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.

Starts January 13, 2020

Not that you of all people probably need help doing the math, but that means we start in:

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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.

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 sposor 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

Regular tuition is $2,995, and space is limited to 25 students, however early birds can take the seminar for just $1,499. This 50% off discount is for a limited time only.

To get the 50% off discount and early registration access, simply pre-register below. There is no commitment to take the seminar if you pre-register.

Got a team that wants to join?
Email brian@designingforanalytics.com for further reduced team pricing.

Registration will open in December 2020.
The next seminar starts January 13, 2020.
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 and your audience 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: 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.
  • Duration & Time Commitment: a few hours per week, for (4) weeks. Optional: at the end of the seminar, students are welcome to access the Slack room and request feedback from Brian and the other students for an (2) additional weeks. This is to provide students with extra time to try out the ideas in the Seminar and get feedback after the formal part of the Seminar has concluded.
  • Weekly Schedule (subject to change):
    • On Mondays at 12pm ET, Brian will release a new video lecture topic followed by Q/A time and any optional homework assignments. Each lecture is recorded so students can revisit it on their own time. Brian will be online during this lecture time and available to respond to any questions about the lecture.
    • On Fridays from 12:30-2:30pm ET, Brian will be available for additional Q/A time about the previous weeks' homework.
    • In between the "official office hours" stated above, 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.
  • Next Seminar Start Date: January 13, 2020.
    Get Notified when Registration Opens and Lock In 50%-Off Early-Bird Pricing 

Great session, very different approach to other sessions experienced so far. It's incredible how difficult it is to ask open questions 😉

Attendee at O'Reilly Strata Conf.
London, 2019

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

Internal customer-focused transformation begins by focusing on viewing the business from the outside-in — that is, from the customer’s point of view. The ability to do this has changed hugely in the past two decades, largely due to the evolving body of knowledge around customer journey mapping and the critical importance of focusing on end-to-end business processes for customer value creation..

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. [...] 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. [...] 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

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 and your audience 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. Early birds who Pre-Register can lock in 50%-off pricing and will have access to register before the general public. Pre-register now to lock in the best price.

Questions?

Just email me at brian@designingforanalytics.com.