How UX&Data Storytelling Can Shape Policy
How UX&Data Storytelling Can Shape Policy
Thinking Machines is a full stack data science consultancy, with offices in Manila Philippines, and San Francisco, California. We solve business problems with data.
About Me
SCALE: 1 circle = 1 hour 1 column = 1 week
Graphic Design Data Visualization
UX Design Web Design
Motion Graphics
Today: 01 Meet the Policy Makers 02 The Long Journey of Design Policy in the Philippines
03 How UX Fits Into Data Storytelling 04 Case Study 1: Road Safety Designing as a Citizen 05 Case Study 2: Road Budget Tracking Designing with the Government
01 Meet the Policy Makers
David Yap
The road to hell is paved with bad data.
Reina Reyes
02 The Long Journey of Design Policy In the Philippines
Design
Design "A way of thinking and a problem-
solving process that is user-centered, collaborative, multi-disciplinary and makes ideas
tangible, whether in the form of products, services or
experiences."
RA 10557
The City of Good Design
1239 km
The road to good design is full of red tape
03 How UX Fits Into Data Storytelling
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It’s not just about making it pretty
People feel threatened by very large numbers
Facts + Feelings = Data Storytelling
Visualization Analysis Framework
problem driven work
Anthropology/ Ethnography/
Psychology
Design
Computer Science
Tamara Munzner, Information Visualization
What kind of data is relevant to our users?
04 Case Study: Road Safety Designing as a Citizen
Get the most bang for your data
02 Road Danger Story Part 1
Road Danger Story Part 1
02 Road Danger Story Part 1
02 Road Danger Story Part 1
02 Road Danger Story Part 1
02 Road Danger Story Part 1
02 Road Danger Story Part 1
02 Road Danger Story Part 1
Road Danger Story Part 2 02 Road Danger Story Part 2
02 Road Danger Story Part 2
02 Road Danger Story Part 2
02 Road Danger Story Part 2
02 Road Danger Story Part 2
02 Road Danger Story Part 3
Road Danger Story Part 3
02 Road Danger Story Part 3
02 Road Danger Story Part 3
02 Road Danger Story Part 3
It’s not just a graph, it’s a graphic
NATHAN YAU
05 Case Study: Road Budget Tracking Designing with the Government
Roads are the arteries of a country
The Philippines will spend P766.5 billion on roads this year
Are the roads being built?
Multiple Agencies +
Multiple Databases +
No Unique ID
How do you follow one project from the first database to the last?
algorithm
The Matching Algorithm ✦ Text Normalization
the process of transforming text into a single canonical form that it might not have had before
✦ Text Vectorization
an algebraic model for representing text documents as vectors of identifiers, such as, for example, index terms
✦ tf-idf
short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus
Your idea is only as good as how you present it
The Matching Algorithm
The Matching Algorithm
The Matching Algorithm
Initial User Testing
Insights
✦ Personas: Government Officials, Employees, Accountants, Journalists
✦ Officials: Importance of Budget Integrity and Faithfulness Feature: Dashboard to look at the big picture
✦ Employees: Checking on Individual Projects Feature: More pictures
✦ Journalists: Looking for stories for their beat Feature: Maps
The City of Good Design
1239 km
In Summary ✦ Data Visualisation isn’t just about making pretty charts,
it has its own language.
✦ Making your visualisation more accessible and seen by more people is good. But if it miscommunicates, it can be worse than not being seen at all.
✦ Data can be cold, add emotion to humanise your story.
✦ Design should happen before data is processed.
✦ Who, What, Why, How?
#makefactscoolagain
Read more data stories on our blog stories.thinkingmachin.es
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@thinkdatasci
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