SlideShare a Scribd company logo
1 of 95
The Simpsons,
Design, and
Data UseAmanda Makulec | Excella Consulting
Barb Knittel | John Snow Inc.
MERLTech 2017
Featuring work
funded by
D E S IGN
THINKING
How can we put
ourselves as
designers into the
data user’s shoes?
What are our
data user’s wants,
needs, and
interests?
What are our
data user’s
challenges and
pain points?
EMPATHY
STORIES
CHAR
ACTERS
https://www.youtube.com/watch?v=q1a7tiA1Qzo
OUR DE S IGN
JOURNEY
Design framework adapted from Stanford d. School
From “Applying User-centered Design to Data Use Challenges:What we Learned”
https://www.measureevaluation.org/resources/publications/tr-17-161
18
20
Personas help us move beyond
job titles
stakeholder groups
organization names
and focus on the human side of
your audience.
Each persona represents a significant portion of
people in the real world and enables the designer to
focus on a manageable and memorable cast of
characters, instead of focusing on thousands of
individuals.”
“A persona is depicted as a specific
person but is not a real individual;
rather, it is synthesized from
observations of many people.
From:
https://www.smashingmagazine.com/2014/08
/a-closer-look-at-personas-part-1/
23
• LOVE data
• Hard workers and proactive in work
• Frustrated by environments that
accept
lower performers
• Desire for perfection can push them
to work long hours and burn out
Go Getters
• Full of energy
• Seek attention constantly
• Require very hands-on supervision
• Can be creative problem solvers,
but requires focused workplan to
stay on task
Hyperactives
• Always “busy” but do not produce
quality outputs
• Always miss deadlines and targets
• Flourish in an environment with no
consequences
• Full of excuses and avoid
responsibilities
Lazy Dodgers
design
sprint
PE RS ONAS
<CHARACTERS>
Identify your
stakeholder group(s).
District Health Executive Team
for example
Capture data on your
stakeholder group.
Analytical ability
Job function
Education
Programmatic knowledge
Access to tools
Motivations to use data
Pain points
Interests
Where they access information
Champion or opposition
Talking directly to members of your
audience gives you the greatest insight
into their wants, needs, and pain points.
If you’ve worked with this stakeholder
group before, you can also brainstorm
based on experience.
Identify 2-3 different
“personas” within each
stakeholder group.
District Health Executive Team
The Technocrat The Politician
segmented to
Name your personas &
give them stories.
District Health Executive Team
Rachel
The Technocrat
Pascal
The Politician
segmented to
Credit toThinkPlace Foundation, from the Innovations for Maternal, Newborn & Child Health
Initiative’s Care Community Hub
Identify common
characteristics and
differences
Wants stories Wants
numbers
Motivated by
passion
Motivated by
money
Act based on
feelings
Act based on
data
Resilient problem
solver
Frustrated
bureaucrat
Champion for your
issue
Oppose your issue
Wants stories Wants
numbers
Motivated by
passion
Motivated by
money
Act based on
feelings
Act based on
data
Resilient problem
solver
Frustrated
bureaucrat
Champion for your
issue
Oppose your issue
Rachel
the Technocrat
Pascal
the Politician
YOUR TURN:
PERSONAS
Design framework adapted from Stanford d. School
From “Applying User-centered Design to Data Use Challenges:What we Learned”
https://www.measureevaluation.org/resources/publications/tr-17-161
DEFINE
JOURNE Y MAPS
<STORIES>
Creating a journey map is an excellent way to
systematically think about the steps or milestones
of a process, and can be used in developing
empathy and in communicating about your work.1
You can use the steps on the journey map to
identify pain points for your data user that can be
transformed into opportunities for you in sharing
your data.
1 Definition from https://dschool-old.stanford.edu/groups/k12/wiki/d8073/Journey_Map.html
Pick a persona.
Map out the various (ideal)
steps that person takes
in making a decision.
Pascal
The Politician
Community
scorecard data is
collected in
Pascal’s district
Pascal takes action
with the district
supply chain team
