3.research analysis
DESCRIPTION
TRANSCRIPT
Research Analysis
User Research Techniques
Quantitative and Qualitative Research
Customer interviews, User interviews
Ethnography studies and techniques used, Contextual inquiry
User research planning (team members, questions, location etc.)
Format of Collected Data
Notes or written format
Collected photographs
Collected video
Recorded audio
Affinity Analysis
Categorizing Collected Data
User statement
Observation
Problem point
Opportunities and call for action
Categorizing Collected Data
User statement – Statement or sentences spoken by usere.g. I use my mobile phone for calling my clients only. No other usage
Observation
Problem point
Opportunities and call for action
User statement
Categorizing Collected Data
Observation – Ideally, the sentences or statements not spoken by the user. However, the expressions, surrounding environment etc. Indicates a critical insighte.g. A rural home bedroom surrounded by various Gods.
Observation
Problem point
Opportunities and call for action
User statement
Categorizing Collected Data
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 observationse.g. Small kirana (grocery) shopkeepers sell groceries of smaller amount, such as Turmeric of INR 2.00
Observation
Problem point
Opportunities and call for action
User statement
Categorizing Collected Data
Opportunities and call for action – Problem points are various places triggers design opportunities and leads to design conceptse.g. To make an automated system of small scale kirana shopkeepers, it is essential to provide an arrangement to include small amount items
Observation
Problem point
Opportunities and call for action
User statement
Documentation of Collected data (excel format)
Data Consolidation and Affinity Diagram
Data Consolidation and Affinity Diagram
Theme based presentationConvert data chunks in appropriate themes/keywords
Chunking of similar dataCollect similar stories, observation and insights. State a keyword/one liner for similar data
Identify problem points / design opportunitiesIdenitfy problem points / design opportunities from themes. Write down all problem points / design opportunities and prioritize them
Data Consolidation of Affinity Diagram
Theme based representation
Consolidation
Opportunities
Calls for actions
Problem points
Further Analysis Models (Hugh Beyer & Karen Holtzblatt)
Sequence model
Cultural model
Physical model
Flow model
Flow model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
Formal and informal roles & responsibilities, work groups and communication
Sequence model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
Steps or actions performed to accomplish a task or activity
Cultural model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
Culture, policies, constraints etc. to support work related activities
Physical model (Image from Contextual Design by Hugh Beyer & Karen Holtzblatt)
Showcases the physical environment for support of work related activities
Data Consolidation and Affinity Diagram
Data Consolidation and Affinity Diagram
Consolidate data collected from users and create an affinity diagram
Data Consolidation and Affinity Diagram
Place
Actions or Activities
Problems
Flow, Physical and cultural model
OpportunitiesCall for actions
Consolidation
Opportunities
Calls for actions
Problem points