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Data in Design Thinking

Creative-Commons-License

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Data in Design Thinking


Facilitator: Richard Dunks

Data in Design Thinking by Richard Dunks is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License


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Welcome


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  • Mute and Unmute your microphone
  • Start and Stop your video
  • Post a message in the Chat window with your name and computer operating system (Windows or MacOS)
  • Click the Participants window and Raise your hand

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  • Facilitators will cover the following skills: muting themselves, stopping their video, typing in chat box, raising their hand, sharing their screen

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A Few Ground Rules

  • Step up, step back
  • One mic
  • Be curious and ask questions in the chat box
  • Assume noble regard and positive intent
  • Respect multiple perspectives
  • Be present (phone, email, social media, etc.)

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  • Facilitators establish the intention we have for the culture of the classroom

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Ground Rules


On Our Titles

Take the path of life in a way in which you do not allow yourself to be named in ways which are too small for yourself.

David Whyte

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You don't give yourself too easy a defintion. You don't give those around you too easy a definition. You leave the mystery of where you are about to arrive to the actual physical sense of arrival and revelation itself.


Introductions

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  • Your Name --

  • One thing resonating with you from Monday's session --

  • 1 data point that has made an impact on your thinking (good or bad)


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What is the Impact on Janice of Coming to School Hungry?


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What Do We Do About It?

img-center-100 .caption[Author/Copyright holder: Teo Yu Siang and Interaction Design Foundation. Copyright terms and licence: CC BY-NC-SA 3.0]


Discerning Problems

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  • Private Trouble --

  • Public Issue --

How do we separate the two?


What is Data?

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  • Data is a collection of facts about something that's happened --

  • Can be numbers, words, measurements, observations, or descriptions --

Data can be anything and doesn't have to fit into a spreadsheet


What is Data?

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  • Can describe what happened either directly or indirectly --

  • Example: morning food vending machine sales as a measurement of students coming to school hungry --

Know what your data is measuring


The Limits of Data

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Empathy is not triggered by a statistic.

Krista Tippett


Your Turn

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  • We're going to put you into groups --

  • Each group will be given a phase of design thinking --

  • Consider data in that phase --

  • Give us the high-level intent with data --

  • Give us some examples of how data could be used with hunger in schools --

  • Be ready to present to the group for discussion


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Some Additional Thoughts


Define

The purpose of analysis is to bound uncertainty.

Dr. Mark Lowenthal

.caption[Source: link]


Ideate

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Prototype

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.caption[Photo by Ryan Franco on Unsplash]


Test

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.caption[Photo by Rachel on Unsplash]


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Value of Data

Data is only as valuable as the decisions it enables

Ion Stoica

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If I knew X I could do Y


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Resources


Final Thoughts

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Final Thoughts

Numbers speak to our head, stories speak to our heart. When data tells a true and compelling story, we bring heart and head together in order to create action.


Contact Information


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Thank You!