to identify root
causes of the issue
Analysis shows
4 clinics in
Pascal’s district
have stockouts
of condoms
Pascal is
unaware of the
stockouts
NGO meets
with Pascal in
his office to
share the data
Pascal shares the
issue with the
District Health
Executive Team
The DHE checks the
logistics information
system and sees the
stockouts were not
reported
I am aware…
I think about my options…
I decide…
I seek…
I receive…
I share…
Use a set of
prompts if you’re
having trouble
mapping out steps
Identify the pain points
along that journey.
Pascal
The Politician
Community
scorecard data is
collected in
Pascal’s district
Pascal takes action
with the district
supply chain team
to identify root
causes of the issue
Analysis shows
4 clinics in
Pascal’s district
have stockouts
of condoms
Pascal is
unaware of the
stockouts
NGO meets
with Pascal in
his office to
share the data
Pascal shares the
issue with the
District Health
Executive Team
The DHE checks the
logistics information
system and sees the
stockouts were not
reported
Pascal has limited
time and needs
something short he
can easily share
with other DHE
members
The DHE may see
no stockouts in
their system and
doubt the accuracy
of the community
data
Identify how you could
address each pain point.
Pascal
The Politician
Community
scorecard data is
collected in
Pascal’s district
Pascal takes action
with the district
supply chain team
to identify root
causes of the issue
Analysis shows
4 clinics in
Pascal’s district
have stockouts
of condoms
Pascal is
unaware of the
stockouts
NGO meets
with Pascal in
his office to
share the data
Pascal shares the
issue with the
District Health
Executive Team
The DHE checks the
logistics information
system and sees the
stockouts were not
reported
Pascal has limited
time and needs
something short he
can easily share
with other DHE
members
The DHE may see
no stockouts in
their system and
doubt the accuracy
of the community
data
NGO creates a
one page brief
summarizing the
data and recs
NGO adds a spot
check of stock-
on-hand to the
scorecard
process
Credit toThinkPlace Foundation, from the Innovations for Maternal, Newborn & Child Health Initiative’s Care Community Hub
YOUR TURN:
JOURNEY MAPS
IDE ATE
PROTOTYPE
TE S T
Design framework adapted from Stanford d. School
From “Applying User-centered Design to Data Use Challenges:What we Learned”
https://www.measureevaluation.org/resources/publications/tr-17-161
IDEATE
70
73
74
PROTO
TYPE
BONUS
Build aTower, Build aTeam |Tom Wujec
A TED Talk on teams and prototype thinking with the marshmallow challenge
https://www.ted.com/talks/tom_wujec_build_a_tower
TEST
DO’S O F D E S I G N
T H I N K I N G F O R D A T A U S E
These are reflections from our experience applying design thinking
to data use challenges. Every design process is unique.
Use design thinking
as a facilitation tool
(but not a silver bullet)
Include data use-
adjacent participants
Allow enough time
to see the design
process through
Have a follow up
plan (and resources)
DON’TS
O F D E S I G N T H I N K I N G
F O R D A T A U S E
Rush the process
Rely on one
workshop to come
to a ‘perfect’ solution.
Design solutions
with a tiny group
more people = more ideas
…to a point
Panic if prototypes
are broad when you
finish a workshop.
Focus only on the
outcome: there’s
immense value in
the process.
“I am exciting about taking [these
activities] forward at a district level to
try and change the way people view
data, and ultimately, the way districts
plan their services within the limited
resources they have.”
- Provincial Deputy Manager for Planning, KZN
Favorite Resources for Diving in on Design Thinking
• Stanford d. School Bootcamp Bootleg
dschool.stanford.edu/resources
• IDEO Design Kit
ideo.com/post/design-kit
Amanda Makulec
DataVisualization Lead
Excella Consulting
amanda.makulec@excella.com
@abmakulec
Barb Knittel
Senior RME Officer
John Snow Inc.
barbara_knittel@jsi.com
Added acknowledgements to Michelle Li (MEASURE Evaluation) and our colleagues
at Matchboxology (Cal Bruns and Jason Coetzee) for their invaluable contributions to this work.
The Simpsons, Design, and Data Use

