practical tips for executing data-driven innovations
DESCRIPTION
As a part of a larger program put on by the US Chamber of Commerce and its Foundation, I presented some thought-starters (action-starters, really) for people interested in executing their own "data driven innovations". Having been at the front lines with some of the world's most talented designers, engineers, social scientists, analysts, product managers, economists, history majors, journalists and artists, I've learned a thing or two about how to structure an interdisciplinary team and how to apply the Agile development methodology for successful, innovative outcomes. Where I innovate: http://madebymany.com/ The full report: http://www.uschamberfoundation.org/future-data-driven-innovationTRANSCRIPT
DATA-DRIVEN INNOVATIONS
@LeslieBradshaw of @MadebyMany & @USCCFoundation #Data4Good @uschamber 10.7.14
how to execute your own
(practical tips from the front lines)
What: Data Literacy
Design by: Jehoaddan Kulakoff
Framework by: Simon Steinhardt &
Leslie Bradshaw
English Majors
Journalists
Artists
EngineersSociologists
MathematiciansEconomists
Anthropologists
Graphic Designers
Information Architects
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 StakeholdersAnalyze
Feedback
Withhold Judgment
Let the Data Speak
Small Batches
Simple Features
How: Make Test Learn
Prototype (various fidelity levels)
Real Users
Actual Customers
True StakeholdersAnalyze
Feedback
Withhold Judgment
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
My Chapter : http://www.uschamberfoundation.org/great-data-revolution
Full Report: http://www.uschamberfoundation.org/future-data-driven-innovation
Design by: Beutler Ink
Email: [email protected] Twitter : @lesliebradshaw Managing Partner (NYC Office): http://madebymany.com/ Fellow: @USCCFoundation Related Research: http://www.uschamberfoundation.org/great-data-revolution
DO STAY IN TOUCH :)