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New DDD by Mind Map: New DDD

1. Framing: Data and Design

1.1. ...design has always been an insight-led approach, using data to understand systems and validate ideas...

1.1.1. The Design Thinking Process

1.1.1.1. ...more detail...

1.1.1.1.1. IDEO on Design Thinking

1.1.1.1.2. Design Kit Case Studies

1.2. ...the act of creating and interpreting insight - "sensing" and "sensemaking" - is a core feature of the design process...

1.2.1. The Cynefin Model

1.2.1.1. ...more detail...

1.2.1.1.1. David Snowden and Cognitive Edge

1.3. ...increasingly, these sensing and sensemaking efforts are utilising quantitative data techniques...

1.3.1. Kayak A-B Tests

1.4. ...the combination of qualitative design and quantitative data techniques has tended to focus on the design process...

1.4.1. IBM Loop Design Process

1.4.1.1. ...more detail...

1.4.1.1.1. Design Thinking Review

1.5. ...the advent of machine learning and artificial intelligence has pulled "data" into the design itself...

1.5.1. German Rail

1.5.1.1. ...more examples...

1.5.1.1.1. Triggr Health

1.6. ...this blend of data in the design process and data in the design product is powerful...

1.6.1. Uber

1.6.1.1. "Uber Engineering is committed to developing technologies that create seamless, impactful experiences for our customers..."

1.6.1.1.1. Uber Michelangelo Design Outcomes

2. AI Engagement

2.1. https://marvelapp.com/blog/automate-user-testing-process/

2.2. https://www.uxmatters.com/mt/archives/2018/04/the-future-of-ux-design-is-automation.php

2.3. https://cux.io/

2.4. https://www.trypencil.com/

2.5. https://personetics.com/

2.6. https://www.socialpinpoint.com/

2.7. https://mopinion.com/

2.8. https://usabilla.com/

2.9. https://www.pointillist.com/

3. Reflection

3.1. ...for discussion...

3.1.1. Do the tools from Design Thinking and CRISP support each other?

4. Step 3. Implementation

4.1. ...when it comes to implementation, we can contrast the "learning by doing" methods of design thinking with the quantitative "proofs" of the data sciences...

4.1.1. Design Thinking

4.1.1.1. Prototype

4.1.1.1.1. ...highlight...

4.1.2. CRISP

4.1.2.1. Evaluation

4.1.2.1.1. ...highlight...

4.2. ...tools...

4.2.1. Blueprints and Logic Chains

4.2.1.1. Service blueprints visualize organizational processes in order to optimize how a business delivers a user experience...

4.2.1.1.1. ...overview...

4.2.1.1.2. ...example...

4.2.1.1.3. ...extension...

4.2.2. Experimentation

4.2.2.1. ...establishing whether ideas "work" or judging which ideas and options "work best"...

4.2.2.1.1. Experimental Design

4.2.2.1.2. In Jamovi

5. Step 2. Ideation

5.1. ...typically the ideation phase of a design process will incorporate forms of brainstorming based on gathered insight and inspiration...

5.1.1. Design Thinking Double Diamond

5.2. ...we will focus on exploring how machine learning techniques may guide our thinking with regards to ideation...

5.2.1. Supervised Machine Learning

5.2.1.1. Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs...

5.2.1.1.1. ...context...

5.2.1.1.2. ...machine learning algorithms are distinguished by their workflow and application...

5.2.1.2. In Excel

5.2.1.2.1. ...we can get to grips with regression and supervised learning in Excel...

5.2.1.3. In Jamovi

5.2.1.3.1. ...Jamovi is a leading GUI for R that gives us more power for our regressions...

5.2.1.3.2. ...we can make a start by replicating the Excel analysis in Jamovi...

5.2.1.3.3. ...we can leverage Jamovi's advanced tools to develop our understanding of regression...

5.2.1.3.4. ...the process for Logistic Regression is broadly similar...

5.2.1.4. In BigML

5.2.1.4.1. ...an example of a big data, low code machine learning platform...