More Related Content

What's hot

Developing a strong grants program
Developing a strong grants programDeveloping a strong grants program
Developing a strong grants programJeff Sobers
 
Data Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to SeeData Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to SeeAndy Kirk
 
Allstate Foundation
Allstate FoundationAllstate Foundation
Allstate FoundationBeth Kanter
 
Creating a Data-Driven Organizational Culture
Creating a Data-Driven Organizational Culture Creating a Data-Driven Organizational Culture
Creating a Data-Driven Organizational Culture Amy Gaskins
 
Cisco Foundation Presentation
Cisco Foundation PresentationCisco Foundation Presentation
Cisco Foundation PresentationBeth Kanter
 
BBCON 2016 - Top 5 Processes We've Automated
BBCON 2016 - Top 5 Processes We've AutomatedBBCON 2016 - Top 5 Processes We've Automated
BBCON 2016 - Top 5 Processes We've AutomatedEddye Ervin, bCRE-Pro
 
COLAL 2011 Top Ten Reasons Information Professionals Succeed
COLAL 2011 Top Ten Reasons Information Professionals SucceedCOLAL 2011 Top Ten Reasons Information Professionals Succeed
COLAL 2011 Top Ten Reasons Information Professionals SucceedRebecca Jones
 
Output Is Everything!
Output Is Everything!Output Is Everything!
Output Is Everything!4Good.org
 
RYAN SAXBY HILL: Do your technology choices support your organization’s values?
RYAN SAXBY HILL: Do your technology choices support your organization’s values?RYAN SAXBY HILL: Do your technology choices support your organization’s values?
RYAN SAXBY HILL: Do your technology choices support your organization’s values?NetSquared Vancouver
 
Analytics and UX: Understanding and designing for people who use data
Analytics and UX: Understanding and designing for people who use dataAnalytics and UX: Understanding and designing for people who use data
Analytics and UX: Understanding and designing for people who use dataSteve Fadden
 
Five Hacks to Weave Constituent Experience Into Your Organization
Five Hacks to Weave Constituent Experience Into Your OrganizationFive Hacks to Weave Constituent Experience Into Your Organization
Five Hacks to Weave Constituent Experience Into Your OrganizationCommunity IT Innovators
 
What is Board Engagement Anyway (and how do we get more of it)?
What is Board Engagement Anyway (and how do we get more of it)?What is Board Engagement Anyway (and how do we get more of it)?
What is Board Engagement Anyway (and how do we get more of it)?Dottie Schindlinger
 
The 8 Hats of Data Visualisation
The 8 Hats of Data VisualisationThe 8 Hats of Data Visualisation
The 8 Hats of Data VisualisationAndy Kirk
 
The Engagement Pyramid: Keeping supporters engaged for the long haul
The Engagement Pyramid: Keeping supporters engaged for the long haulThe Engagement Pyramid: Keeping supporters engaged for the long haul
The Engagement Pyramid: Keeping supporters engaged for the long haulNetSquared Vancouver
 

What's hot (18)

Developing a strong grants program
Developing a strong grants programDeveloping a strong grants program
Developing a strong grants program
 
Data Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to SeeData Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to See
 
Allstate Foundation
Allstate FoundationAllstate Foundation
Allstate Foundation
 
Info Viz by Liz
Info Viz by LizInfo Viz by Liz
Info Viz by Liz
 
Creating a Data-Driven Organizational Culture
Creating a Data-Driven Organizational Culture Creating a Data-Driven Organizational Culture
Creating a Data-Driven Organizational Culture
 
Cisco Foundation Presentation
Cisco Foundation PresentationCisco Foundation Presentation
Cisco Foundation Presentation
 
BBCON 2016 - Top 5 Processes We've Automated
BBCON 2016 - Top 5 Processes We've AutomatedBBCON 2016 - Top 5 Processes We've Automated
BBCON 2016 - Top 5 Processes We've Automated
 
COLAL 2011 Top Ten Reasons Information Professionals Succeed
COLAL 2011 Top Ten Reasons Information Professionals SucceedCOLAL 2011 Top Ten Reasons Information Professionals Succeed
COLAL 2011 Top Ten Reasons Information Professionals Succeed
 
Output Is Everything!
Output Is Everything!Output Is Everything!
Output Is Everything!
 
Heithaus inman2010
Heithaus inman2010Heithaus inman2010
Heithaus inman2010
 
RYAN SAXBY HILL: Do your technology choices support your organization’s values?
RYAN SAXBY HILL: Do your technology choices support your organization’s values?RYAN SAXBY HILL: Do your technology choices support your organization’s values?
RYAN SAXBY HILL: Do your technology choices support your organization’s values?
 
Analytics and UX: Understanding and designing for people who use data
Analytics and UX: Understanding and designing for people who use dataAnalytics and UX: Understanding and designing for people who use data
Analytics and UX: Understanding and designing for people who use data
 
Five Hacks to Weave Constituent Experience Into Your Organization
Five Hacks to Weave Constituent Experience Into Your OrganizationFive Hacks to Weave Constituent Experience Into Your Organization
Five Hacks to Weave Constituent Experience Into Your Organization
 
What is Board Engagement Anyway (and how do we get more of it)?
What is Board Engagement Anyway (and how do we get more of it)?What is Board Engagement Anyway (and how do we get more of it)?
What is Board Engagement Anyway (and how do we get more of it)?
 
