Research
Data types:
- Quantitative: numerical variables, measurements, statistics
- Qualitative: descriptions, anecdotes, rich data in context (words, pictures, observations)
- Objective: observed facts, statistical evidence, impartial
- Subjective: opinions, intuition, bias
Evaluation Methods:
- Sample survey: obtain a representative sample of a population in order to understand population-wide trends and preferences
- Laboratory experiment: perform fine measurements of user performance in tightly controlled laboratory conditions
- Field study: understand underlying user needs in the wild by observing them in their environment
- Naturalistic observation: no involvement, observation only
- Questionnaires: wide distribution, many responses
- Interviews: great detail, adapt to responses
- Focus groups and workshops: multiple participants, consensus
- Studying documentation: existing process/system
- Diaries/logging: details on duration of usage and performance
Too long; didn't read
Types or research to keep in mind as you dig deeper into the problem at hand.
Creation of work
- With the problem space and users in mind, create a research plan
Sample
The problem area we're focusing on is a lack of financial literacy.
Knowledge Check
Qualitative data is better than quantitative data
False: No one method is better than the other for all cases
True: Observations are more reliable for interfacing
False: Statistics and numbers are more factual
True: You need to ensure quality of data gathered
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