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how to execute your own 
DATA-DRIVEN 
INNOVATIONS 
(practical tips from the front lines) 
@LeslieBradshaw of @MadebyMany & @USCCFoundation 
#Data4Good @uschamber 10.7.14
What: 
Data 
Literacy 
Design by: 
Jehoaddan Kulakoff 
Framework by: 
Simon Steinhardt & 
Leslie Bradshaw
Mathematicians 
Sociologists Engineers 
Journalists 
English Majors 
Information 
Architects 
Artists 
Economists 
Anthropologists 
Graphic 
Designers 
Who: 
Diverse 
Team 
Subject Matter 
Experts 
“Doers”
How: 
Make 
Test 
Learn 
Framework by: 
Made by Many
How: 
Make 
Test 
Learn 
Prototype 
(various 
fidelity 
levels) 
Real Users 
Actual Customers 
True Stakeholders 
Withhold 
Judgment 
Analyze 
Feedback 
Let the 
Data Speak 
Small Batches 
Simple Features
How: 
Make 
Test 
Learn 
Prototype 
(various 
fidelity 
levels) 
Real Users 
Actual Customers 
True Stakeholders 
Withhold 
Judgment 
Analyze 
Feedback 
Let the 
Data Speak 
Small Batches 
Simple Features 
“Small Data”
Paper 
Prototype 
Written 
Hypothesis 
Keynote 
Prototype 
Flinto 
Prototype 
HTML/CSS 
Prototype 
MVP 
Prototype 
Validate / Refine 
Hypothesis 
Validate / Refine 
Hypothesis 
Validate / Refine 
Hypothesis 
Validate / Refine 
Hypothesis 
Validate / Refine 
Hypothesis 
How: 
Small Batches, Off Domain 
Before Full Systems Integration 
(mobile only)
Alpha 
Version 
MVP 
Prototype 
Beta 
Version 
Integrate 
Systems 
Mass 
Market 
Continue 
Iterating 
How: 
Continuous 
Innovation 
Validate 
Hypothesis 
Refine Based 
on Usage Data + Feedback
Related Plug: 
U.S. Chamber of Commerce Foundation’s 
Research Report on 
The Future of Data-Driven Innovation 
http://www.uschamberfoundation.org/future-data-driven-innovation 
My Chapter: 
Full Report: 
http://www.uschamberfoundation.org/great-data-revolution 
Design by: 
Beutler Ink
DO STAY IN TOUCH :) 
Email: leslie@madebymany.com 
Twitter: @lesliebradshaw 
Managing Partner (NYC Office): http://madebymany.com/ 
Fellow: @USCCFoundation 
Related Research: http://www.uschamberfoundation.org/great-data-revolution

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Practical Tips for Executing Data-Driven Innovations

  • 1. how to execute your own DATA-DRIVEN INNOVATIONS (practical tips from the front lines) @LeslieBradshaw of @MadebyMany & @USCCFoundation #Data4Good @uschamber 10.7.14
  • 2. What: Data Literacy Design by: Jehoaddan Kulakoff Framework by: Simon Steinhardt & Leslie Bradshaw
  • 3. Mathematicians Sociologists Engineers Journalists English Majors Information Architects Artists Economists Anthropologists Graphic Designers Who: Diverse Team Subject Matter Experts “Doers”
  • 4. How: Make Test Learn Framework by: Made by Many
  • 5. How: Make Test Learn Prototype (various fidelity levels) Real Users Actual Customers True Stakeholders Withhold Judgment Analyze Feedback Let the Data Speak Small Batches Simple Features
  • 6. How: Make Test Learn Prototype (various fidelity levels) Real Users Actual Customers True Stakeholders Withhold Judgment Analyze Feedback Let the Data Speak Small Batches Simple Features “Small Data”
  • 7. Paper Prototype Written Hypothesis Keynote Prototype Flinto Prototype HTML/CSS Prototype MVP Prototype Validate / Refine Hypothesis Validate / Refine Hypothesis Validate / Refine Hypothesis Validate / Refine Hypothesis Validate / Refine Hypothesis How: Small Batches, Off Domain Before Full Systems Integration (mobile only)
  • 8. Alpha Version MVP Prototype Beta Version Integrate Systems Mass Market Continue Iterating How: Continuous Innovation Validate Hypothesis Refine Based on Usage Data + Feedback
  • 9. Related Plug: U.S. Chamber of Commerce Foundation’s Research Report on The Future of Data-Driven Innovation http://www.uschamberfoundation.org/future-data-driven-innovation My Chapter: Full Report: http://www.uschamberfoundation.org/great-data-revolution Design by: Beutler Ink
  • 10. DO STAY IN TOUCH :) Email: leslie@madebymany.com Twitter: @lesliebradshaw Managing Partner (NYC Office): http://madebymany.com/ Fellow: @USCCFoundation Related Research: http://www.uschamberfoundation.org/great-data-revolution