The 8 Hats of Data Visualisation
The 8 Hats of Data VisualisationThe 8 Hats of Data Visualisation
The 8 Hats of Data Visualisation
 
How To Know What Kind of Thinker You Are
How To Know What Kind of Thinker You AreHow To Know What Kind of Thinker You Are
How To Know What Kind of Thinker You Are
 
Self organizing in networks
Self organizing in networksSelf organizing in networks
Self organizing in networks
 
The Engagement Pyramid: Keeping supporters engaged for the long haul
The Engagement Pyramid: Keeping supporters engaged for the long haulThe Engagement Pyramid: Keeping supporters engaged for the long haul
The Engagement Pyramid: Keeping supporters engaged for the long haul
 

Similar to The Simpsons, Design, and Data Use

1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...
1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...
1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...KrzysztofLada
 
Design Thinking for people that work in ad agencies
Design Thinking for people that work in ad agenciesDesign Thinking for people that work in ad agencies
Design Thinking for people that work in ad agenciesBruno Araldi
 
Troubleshooting Yer Busted-Ass Design Process
Troubleshooting Yer Busted-Ass Design ProcessTroubleshooting Yer Busted-Ass Design Process
Troubleshooting Yer Busted-Ass Design ProcessDan Willis
 
Deep Customer Insights, Laurea, October 2015
Deep Customer Insights, Laurea, October 2015 Deep Customer Insights, Laurea, October 2015
Deep Customer Insights, Laurea, October 2015 Taneli Heinonen
 
(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...
(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...
(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...Jennifer Briselli
 
Ibara e source_final_1 posted
Ibara e source_final_1 postedIbara e source_final_1 posted
Ibara e source_final_1 postedMichael Ibara
 
An introduction to Listen & learn Research
An introduction to Listen & learn Research  An introduction to Listen & learn Research
An introduction to Listen & learn Research Jeremy Hollow
 
Thinking like Humans - Tools to improve how we solve problems for our users
Thinking like Humans - Tools to improve how we solve problems for our usersThinking like Humans - Tools to improve how we solve problems for our users
Thinking like Humans - Tools to improve how we solve problems for our usersLenae Storey
 
Social Entrepreneurship for Disable Individuals
Social Entrepreneurship for Disable IndividualsSocial Entrepreneurship for Disable Individuals
Social Entrepreneurship for Disable IndividualsDemetris Hadjisofocli
 
Harnessing the benefits of online communities of practice (CoPs)
Harnessing the benefits of online communities of practice (CoPs)Harnessing the benefits of online communities of practice (CoPs)
Harnessing the benefits of online communities of practice (CoPs)johnt
 
KM Chicago: Organisational Network Analysis
KM Chicago: Organisational Network AnalysisKM Chicago: Organisational Network Analysis
KM Chicago: Organisational Network AnalysisKM Chicago
 
Response 1i would like to discuss about the first part which.docx
Response 1i would like to discuss about the first part which.docxResponse 1i would like to discuss about the first part which.docx
Response 1i would like to discuss about the first part which.docxfathwaitewalter
 
Design and Data Processes  Unified -  3rd Corner View
Design and Data Processes  Unified -  3rd Corner ViewDesign and Data Processes  Unified -  3rd Corner View
Design and Data Processes  Unified -  3rd Corner ViewJulian Jordan
 
An Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docxAn Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docxgalerussel59292
 
An Introduction to Design ThinkingPROCESS GUIDEWHAT .docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT .docxAn Introduction to Design ThinkingPROCESS GUIDEWHAT .docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT .docxdaniahendric
 
SoDA Analytics deck
SoDA Analytics deckSoDA Analytics deck
SoDA Analytics deckJon Gibs
 
Activities and Exercises for Workshops that Work (Confab 2019)
Activities and Exercises for Workshops that Work (Confab 2019)Activities and Exercises for Workshops that Work (Confab 2019)
Activities and Exercises for Workshops that Work (Confab 2019)Tracy Playle
 
Tappestry Demo
Tappestry DemoTappestry Demo
Tappestry DemoChad Udell
 
Project Template
Project TemplateProject Template
Project TemplateNoel Hatch
 

Similar to The Simpsons, Design, and Data Use (20)

1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...
1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...
1 dokumen.tips_empathize-ideate-design-thinking-define-prototype-little-time-...
 
