1 / 17
Back to Week 1 Data Drawing Tutorial
Designers Communicate Through Design

We’re going to start simple — with drawing — and learn to see details and attributes we might not have paid attention to before.

Habits of noticing and collecting great (and poor) examples of design, and being able to articulate and analyze them, will build your internal repository of design possibilities and expand what you can remix in your own mind without tools. These habits can be as simple as photos and notes. They’ll make you a better designer.

Norman, Emotional Design, 2004

Design Considerations Designer Designed Product or Experience User Visceral how it looks & feels immediately Behavioral how well it works when you use it Reflective what it means to you and your identity The designer never speaks directly to the user. The product is the medium. After Norman, Emotional Design, 2004

Visceral

Your first reaction. Before you think. Color, shape, feel. “I want that.”

Behavioral

How well it works. Ease, effectiveness, satisfaction in use. “This just works.”

Reflective

What it means to you. Identity, story, pride. “This says something about who I am.”

Back to Week 1 Data Drawing Tutorial

Sketching is fundamental to ideation and design. Traditional disciplines such as industrial design, graphic design and architecture make extensive use of sketches to develop, explore, communicate and evaluate ideas.

— Tohidi, Buxton, Baecker, Sellen

User Sketches: A Quick, Inexpensive, and Effective Way to Elicit More Reflective User Feedback, NordiCHI’06

Back to Week 1 Data Drawing Tutorial

Many data visualization designers use old-fashioned sketching and drawing techniques on paper as their primary design tool: they sketch with data to understand what is in the numbers and how to organize those quantities in a visual way to gain meaning out of it.

— Giorgia Lupi

Information designer, partner at Pentagram. Co-creator of Dear Data.

Sketching with Data Opens the Mind’s Eye, 2016

Back to Week 1 Data Drawing Tutorial · Why Draw?
Why Draw Data?

Think more openly and creatively about your ideas

Create abundant ideas without fixating on quality

Invent and explore concepts visually — shapes, colors, marks that mean something specific to your data

Iterate quickly — rough-sketch on regular paper first, move to the handmade paper when something clicks

See patterns in your own taste that a list can’t show you

Archive ideas for later reflection — your WIP doc is your sketchbook

This week and beyond

Week 1: Dear Data Drawing

Your ~20 favorite designs, tagged with SEMINAL. The drawing reveals what you gravitate toward — and what you overlook.

Weeks 2–10: Sketching as design tool

Journey maps, experience prototypes, system diagrams, rabbit hole documentation. Every week, you’ll sketch before you build. The hand discovers what the mind hasn’t formulated yet.

Choose ideas worth pursuing

Sketching lets you try many directions cheaply. Most won’t work. The ones that surprise you are the ones to develop.

Back to Week 1 Data Drawing Tutorial · Why Draw?
Why Draw Data

When you draw your data by hand, you create from what you currently know. Then you read back what you drew — and see something you didn’t know was there. The drawing talks back to you.

A sketch is a simple designed product. You’re communicating through it — to yourself (what do I actually see in this data?) and to one another on Monday (can you read what I made?).

After Tohidi, Buxton, Baecker & Sellen, NordiCHI’06

SKETCH representation (new) knowledge MIND Create (seeing that) Read (seeing as)

You draw what you know. Reading it back shows you what you didn’t know you knew.

Back to Week 1 Data Drawing Tutorial · Visual Variables

Images perceived as a set of signs.

Sender encodes information in signs.

Receiver decodes information from signs.

— Jacques Bertin

Sémiologie Graphique, 1967

Every mark on your paper can vary in these ways. Each one can encode a different dimension of your data. These are your visual alphabet.

Position

Where on the page

Size

Bigger = more

Shape

Category

Color (Hue)

Type, not quantity

Color (Value)

Light → dark = intensity

Orientation

Angle or direction

Texture

Fill, stripes, dots

Connection

Lines = relationship

Transparency

Faint → solid = emphasis

Enclosure

Boundary = grouping

Blur / Focus

Crisp vs. sketchy marks

Back to Week 1 Data Drawing Tutorial · Visual Vocabulary
Build Your Own Visual Vocabulary — color variation, thickness and length, shape variation, variations in sizes, symbol variation. Source: Lupi & Posavec, Observe Collect Draw, 2018
Back to Week 1 Data Drawing Tutorial · Color Palettes
Sequential, diverging, and categorical color palettes. Source: Lupi & Posavec, Observe Collect Draw, 2018
Back to Week 1 Data Drawing Tutorial · Practice
As the value increases: dot gets bigger, line gets thicker, circle gets darker, shape has more sides
As the value increases: line gets wobblier, star has more points, face becomes happier
Back to Week 1 Data Drawing Tutorial · Practice
Drawing as Measuring

Use your drawing as a way of measuring and capturing time. Set a timer and draw the following patterns until the time is up.

