by Nik Horn at the Research Thing, July 2013

1. Data analysis for Design Research
Approaches for modeling the
problem/opportunity space
Nik Horn (@niksdeli)
The Research Thing

2. CONTEXT
The context of generative research
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

3. 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
1 - - -
2 - - -
3 - - -
4 - - -
?
Agreed
Emergent
Outputs
formats
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

4. 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

5. 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

6. 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

7. APPROACH
Driving analysis and synthesis
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

8. 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

9. Focus
User
ActivityContext
Desirable Usable Useful
Visual
Interaction
Structure
Content
Proposition
ProductProduct experienceExperience context
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

10. 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

11. Formats
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

12. Impact
Predictive
Prescriptive
Descriptive
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

13. EXAMPLES
Previous work deliverables
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

14. User information needs
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

15. Mental model & process
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

16. Engagement framework
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

17. Product structure and attributes
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts

18. Any questions?
Nik Horn @niksdeli
Nik Horn @niksdeli / The Research Thing / 1.7.2013
Data analysis for Design Research - The importance of conceptual artifacts