Design Thinking for people that work in ad agencies
Design Thinking for people that work in ad agenciesDesign Thinking for people that work in ad agencies
Design Thinking for people that work in ad agencies
 
Troubleshooting Yer Busted-Ass Design Process
Troubleshooting Yer Busted-Ass Design ProcessTroubleshooting Yer Busted-Ass Design Process
Troubleshooting Yer Busted-Ass Design Process
 
Deep Customer Insights, Laurea, October 2015
Deep Customer Insights, Laurea, October 2015 Deep Customer Insights, Laurea, October 2015
Deep Customer Insights, Laurea, October 2015
 
(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...
(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...
(Socially Distanced) Participatory Design - Discovering Unmet Needs & New Sol...
 
Matchbox presentation
Matchbox presentation Matchbox presentation
Matchbox presentation
 
Ibara e source_final_1 posted
Ibara e source_final_1 postedIbara e source_final_1 posted
Ibara e source_final_1 posted
 
An introduction to Listen & learn Research
An introduction to Listen & learn Research  An introduction to Listen & learn Research
An introduction to Listen & learn Research
 
Thinking like Humans - Tools to improve how we solve problems for our users
Thinking like Humans - Tools to improve how we solve problems for our usersThinking like Humans - Tools to improve how we solve problems for our users
Thinking like Humans - Tools to improve how we solve problems for our users
 
Social Entrepreneurship for Disable Individuals
Social Entrepreneurship for Disable IndividualsSocial Entrepreneurship for Disable Individuals
Social Entrepreneurship for Disable Individuals
 
Harnessing the benefits of online communities of practice (CoPs)
Harnessing the benefits of online communities of practice (CoPs)Harnessing the benefits of online communities of practice (CoPs)
Harnessing the benefits of online communities of practice (CoPs)
 
KM Chicago: Organisational Network Analysis
KM Chicago: Organisational Network AnalysisKM Chicago: Organisational Network Analysis
KM Chicago: Organisational Network Analysis
 
Response 1i would like to discuss about the first part which.docx
Response 1i would like to discuss about the first part which.docxResponse 1i would like to discuss about the first part which.docx
Response 1i would like to discuss about the first part which.docx
 
Design and Data Processes  Unified -  3rd Corner View
Design and Data Processes  Unified -  3rd Corner ViewDesign and Data Processes  Unified -  3rd Corner View
Design and Data Processes  Unified -  3rd Corner View
 
An Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docxAn Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT is t.docx
 
An Introduction to Design ThinkingPROCESS GUIDEWHAT .docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT .docxAn Introduction to Design ThinkingPROCESS GUIDEWHAT .docx
An Introduction to Design ThinkingPROCESS GUIDEWHAT .docx
 
SoDA Analytics deck
SoDA Analytics deckSoDA Analytics deck
SoDA Analytics deck
 
Activities and Exercises for Workshops that Work (Confab 2019)
Activities and Exercises for Workshops that Work (Confab 2019)Activities and Exercises for Workshops that Work (Confab 2019)
Activities and Exercises for Workshops that Work (Confab 2019)
 
Tappestry Demo
Tappestry DemoTappestry Demo
Tappestry Demo
 
Project Template
Project TemplateProject Template
Project Template
 

More from Amanda Makulec

Adapting Agile for MERL
Adapting Agile for MERLAdapting Agile for MERL
Adapting Agile for MERLAmanda Makulec
 
Nurturing Data Visualization
Nurturing Data VisualizationNurturing Data Visualization
Nurturing Data VisualizationAmanda Makulec
 
Designing Data Visualizations to Strengthen Health Systems
Designing Data Visualizations to Strengthen Health SystemsDesigning Data Visualizations to Strengthen Health Systems
Designing Data Visualizations to Strengthen Health SystemsAmanda Makulec
 
Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?Amanda Makulec
 
Designstorm How-to: Dot Plots
Designstorm How-to: Dot PlotsDesignstorm How-to: Dot Plots
Designstorm How-to: Dot PlotsAmanda Makulec
 
A Pixar Twist on Presenting Data
A Pixar Twist on Presenting DataA Pixar Twist on Presenting Data
A Pixar Twist on Presenting DataAmanda Makulec
 
