3.research analysis
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The document outlines user research techniques and methods for analyzing collected qualitative data. It discusses conducting interviews, ethnographic studies, and affinity analysis to group user statements, observations, problems, and opportunities. The data is then consolidated using various models to identify flows, sequences, cultures, and physical aspects in order to find problems and opportunities to address user needs.
3.research analysis
- 2. Quantitative and Qualitative Research Customer interviews, User interviews Ethnography studies and techniques used, Contextual inquiry User research planning (team members, questions, location etc.) User Research Techniques
- 3. Notes or written format Collected photographs Collected video Recorded audio Format of Collected Data
- 5. User statement Observation Problem point Opportunities and call for action Categorizing Collected Data
- 6. User statement – Statement or sentences spoken by user e.g. I use my mobile phone for calling my clients only. No other usage User statement Observation Problem point Opportunities and call for action Categorizing Collected Data
- 7. Observation – Ideally, the sentences or statements not spoken by the user. However, the expressions, surrounding environment etc. Indicates a critical insight e.g. A rural home bedroom surrounded by various Gods. User statement Observation Problem point Opportunities and call for action Categorizing Collected Data
- 8. Problem point – Through various insights and observation, designer see some breakdown or problem that needs focus or solution. It may arise through user statements or observations e.g. Small kirana (grocery) shopkeepers sell groceries of smaller amount, such as Turmeric of INR 2.00 User statement Observation Problem point Opportunities and call for action Categorizing Collected Data
- 9. Opportunities and call for action – Problem points are various places triggers design opportunities and leads to design concepts e.g. To make an automated system of small scale kirana shopkeepers, it is essential to provide an arrangement to include small amount items User statement Observation Problem point Opportunities and call for action Categorizing Collected Data
- 10. Documentation of Collected data (excel format)
- 11. Data Consolidation and Affinity Diagram
- 12. Chunking of similar data Collect similar stories, observation and insights. State a keyword/one liner for similar data Theme based presentation Convert data chunks in appropriate themes/keywords Identify problem points / design opportunities Idenitfy problem points / design opportunities from themes. Write down all problem points / design opportunities and prioritize them Data Consolidation and Affinity Diagram
- 13. Theme based representation Data Consolidation of Affinity Diagram
- 14. Problem points Opportunities Calls for actions Consolidation
- 15. Flow model Sequence model Cultural model Physical model Further Analysis Models (Hugh Beyer & Karen Holtzblatt)
- 16. Formal and informal roles & responsibilities, work groups and communication Flow model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
- 17. Steps or actions performed to accomplish a task or activity Sequence model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
- 18. Culture, policies, constraints etc. to support work related activities Cultural model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
- 19. Showcases the physical environment for support of work related activities Physical model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
- 20. Data Consolidation and Affinity Diagram
- 21. Consolidate data collected from users and create an affinity diagram Data Consolidation and Affinity Diagram
- 22. Place Actions or Activities Problems Flow, Physical and cultural model Opportunities Call for actions Data Consolidation and Affinity Diagram
- 23. Problem points Opportunities Calls for actions Consolidation