How to Sell Data Storytelling Services
Lesson 32 from: Data Storytelling: Deliver Insights via Compelling StoriesBill Shander
How to Sell Data Storytelling Services
Lesson 32 from: Data Storytelling: Deliver Insights via Compelling StoriesBill Shander
Lesson Info
32. How to Sell Data Storytelling Services
Lessons
Introduction
1Class Introduction
03:29 2Do The Exercises
00:37 3Communication Challenges and Solutions
05:20 4Exercise: 4X4 Model
04:31 5Exercise Solution: 4X4 Model
03:25 6Introduction - Quiz
Thinking Like a Communicator
The Power of Story
06:48 8Six Ways to Tap Into Your Inner Storyteller
12:32 9The Importance of Understanding Your Audience
03:42 10How to Understand Your Audience
04:35 11How to Embrace Emotion (to review)
04:38 12How to Tap Into Your Inherent Creativity
05:55 13Exercise: An Emotional Story
01:29 14Exercise Solution: An Emotional Story
01:12 15Thinking Like a Communicator - Quiz
Telling Data Stories
16Basic Data Analytics Tactics
08:54 17Basic Journalism Tactics
04:56 18Defining Your Story
05:37 19Sketching and Storyboarding
07:05 20Use Your Words
04:20 21Telling Data Stories - Quiz
Essential Design Principles
22The Power of Visuals
07:44 23How to Pick the Right Chart for Your Data
05:19 24Exercise: Chart Selection
06:27 25Exercise: Visualization
02:59 26Basic Chart Designs Principles
08:21 27Research Driven Design Principles
06:27 28Exercise: A Data Story
03:50 29Essential Design Principles - Quiz
And Now What?
30Great Data Stories for Your Inspiration
05:53 31Tips and Tricks
03:53 32How to Sell Data Storytelling Services
03:56 33A Conversation Guide for Talking to Prospects About Data Storytelling Projects
05:30 34Course Summary
02:48Final Quiz
35Final Quiz
Lesson Info
How to Sell Data Storytelling Services
selling data storytelling and visualization services is really a lot like selling other design services. It's very hard to do without a portfolio of work that you can point to and say see this. I did it. Okay. And this looks a lot like what you're looking for right for a client. So your first task is to create a portfolio, find some data and make some infographics or data visualizations or interactive experiences. There's no end of publicly available datasets out there just google public data or open data and you'll find tons. And as you found on this course there are resources like Fivethirtyeight that share data that's already been explored and could provide interesting places to start. Not to mention ongoing opportunities to practice like makeover monday. Okay Create at least 4-5 different projects that stretch different muscles. Focus on great design in at least one of them and interesting and unique visualizations in another and maybe a complex data set in at least one and maybe a...
simpler data set in at least one other. Okay, so your goal is to allow your audience to see their project in your examples. So the more variety the better. Another critical skill that you're going to need to develop to help you sell work in this field is you really have to understand data. You don't need to be a statistician or a data scientist or even a sophisticated data analyst. Okay. I'm none of those things but you do really need to understand and live and breathe certain key statistical concepts if you don't understand the difference between mean and median and which one is more useful than the other in different circumstances, you're going to have a tough time convincing a data driven client that you know how to help them. There are probably a dozen key concepts like this including things like per capita values, nominal versus real dollars when indexing and relative values might be more useful than real values. I'm not here to teach you those concepts but you can read books like naked statistics to help get a sense of the core principles that you should understand. You also really need to think about who's going to buy your services and live and breathe that world. For instance, my clients come from a range of industries, consulting firms, governments ngos universities, really all kinds of industries but I tend to work with specific kinds of people within those groups. People doing original research who have data, they need to communicate or the marketing and communications departments trying to help them communicate that data and public policy experts and advocates who work with data to implement or influence policy based on that data. So find your audience people whose data you find compelling and with whom you speak the same language and you'll find an audience for your work. Okay. Most of this advice is pretty universal. But in this data driven universe that I travel in, there's a higher standard than in other design fields. There's a really strong expectation that you're a bit of a unicorn, You're technical enough to get the work done, you're designing beautiful and interesting things, but you're also able to wrangle insights out of your clients and dr intelligent conversations about their data, even though you may not be an expert in their field, this requires acting like a journalist, being curious, asking smart questions, pushing back on the data and sometimes pushing back in your client's instincts about the data and their plans to communicate that data. All of this, of course requires confidence so developed and then be confident about your data chops in addition to your design and technical skills and let your clients see that in your conversations with them as well as in the work that you show them.
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