Designing Usage Dashboards for mHealth Program Monitoring
Designing Usage Dashboards for mHealth Program MonitoringDesigning Usage Dashboards for mHealth Program Monitoring
Designing Usage Dashboards for mHealth Program MonitoringAmanda Makulec
 
Data Visualization Design Best Practices Workshop
Data Visualization Design Best Practices WorkshopData Visualization Design Best Practices Workshop
Data Visualization Design Best Practices WorkshopAmanda Makulec
 
Making Data Meaningful
Making Data MeaningfulMaking Data Meaningful
Making Data MeaningfulAmanda Makulec
 
Chart Makeover: A Women's Nutrition Bar Chart
Chart Makeover: A Women's Nutrition Bar ChartChart Makeover: A Women's Nutrition Bar Chart
Chart Makeover: A Women's Nutrition Bar ChartAmanda Makulec
 
A Data Viz Makeover: Approaches for Improving your Visualizations
A Data Viz Makeover: Approaches for Improving your VisualizationsA Data Viz Makeover: Approaches for Improving your Visualizations
A Data Viz Makeover: Approaches for Improving your VisualizationsAmanda Makulec
 
Storyboarding for Data Visualization
Storyboarding for Data VisualizationStoryboarding for Data Visualization
Storyboarding for Data VisualizationAmanda Makulec
 
Alternative Reporting Formats
Alternative Reporting FormatsAlternative Reporting Formats
Alternative Reporting FormatsAmanda Makulec
 
Introduction to Infographic Design
Introduction to Infographic DesignIntroduction to Infographic Design
Introduction to Infographic DesignAmanda Makulec
 
Creating Functional Art in Excel
Creating Functional Art in ExcelCreating Functional Art in Excel
Creating Functional Art in ExcelAmanda Makulec
 
Identifying Your Audience
Identifying Your AudienceIdentifying Your Audience
Identifying Your AudienceAmanda Makulec
 
Data Visualization Resource Guide (September 2014)
Data Visualization Resource Guide (September 2014)Data Visualization Resource Guide (September 2014)
Data Visualization Resource Guide (September 2014)Amanda Makulec
 

More from Amanda Makulec (20)

Adapting Agile for MERL
Adapting Agile for MERLAdapting Agile for MERL
Adapting Agile for MERL
 
Nurturing Data Visualization
Nurturing Data VisualizationNurturing Data Visualization
Nurturing Data Visualization
 
Designing Data Visualizations to Strengthen Health Systems
Designing Data Visualizations to Strengthen Health SystemsDesigning Data Visualizations to Strengthen Health Systems
Designing Data Visualizations to Strengthen Health Systems
 
Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?
 
Designstorm How-to: Dot Plots
Designstorm How-to: Dot PlotsDesignstorm How-to: Dot Plots
Designstorm How-to: Dot Plots
 
A Pixar Twist on Presenting Data
A Pixar Twist on Presenting DataA Pixar Twist on Presenting Data
A Pixar Twist on Presenting Data
 
Data Dinner Parties
Data Dinner PartiesData Dinner Parties
Data Dinner Parties
 
The Human Element
The Human ElementThe Human Element
The Human Element
 
Designing Usage Dashboards for mHealth Program Monitoring
Designing Usage Dashboards for mHealth Program MonitoringDesigning Usage Dashboards for mHealth Program Monitoring
Designing Usage Dashboards for mHealth Program Monitoring
 
Data Visualization Design Best Practices Workshop
Data Visualization Design Best Practices WorkshopData Visualization Design Best Practices Workshop
Data Visualization Design Best Practices Workshop
 
Making Data Meaningful
Making Data MeaningfulMaking Data Meaningful
Making Data Meaningful
 
Chart Makeover: A Women's Nutrition Bar Chart
Chart Makeover: A Women's Nutrition Bar ChartChart Makeover: A Women's Nutrition Bar Chart
Chart Makeover: A Women's Nutrition Bar Chart
 
A Data Viz Makeover: Approaches for Improving your Visualizations
A Data Viz Makeover: Approaches for Improving your VisualizationsA Data Viz Makeover: Approaches for Improving your Visualizations
A Data Viz Makeover: Approaches for Improving your Visualizations
 
Storyboarding for Data Visualization
Storyboarding for Data VisualizationStoryboarding for Data Visualization
Storyboarding for Data Visualization
 
Alternative Reporting Formats
Alternative Reporting FormatsAlternative Reporting Formats
Alternative Reporting Formats
 
