI/ML, IOT, SAAS intelligence products, technical tools)
  • Consultants providing data science, analytics, or design/engineering consulting for data-driven products
  • BI teams who are ready to move beyond report building
  • Startup founders of new data products or decision support platforms

If you're good at the tech—data science, analytics, or engineering—but find it hard to make the tech simple, valuable, and useful,  you're a good fit!

[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)

Next Public Session Starts March 15, 2021

Join the Early-Access List

Registration begins March 8th, however people who join my early-access list will be entitled to special discounts and registration before everyone else.

Private Sessions for Teams

If you don't want your team to take the seminar with people outside your organization, we can run the seminar privately with your team. Pricing is based on headcount. Get Details:

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:

100% Money-Back Guarantee

If you're not happy after our first week and the first two live video calls, I'll refund your money, no questions asked. If you show up to all of the calls, actively participate in the session, and consume all of the modules—and still aren't satisfied by the end of the seminar—just let me know before the end of the fourth week. If I can't make it right for you during weeks 5 and 6, I'll still refund all of your money—no questions asked.

Seminar Format & Class Size

  • 100% online format via Slack, Google Docs, Vimeo, and Zoom featuring weekly lesson videos, hands-on activities (optional homework), and classroom discussion with the instructor.  We use Slack for chat (no email!), Google Docs for text-based modules, Vimeo for module videos, and Zoom for live video calls.
  • 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

Duration and Time Commitment

  • The total duration is spread over (6) calendar weeks; see below for details.
  • Module Time Commitment:  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.
  • Homework Time Commitment: There is no formal homework or grade given: the curriculum is best learned "by doing" and so the modules are intended to teach you how to start applying these principles in your work—today. Attendance at live-calls is optional; these are for your benefit, to hear what others are working on, and to ask questions.

Dates & Schedule

  • March 15, 2021 is the first day of the next 6-week session. Get on the early-access list here.
  • Weeks 1-4: Module Releases: each week, for the first 4 weeks, Brian will release (2) modules of curriculum inside the private Slack channel. You can access these pre-recorded videos and content on demand. I generally release these on the Friday before the upcoming Monday video call.
  • Weeks 1–4: Live Video Calls on Mondays & Fridays at 12pm ET:  Monday Zoom calls are primarily for students to ask questions about the modules that were previously released. Friday Zoom calls are open office hours. You can drop in anytime before 2pm ET.  Calls are not recorded by default unless a participant requests this in advance because of a planned absence.
  • Weeks 5 & 6: Extra Office Hour Calls on Fridays at 12pm ET: there are no Monday calls or new modules released in weeks 5 and 6, but there are Friday office hours during these final 2 weeks. These extra weeks are offered because some of the activities in the modules may take some time to arrange/set up within your org (e.g. you may not be able to apply all of Module 1 during week 1).
  •  Weeks 1–6: Private Slack Channel Access: Between official video calls, 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.

Pricing (Individuals & Teams)

Seminar tuition is $2,995/person, or $20k flat rate for a team of 7-10 people from a single company. You can register and pay online when registration is open, however teams should contact Brian first.

[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

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.

FAQ

100% Money-Back Guarantee

If you're not happy after our first week and the first two live video calls, I'll refund your money, no questions asked. If you show up to all of the calls, actively participate in the session, and consume all of the modules—and still aren't satisfied by the end of the seminar—just let me know before the end of the fourth week. If I can't make it right for you during weeks 5 and 6, I'll still refund all of your money—no questions asked.

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.

Space Is Limited

See the format section for details on the maximum session size.

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.

Next Public Session Starts March 15, 2021

Join the Early-Access List

Registration begins March 8th, however people who join my early-access list will be entitled to special discounts and registration before everyone else.

Private Sessions for Teams

If you don't want your team to take the seminar with people outside your organization, we can run the seminar privately with your team. Pricing is based on headcount. Get Details:

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

Photo by davisco on Unsplash