Qualitative vs Quantitative
Analysis: Thematic patterns
-> “Findings”
Analysis: Statistics
-> “Results”
Qualitative != Assesing quality
Qualitative Methods
What can be evaluated qualitatively?
Evaluating Experience
Evaluating Usability
Evaluating Contextual Fit
Qualitative Evaluation with Users
Qualitative methods can center around…
- Users reporting on their experience
- You observing the user
- … or a combination
We will get into three examples of methods:
1. Interviews
2. The Think Aloud Protocol
3. Diary studies
User Feedback
Interviews #1
Interviews #2
Focus Groups #1
Focus Groups #2
Interviews - Data
Interviews - Analysis
Coding: Grouping parts of the data into themes
Think Aloud #1
The participant carries out a pre-defined task using the system
- During the task, the participant explains what they are thinking and doing, e.g.
- “I’m pressing the search field and typing in…”
- I can’t seem to find the menu. Maybe up here…” moves cursor
Think Aloud #2
Think Aloud - Data
Created during the study:
- Video recording
- …and/or combined audio and screen recording
- Notes
After the study:
- Transcripts of audio, aligned with video/screen recoding
- Potentially, only critical incidents are transcribed
Think Aloud - Analysis
Think Aloud - Focus Shift Analysis
Diary Studies #1
Diary Studies #2
Diary Studies - Data
Data from diary studies varies a lot:
- Text
- Photos
- Audio
- Annotations on images, maps, etc.
- …
Data Studies - Analysis
Pitfalls #1
Conversations are social situations -> People will behave like in any other social situation
Participants in a user study
- … Want to be polite / feel like you know more about the system than them
Ways to mitigate:
- Explain the participant’s role of domain expert (you want to learn from them, not the other way around)
- Let someone other than the person who made the system conduct the study (and let the participant know this)
- Use mock-ups, make it clear that system is not finished