Introduction to Infographic Design
Introduction to Infographic DesignIntroduction to Infographic Design
Introduction to Infographic Design
 
Creating Functional Art in Excel
Creating Functional Art in ExcelCreating Functional Art in Excel
Creating Functional Art in Excel
 
Design for Delight
Design for DelightDesign for Delight
Design for Delight
 
Identifying Your Audience
Identifying Your AudienceIdentifying Your Audience
Identifying Your Audience
 
Data Visualization Resource Guide (September 2014)
Data Visualization Resource Guide (September 2014)Data Visualization Resource Guide (September 2014)
Data Visualization Resource Guide (September 2014)
 

Recently uploaded

Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queensdataanalyticsqueen03
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceSapana Sha
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfchwongval
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanMYRABACSAFRA2
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档208367051
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Colleen Farrelly
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一fhwihughh
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in collegessuser7a7cd61
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一F sss
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...ssuserf63bd7
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...Boston Institute of Analytics
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 

Recently uploaded (20)

Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queens
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts Service
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdf
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population Mean
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in college
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 

The Simpsons, Design, and Data Use

  • 1. The Simpsons, Design, and Data UseAmanda Makulec | Excella Consulting Barb Knittel | John Snow Inc. MERLTech 2017 Featuring work funded by
  • 2.
  • 3.
  • 4. D E S IGN THINKING
  • 5.
  • 6. How can we put ourselves as designers into the data user’s shoes?
  • 7. What are our data user’s wants, needs, and interests?
  • 8. What are our data user’s challenges and pain points?
  • 13. OUR DE S IGN JOURNEY
  • 14. Design framework adapted from Stanford d. School From “Applying User-centered Design to Data Use Challenges:What we Learned” https://www.measureevaluation.org/resources/publications/tr-17-161
  • 15.
  • 16.
  • 17.
  • 18. 18
  • 19.
  • 20. 20
  • 21. Personas help us move beyond job titles stakeholder groups organization names and focus on the human side of your audience.
  • 22. Each persona represents a significant portion of people in the real world and enables the designer to focus on a manageable and memorable cast of characters, instead of focusing on thousands of individuals.” “A persona is depicted as a specific person but is not a real individual; rather, it is synthesized from observations of many people. From: https://www.smashingmagazine.com/2014/08 /a-closer-look-at-personas-part-1/
  • 23. 23
  • 24.
  • 25. • LOVE data • Hard workers and proactive in work • Frustrated by environments that accept lower performers • Desire for perfection can push them to work long hours and burn out Go Getters
  • 26. • Full of energy • Seek attention constantly • Require very hands-on supervision • Can be creative problem solvers, but requires focused workplan to stay on task Hyperactives
  • 27. • Always “busy” but do not produce quality outputs • Always miss deadlines and targets • Flourish in an environment with no consequences • Full of excuses and avoid responsibilities Lazy Dodgers
  • 31. District Health Executive Team for example
  • 32. Capture data on your stakeholder group.
  • 33. Analytical ability Job function Education Programmatic knowledge Access to tools Motivations to use data Pain points Interests Where they access information Champion or opposition
  • 34. Talking directly to members of your audience gives you the greatest insight into their wants, needs, and pain points.
  • 35. If you’ve worked with this stakeholder group before, you can also brainstorm based on experience.
  • 36. Identify 2-3 different “personas” within each stakeholder group.
  • 37. District Health Executive Team The Technocrat The Politician segmented to
  • 38. Name your personas & give them stories.
  • 39. District Health Executive Team Rachel The Technocrat Pascal The Politician segmented to
  • 40.
  • 41. Credit toThinkPlace Foundation, from the Innovations for Maternal, Newborn & Child Health Initiative’s Care Community Hub
  • 43. Wants stories Wants numbers Motivated by passion Motivated by money Act based on feelings Act based on data Resilient problem solver Frustrated bureaucrat Champion for your issue Oppose your issue
  • 44. Wants stories Wants numbers Motivated by passion Motivated by money Act based on feelings Act based on data Resilient problem solver Frustrated bureaucrat Champion for your issue Oppose your issue Rachel the Technocrat Pascal the Politician