Starting from the dot, draw an ever-growing spiral for 5 seconds, 30 seconds, one minute
Back to Week 1 Data Drawing Tutorial · Practice
Draw as many small circles as you can for 10 seconds, one minute, two minutes
Back to Week 1 Data Drawing Tutorial · Practice
Draw every blink of an eye. Timer for one minute. For every blink, draw a symbol or mark.
Back to Week 1 Data Drawing Tutorial · Design vs. Experience
Desire paths as a metaphor for user experience and design. Source: Kurt Kohltedt, 99 Percent Invisible, 2016
Back to Week 1 Data Drawing Tutorial · An Existing Visual Language Watch: How to Read Music ↗
Music Already Did This

Musical notation is a visual encoding system. Every symbol maps to a specific instruction: pitch, duration, volume, articulation. Composers encode. Musicians decode. The score is the designed product.

Quarter

1 beat

Half

2 beats

Whole

4 beats

Eighth

½ beat

Sixteenth

¼ beat

Half Rest

silence

Whole Rest

silence

pp

Pianissimo

very soft

f

Forte

loud

ff

Fortissimo

very loud

Staccato

short, detached

Tie / Slur

connected

Sharp

raise pitch

Flat

lower pitch

Crescendo

get louder

Fermata

hold longer

𝄞 f time →

Shape = duration. Position on staff = pitch. Left to right = time. Symbols = how to play. A complete visual encoding system — designed centuries ago, still in use.

Back to Week 1 Data Drawing Tutorial · Walkthrough
From Table to Drawing

Imagine a student curated 6 designs and tagged them:

# Design Systems
1iPhoneM, A, S
2Patagonia jacketM, L, E
3Noma restaurantN, S, I
4Central ParkN, E, S
5ChatGPTA, S
6Repair CafeL, S, M

Questions this student might ask: Which systems do I gravitate toward? Are there gaps? Do my favorites cluster or spread?

Design Decisions

Color hue → SEMINAL system

S=red, E=green, M=blue, I=orange, N=brown, A=purple, L=gold

Shape → how many systems it touches

2 systems = circle, 3+ systems = star or flower

Position → when you first encountered it

Left = childhood, right = recent. Timeline of your taste.

Size → how much it matters to you

Big = life-changing, small = I admire it from a distance.

The legend explains your choices.

Without a legend, a data drawing is just a drawing. The legend is what makes it readable — by you later and by anyone else.

Back to Week 1 Data Drawing Tutorial · The Legend
A Data Drawing Without a Legend Is Just a Drawing

Your legend is the key that makes your visual choices readable. It should explain:

What each shape means

“Circle = 2 systems, star = 3+”

What each color means

“Red = Service, Blue = Material”

What position encodes

“Left = childhood, right = now”

What size encodes

“Bigger = matters more to me”

Look at the Dear Data postcards — every single one has a legend on the back. That’s not optional. It’s the design.

Federica Fragapane, Noise Pollution, 2020. Data visualization for La Lettura. In the collection of MoMA.

Federica Fragapane, Noise Pollution, 2020. Data visualization for La Lettura. In the collection of MoMA ↗

Back to Week 1 Data Drawing Tutorial · Studio
Now You

1. Look at your data table — your ~20 designs with SEMINAL tags.

2. Choose your visual variables. What will shape, color, size, and position each encode? Write these down first — this is your legend.

3. Rough-sketch on regular paper first. Experiment. Try different assignments. What reveals something interesting?

4. When you find a combination that surprises you, move to the handmade paper.

The goal is not a beautiful drawing. It is a legible one that inspires a conversation you can learn from.

The goal is a drawing that shows you something about your taste that you didn’t see in the table. Beauty comes from the clarity of the system you invent.