Data analysis for Design Research - July event on 'Turning the mountain into a molehill'
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Transcript of Data analysis for Design Research - July event on 'Turning the mountain into a molehill'
Data analysis for Design ResearchApproaches for modeling the problem/opportunity space
Nik Horn (@niksdeli)
The Research Thing
CONTEXTThe context of generative research
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Structure of a research project
Brief•Project goals•Research objectives
Study design•Participants•Methods
Data collection•Quantitative•Qualitative
Analysis•User needs•Pain points•Requirements
Delivery•Findings •Recommendations
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Agreed
Emergent
Outputs formats
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Research as a design method
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
http://www.slideshare.net/undpeuropeandcis/iterate-uzbekistan
Other examples
http://www.dubberly.com/articles/interactions-the-analysis-synthesis-bridge-model.html
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
The central role of conceptual models
http://www.flickr.com/photos/rosenfeldmedia/2125040155/
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
APPROACHDriving analysis and synthesis
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Overview
http://www.slideshare.net/steveportigal/well-weve-done-all-this-research-now-what-12990500
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Focus
User
ActivityContext
Desirable Usable Useful
Visual
Interaction
Structure
Content
Proposition
Product Product experienceExperience context
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Process
Analysing implicit relations
• Distillation of:– Goals – Motivations– Barriers
• Creation of:– Affinity maps– Thematic clusters– Axis & 2x2 graphs
Synthesising insights
• Highlighting of:– Issues– Pain points– Opportunities
• Modelling of:– Needs hierarchies– Mental contructs– Product concepts
Surfacing explicit data
• Description of:– Behaviour– Knowledge– Attitudes
• Comparisons by:– Set groups– Shared criteria– Emergent criteria
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Formats
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Impact
Predictive
Prescriptive
Descriptive
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
EXAMPLESPrevious work deliverables
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
User information needs
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Mental model & process
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Engagement framework
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Product structure and attributes
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts
Any questions?
Nik Horn @niksdeli
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts