practical tips for executing data-driven innovations

Post on 01-Dec-2014

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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-innovation

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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: leslie@madebymany.com Twitter : @lesliebradshaw Managing Partner (NYC Office): http://madebymany.com/ Fellow: @USCCFoundation Related Research: http://www.uschamberfoundation.org/great-data-revolution

DO STAY IN TOUCH :)

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