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6 Myths About
DATA & DESIGN
@changesciences
changesciences.com
1 DATA = NUMBERS m
yth
Think of it like ARCHEOLOGY
It’s incomplete TRACES
…about PEOPLE
2 DATA = OBJECTIVE TRUTH myt
h
Big data can have SIGNAL BIAS
Big data can have ALGORITHMIC BIAS
Be a bit Bayesian – Updates beliefs – Iterative – Incorporates multiple sources – Yes, and... – Never 100%
DATA WITH A SOUL Don’t collect it without purpose Use only what is needed Use data with empathy
3 BIGGER = BETTER myt
h
BIG DATA THICK DATA
Big Data • What, where, when, how • Multi-structured • Collected by machines • Broad • Behaviors & actions of many people • Collected as people do what they do • People are not highly aware of data
being collected • Analysis uses statistical methods
ü Transactional data ü Customer service logs ü Analytics ü A/B tests ü Social media posts ü Sensor data
Li:le Data • It’s big data for one • Focused on personal goals • Individuals grant access to it,
rather than companies
Thick Data • How and why • Description • Collected by people • In-depth • Behaviors, actions, emotions,
intentions, motivations of a few • Collected as part of a study • People are highly aware of data
being collected • Analysis includes developing
codes, summaries, and themes
ü Usability tests ü Contextual research ü Interviews ü Diaries ü Any study
Strive for BALANCE
4 DATA IS FOR MANAGERS
myt
h
poverty rainfall global happiness copyright value culture fit
attitudes employee performance DESIGN automobile safety
emotion economic growth engagement size of an atom corruption
healthcare outcomes learning intelligence emotional intelligence
potential output social media ROI risk dolphin population love
innovation national security reputation public influence
customer satisfaction team productivity violence in households
cooperation air pollution asset value of advertising trust pH
length of Saturn’s day online readership stress level accountability
MEASURE WITH MEANING Personal well-being Collective well-being Markets and money
5 DATA KILLS INNOVATION myt
h
The key is PAIRING
Data & DISCOVERY
Public datasets Interviews
Behavioral analytics Observations
Social media data Lean research
Competitive data Ideation
DISCOVERY PAIRINGS
Emotional analytics Diaries
Data & IMPROVING
A/B tests Usability tests
Surveys Intercept interviews
Customer service data Interviews
Analytics Usability tests
IMPROVEMENT PAIRINGS
6 THERE IS ONE RIGHT WAY
myt
h
THERE IS NO PERFECT METHOD
Decide on MEANINGFUL MEASURES
Choose the right SIGNALS
Be sensitive to COMPLEXITY
changesciences.com @changesciences