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Data Informed Design

3 Weeks

·

Cohort-based Course

Learn "Just Enough Data" to design recommendations, persuade your team to act, and show the ROI of UX

Previously at

Designlab Learning
Peraton
Northrop Grumman
Social Security
National Cancer Institute

Course overview

Transform Your Design Process with Data-Driven Insights

In today's ever-changing Design landscape, staying ahead of the curve requires more than just creativity—it demands data-informed insights. 


Whether you're struggling with getting stakeholder buy-in, showing your value as a Designer, or just getting design recommendations approved, Data-Driven Design can help.


Customer data, when combined with your existing design processes, can be the bridge that aligns Design work with Business goals, delivers the results Business are looking for, and persuades teams to act.



My Data-Informed Design course equips you with the skills to harness user data and transform it into actionable insights, ensuring that your designs are not only innovative but get buy-in from the rest of the team.


I was the Lead Contributor for Designlab's Data-Driven Design course, which involved mentoring both instructors and students on the intricacies of working with data. I've also written two books on the subject and implemented Data-Driven Design while leading Product-Led Growth initiatives.

Who is this course for

01

Design Leaders who want to implement user-centric processes but struggle to get buy-in for their ideas from leaders.

02

Mid/Senior Designers who want to persuade decision-makers to act on design recommendations

03

Design teams who want to be able to communicate with stakeholders more effectively

What you’ll get out of this course

Break down negative emotions and fears around Data

Designers may not often work with data, making it intimidating or unfamiliar. We'll break down any fears you might have around data. You will learn the most important lesson when working with data and the skills needed to find "Just Enough Data" to address your problem.

Refine user findings into actionable insights with Data

You will learn why typical user findings fail to drive action based on 6 criteria for Actionable Insights. Then, you'll learn to identify gaps in knowledge and how to use additional data to turn your findings into insights.

Create 5-minute stories, compelling narratives you can use (with no creative writing experience) to craft persuasive stories

You will learn how to connect your insights into miniature stories through two possible frameworks. No creative writing experience needed.

Craft Data Visualizations that emphasize insights and make them easily shareable across your entire organization

Data Visualization is an incredibly valuable job skill that overlaps in many ways with Design. You will learn everything from choosing the right Data Visualization to tips on making the Visualization insightful and easily shareable across your entire organization

Create simple but effective Design stories around your Design portfolio to engage your audience

The frameworks you use to craft Data Stories and Data Visualizations are also great to craft a Design Portfolios which explains problems, engages audiences, and highlights your work in a persuasive way.

This course includes

7 interactive live sessions

Lifetime access to course materials

89 in-depth lessons

Direct access to instructor

22 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jul 15—Jul 21

    Week dates are set to instructor's time zone

    Events

    • Jul

      15

      Introducing Data-Informed Design, and why it's important

      Mon, Jul 15, 3:00 PM - 4:30 PM UTC

    • Jul

      19

      Workshop 1: Refining your User Research into Insights through Data

      Fri, Jul 19, 3:00 PM - 4:30 PM UTC

    Modules

    • Intro: Why Data Informed Design matters, and how designers can use it

    • Refine your data: Turning user findings into insights with Data-Informed Design

  • Week 2

    Jul 22—Jul 28

    Week dates are set to instructor's time zone

    Events

    • Jul

      22

      Workshop 2: Understanding the Data Story Framework

      Mon, Jul 22, 3:00 PM - 4:30 PM UTC

    • Jul

      26

      Workshop 3: Building a 5-minute story around your data.

      Fri, Jul 26, 3:00 PM - 4:30 PM UTC

    Modules

    • Finding a narrative among data

  • Week 3

    Jul 29—Aug 3

    Week dates are set to instructor's time zone

    Events

    • Jul

      29

      Workshop 4: Creating Data Visualizations to make your points more shareable

      Mon, Jul 29, 3:00 PM - 4:30 PM UTC

    • Aug

      2

      Final Project review: Tying everything together into a Data-Informed Design package

      Fri, Aug 2, 3:00 PM - 5:00 PM UTC

    Modules

    • How Data Visualization engages teams and makes your story viral

    • Putting your Data Storytelling together

What people are saying

        Working with Kai has been an absolute pleasure. He provided high-quality, engaging, educational content. He was also great at finding ways to bring the learning to life through storytelling and scenario-based writing. I highly recommend Kai for his writing skills, punctuality, thoroughness, and dedication to providing an excellent piece. 
Orla Williams

Orla Williams

Learning Experience Design Lead, Data-Driven Design, Designlab
        Kai is an outstanding writer. His articles are always thorough, with a clear narrative, and he always takes the time to dive into existing literature on the topic he’s covering before formulating his own point of view. His ability to craft high-quality content on a regular basis is something I truly admire.
Fabricio Teixeira

Fabricio Teixeira

Partner, Design @ Work & Co, Editor of Medium's UX Collective Newsletter

Meet your instructor

Christopher Kai Wong

Christopher Kai Wong

Senior Product Designer at Nanthealth. Top Design Writer on Medium (52k following). Data-Informed Design Expert. Designed for 1m+ users.

Kai has over a decade of UX experience in data-centric fields like Healthcare, Federal, and B2B/SaaS UX. His designs have impacted millions of vulnerable populations, including patients, senior citizens, and medical professionals.


He has often worked as UX team of one, communicating the value of UX to teams and organizations that may not fully understand. As a result, he has learned better, more effective communication by understand effective data-focused viewpoints.

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Course schedule

3-5 hours per week
  • Mondays and Fridays

    11:00 AM - 12:30 PM EST

    I will have live lectures with Q&A, reviewing this week's lessons. These will also be where I review student's exercise and provide live feedback

  • Pre-recorded lectures

    1-2 hours per week

    In these lectures, I'll dive into the specifics around Data, Narrative, Visuals, and more. This will be a more detailed videos on the stuff I cover live on Mondays and Fridays

  • Weekly projects and exercises

    2 hours per week

    These exercises, paired with the lecture, will help you practice the concepts you learn from lectures

Free resource

Read my most popular Medium article for free

This article is on the homepage of Medium.com, a site with 155+ Million visitors, and what they use to get people to sign up for the site. You can read it for free to get a preview of what I'll talk about in this course.

Get this free resource

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
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Data Informed Design

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