  • 45.
  • 47. Design framework adapted from Stanford d. School From “Applying User-centered Design to Data Use Challenges:What we Learned” https://www.measureevaluation.org/resources/publications/tr-17-161
  • 49.
  • 51.
  • 52.
  • 53.
  • 54. Creating a journey map is an excellent way to systematically think about the steps or milestones of a process, and can be used in developing empathy and in communicating about your work.1 You can use the steps on the journey map to identify pain points for your data user that can be transformed into opportunities for you in sharing your data. 1 Definition from https://dschool-old.stanford.edu/groups/k12/wiki/d8073/Journey_Map.html
  • 56. Map out the various (ideal) steps that person takes in making a decision.
  • 57. Pascal The Politician Community scorecard data is collected in Pascal’s district Pascal takes action with the district supply chain team to identify root causes of the issue Analysis shows 4 clinics in Pascal’s district have stockouts of condoms Pascal is unaware of the stockouts NGO meets with Pascal in his office to share the data Pascal shares the issue with the District Health Executive Team The DHE checks the logistics information system and sees the stockouts were not reported
  • 58. I am aware… I think about my options… I decide… I seek… I receive… I share… Use a set of prompts if you’re having trouble mapping out steps
  • 59.
  • 60.
  • 61. Identify the pain points along that journey.
  • 62. Pascal The Politician Community scorecard data is collected in Pascal’s district Pascal takes action with the district supply chain team to identify root causes of the issue Analysis shows 4 clinics in Pascal’s district have stockouts of condoms Pascal is unaware of the stockouts NGO meets with Pascal in his office to share the data Pascal shares the issue with the District Health Executive Team The DHE checks the logistics information system and sees the stockouts were not reported Pascal has limited time and needs something short he can easily share with other DHE members The DHE may see no stockouts in their system and doubt the accuracy of the community data
  • 63. Identify how you could address each pain point.
  • 64. Pascal The Politician Community scorecard data is collected in Pascal’s district Pascal takes action with the district supply chain team to identify root causes of the issue Analysis shows 4 clinics in Pascal’s district have stockouts of condoms Pascal is unaware of the stockouts NGO meets with Pascal in his office to share the data Pascal shares the issue with the District Health Executive Team The DHE checks the logistics information system and sees the stockouts were not reported Pascal has limited time and needs something short he can easily share with other DHE members The DHE may see no stockouts in their system and doubt the accuracy of the community data NGO creates a one page brief summarizing the data and recs NGO adds a spot check of stock- on-hand to the scorecard process
  • 65. Credit toThinkPlace Foundation, from the Innovations for Maternal, Newborn & Child Health Initiative’s Care Community Hub
  • 68. Design framework adapted from Stanford d. School From “Applying User-centered Design to Data Use Challenges:What we Learned” https://www.measureevaluation.org/resources/publications/tr-17-161
  • 70. 70
  • 71.
  • 72.
  • 73. 73
  • 74. 74
  • 76.
  • 77.
  • 78. BONUS Build aTower, Build aTeam |Tom Wujec A TED Talk on teams and prototype thinking with the marshmallow challenge https://www.ted.com/talks/tom_wujec_build_a_tower
  • 79. TEST
  • 80. DO’S O F D E S I G N T H I N K I N G F O R D A T A U S E These are reflections from our experience applying design thinking to data use challenges. Every design process is unique.
  • 81. Use design thinking as a facilitation tool (but not a silver bullet)
  • 83. Allow enough time to see the design process through
  • 84. Have a follow up plan (and resources)
  • 85.
  • 86. DON’TS O F D E S I G N T H I N K I N G F O R D A T A U S E
  • 88. Rely on one workshop to come to a ‘perfect’ solution.
  • 89. Design solutions with a tiny group more people = more ideas …to a point
  • 90. Panic if prototypes are broad when you finish a workshop.
  • 91. Focus only on the outcome: there’s immense value in the process.
  • 92. “I am exciting about taking [these activities] forward at a district level to try and change the way people view data, and ultimately, the way districts plan their services within the limited resources they have.” - Provincial Deputy Manager for Planning, KZN
  • 93. Favorite Resources for Diving in on Design Thinking • Stanford d. School Bootcamp Bootleg dschool.stanford.edu/resources • IDEO Design Kit ideo.com/post/design-kit
  • 94. Amanda Makulec DataVisualization Lead Excella Consulting amanda.makulec@excella.com @abmakulec Barb Knittel Senior RME Officer John Snow Inc. barbara_knittel@jsi.com Added acknowledgements to Michelle Li (MEASURE Evaluation) and our colleagues at Matchboxology (Cal Bruns and Jason Coetzee) for their invaluable contributions to this work.