5.2.1.4.2. ...increasingly, we find machine learning being automated...

5.2.1.4.3. Exit

5.2.1.5. ...reflection task...

5.2.1.5.1. Gather a set of high level ideas for reducing congestion in an urban transport system...

6. Step 1. Insight

6.1. ...all design approaches begin with the framing of a design challenge and the curation of insight...

6.1.1. Design Thinking

6.1.1.1. Empathise

6.1.1.1.1. ...highlight...

6.1.1.2. Define

6.1.1.2.1. ...highlight...

6.1.2. CRISP

6.1.2.1. Business Understanding

6.1.2.1.1. ...highlight...

6.1.2.2. Data Understanding

6.1.2.2.1. ...highlight...

6.2. ...we can build our capabilities in the area of "Insight" with the following tools...

6.2.1. System Exploration

6.2.1.1. ...exploratory tools that allow unknown unknowns to be revealed...

6.2.1.1.1. Journey Mapping

6.2.1.1.2. Reality Charting

6.2.1.1.3. Heuristic Assessment

6.2.2. Data and Feature Mining

6.2.2.1. ...a process of "exploratory data analysis" proceeds any data initiative...

6.2.2.1.1. EDA helps us to uncover the underlying structure of the dataset, identify important variables, detect outliers and anomalies, and test underlying assumptions...

6.2.3. Design Challenges

6.2.3.1. ...sharpening the design process based on what has been learned...

6.2.3.1.1. A design challenge articulates the problem you are trying to solve, and helps you define a scope that is neither too narrow nor too broad...

6.3. ...reflection...

6.3.1. Exploration

6.3.1.1. ...the qualitative exploration can aid the definition of system "features" and guide the next stage of data capture...

6.3.1.1.1. Qualitative Exploration

6.3.2. Confirmation

6.3.2.1. ...the quantitative confirmation can bring confidence and direction to the design process...

6.3.2.1.1. Exploratory and Confirmatory Research

7. Theme: Design in Transport

7.1. ...designing solutions for urban travel in the age of the "smart city"...

7.1.1. Singapore Future of Mobility

7.1.1.1. ...more details...

7.1.1.1.1. Future of Urban Transport

7.1.1.1.2. Deloitte, Future of Mobility

7.2. ...an initial "design direction"...

7.2.1. We are city leaders tasked with managing congestion...

8. A Toolkit Approach

8.1. ...throughout the course we are going to explore the similarities and differences between two design approaches...

8.1.1. Design Thinking

8.1.1.1. ...fundamentals...

8.1.1.1.1. Empathise

8.1.1.1.2. Define

8.1.1.1.3. Ideate

8.1.1.1.4. Prototype

8.1.1.1.5. Test:

8.1.1.1.6. Implement

8.1.1.2. ...more detail...

8.1.1.2.1. d.school Bootleg

8.1.1.2.2. IDEO Design Thinking Process

8.1.1.2.3. Nielsen Norman Group

8.1.2. CRISP

8.1.2.1. ...fundamentals...

8.1.2.1.1. Business Understanding

8.1.2.1.2. Data Understanding

8.1.2.1.3. Data Preparation

8.1.2.1.4. Modelling

8.1.2.1.5. Evaluation

8.1.2.1.6. Deployment

8.1.2.2. ...more detail...

8.1.2.2.1. Uber Michelangelo Design Process

8.1.2.2.2. Tibco CRISP

8.1.2.2.3. CRISP-DM Standard

9. Course Notes

9.1. ...course materials and tools...

9.1.1. Mindmeister

9.1.1.1. ...link to this board...

9.1.1.1.1. http://bit.ly/2ZV1CQT

9.1.2. Jamboards

9.1.2.1. ...team boards...

9.1.2.1.1. Team #1

9.1.2.1.2. Team #2

9.1.2.1.3. Team #3

9.1.2.1.4. User Guide

9.1.2.2. ...demo board...

9.1.2.2.1. Demo Board