Designing Human-Centered Data Science Solutions

A 4-week seminar for talented data practitioners who want to learn to create indispensable data products, models, and analytics solutions.

Next Session Dates:

Last session was in Jan/Feb 2020.

Want to be first to know when it runs again and have access to subscriber-only discounts?
Get notified here.

 

Learn a blend of design, UX, analytics translator, and business skills you can use to simplify your solutions, bridge the gap between business and data teams, and increase customer engagement.

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.

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 instead of after you're done.
  • Imagine hearing, “This is amazing! Can we start using it now?” when customers see your solution.
  • Imagine management doubling your budget because your solutions are delivering enormous value.

The Designing Human-Centered Data Science Solutions Seminar is the answer.

 

When it comes to designing useful, usable, indispensable decision support solutions, the last mile–where humans decide (or not!) to use your solution–is critical if you want your work to matter. You’ve probably got some serious math, statistics, and technical background, but to many business people and end users, analytics, AI, ML, and tech jargon is a foreign language. They want clear answers and simple experiences that make sense.

Designing Human-Centered Data Science Solutions Seminar is a 4-week online design seminar for people who seek to create indispensable decision support experiences that users love. In this seminar, we connect the dots so your data products are designed from your human stakeholders' perspectives.

In the seminar, you will learn:

  • How to understand what will get appreciated and used sooner
  • How to spend less time and money building the wrong solutions
  • How to incur less technical debt
  • How to speak to the business stakeholder about the value of your work in terms they understand
  • How to identify the unspoken needs, desires, and whys in your customers' minds
  • How to turn vague “AI” requests into clear problems you can address
  • How to get everyone to agree on what to build before you build it
  • How to find out if customers will use your solution before you invest too much in it
  • How to navigate the organizational obstacles that might keep your solution from getting incorporated into productionHow to lead a cross-department design jams (ideation sessions) to generate possible UI/UX solutions before any code is written
  • How to learn to rapidly sketch, evaluate, and iterate on a design
  • How to use your existing tools to create indispensable products and services built on data
  • How to create better designs, not just how to do “design thinking”
  • How to switch from project to product-centered in your approach (not the same!)

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 webinar comes with a 100% money-back guarantee. If you aren't happy at the end, just let me know and I'll refund your money.

Dates, Seminar Format, and Student Experience

  • Next Seminar Start Date: TBD. The last edition began January 13, 2020.
  • 100% online, group format, featuring weekly lesson videos, hands-on activities (optional homework), and classroom discussion with the instructor. The seminar will take place in Slack and we will use Zoom for live video.
  • 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.
  • Time Commitment: 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 5-25mins, and written module texts are 3-10 pages typically. All live video time is optional; see below for details on video office hours and Q/A time.
  • 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 Video Portions (US/Eastern Time):
    • By Sunday each week, Brian will release the new video and module content to the Slack room and on Vimeo.
    • Each Monday at 12pm, there will be an open/live video call for participants to ask questions about the video content released that day. This will go as-needed, ending no later than 2pm. Video calls are recorded for on-demand access.
    • On Fridays from 12:30-2:30pm ET are office hours and critique/review time. Brian will definitely be online at this time, and available for ad-hoc group video chats that will be open to the full cohort. 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.
  • After-Hours Access to Brian/Slack Room: 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.

One of the best webinars I have been a part of…

One of the best webinars I have been a part of in awhile. The presenter had more than a product to sell, and Brian gave us 9 pertinent questions to ask ourselves when designing analytics for our users. Great!

Libby MedicusLibby Medicus
Report Analyst at Univ. of Montevallo (Webinar Attendee)

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)

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!

Michelle WoodruffMichelle Woodruff
VP of Practice Operations
Global Strategy Group

So much higher than what most designers can provide…

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.

Jonathan KayJonathan Kay
COO, Apptopia

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.

Who's this seminar for?

If you're leading the creation of a data science solution, data product, or decision support application, and you have responsibility to deliver business or customer value from it, then this seminar can help. Students may be:

  • Data scientists, analytics leaders, or analytics translators
  • Software product managers in charge of decision support, analytics, IOT, or monitoring products
  • Consultants and services firms providing data science, analytics, data viz, or UI solutions

Later parts of the seminar will be oriented towards the design of solutions that intend to be delivered via a software application or multiple applications, however 80% of the seminar will be relevant regardless of whether your solutions are delivered in a custom software data product, BI tool, Excel output, etc.

Curriculum

The seminar builds upon techniques used in design thinking, lean process, and others but also blends in consulting, business and product management skills. As apposed to being "all in" on one approach, we will explore how and when data product owners need to use analytical and creative thinking, how to choose between speed vs. quality, and balancing experimentation (trying solutions) vs. clarifying the problem/need (research).

Based on the student cohort, Brian will adjust the curriculum accordingly particularly around the special design considerations for machine-learning applications that may differ from traditional analytics. While many of the main design, business and product principles are the same, ML and AI introduce different considerations that need to be considered.

(8) Core Modules

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 webinar comes with a 100% money-back guarantee. If you aren't happy at the end, just let me know and I'll refund your money.

Space Is Limited

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

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.