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Design thinking for dummies (data scientists)

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Information about Design thinking for dummies (data scientists)
Design

Published on March 14, 2014

Author: deanmalmgren

Source: slideshare.net

Description

These are our slides from our Strata 2014 (Santa Clara) workshop.
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WELCOME Dean (@deanmalmgren) Mike (@mstringer) Laurie (@laurieskelly)

WHY DESIGN?

INTERVIEW EXPLORE SYNTHESIZE SKETCH OBSERVE PROTOTYPE FORM GROUPS

INTERVIEW

INTERVIEW listen carefully be thoughtful, ask why, dig deep empathy is key 10 MINUTES

INTERVIEW WHEN DATA IS INVOLVED • Learn about the nuances of a problem • What makes this relevant for humans? • Who uses it and why?

EXPLORE

EXPLORE build on others thoughts prefer radical ideas one mouth at a time 20 MINUTES

EXPLORE WHEN DATA IS INVOLVED • Have the attitude that “anything is possible (eventually)” • Don’t focus too much on the details of the data or analysis • Speak the language of the problem, not the solution

SYNTHESIZE

SYNTHESIZE clump post-its in groups stars will force a decision mistakes are OK 15 MINUTES

SYNTHESIZE WHEN DATA IS INVOLVED • Tweak or discard clearly infeasible ideas • But still focus on usefulness, not feasibility

SKETCH

SKETCH sketch out your concepts ignore distracting details ugly is just !ine 20 MINUTES

SKETCH WHEN DATA IS INVOLVED • Usually sketch many times before writing any code • Make sure concept addresses one use case well • Use finer tipped markers, pens, and pencils for more detail • Build even more refined wireframes with inkscape/photoshop • Keep using the language of the problem owners, not nerd speak.

OBSERVE

OBSERVE observe carefully don’t defend, they’re helping you empathy is key 10 MINUTES

OBSERVE • Understand which parts of concept are useful or not (and why!) • Ask for suggestions and questions WHEN DATA IS INVOLVED

PROTOTYPE

PROTOTYPE make your concept real it’s not the !inished product build for more feedback 40 MINUTES

PROTOTYPE WHEN DATA IS INVOLVED • This involves getting data, doing some analysis, and presenting results • Short iteration cycle forces you to focus on essential parts • Important thing is to start building trust with end users • The details of feasibility come up here • It’s OK to fail; you’ve got lots of good ideas on the backburner

THANKS Dean (@deanmalmgren) Mike (@mstringer) Laurie (@laurieskelly)

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