User Interviews
One-on-one conversations with users to gather in-depth insights about their needs, experiences, and pain points.
Research Classification
Research Type
Attitudinal Behavioral
Attitudinal: Focuses on what people say: their attitudes, beliefs, and reported behaviors.
Data Type
Qualitative Quantitative
Qualitative: Collects non-numerical data like observations, interviews, and open-ended responses.
Requirements
Budget
mediumModerate investment needed
Timeline
short1-2 weeks
Team Size
smallWorks with 2-3 people
Research Goals
exploratory evaluation
Pros & Cons
Pros
- ✓ Provides rich qualitative data
- ✓ Builds empathy with users
- ✓ Allows for follow-up questions
- ✓ Uncovers user motivations and attitudes
- ✓ Relatively easy to set up
Cons
- × Time-consuming to conduct and analyze
- × Requires skilled interviewers
- × Subject to participant bias
- × Small sample sizes limit generalizability
- × Self-reported data may differ from actual behavior
Use Cases
Example Scenario
Interviewing healthcare professionals to understand their workflow challenges before designing a medical application interface.
Additional Applications
- • Product discovery interviews
- • Customer journey mapping
- • Problem validation
- • Feature prioritization
- • User persona development