Benchmark Testing
Measure UX performance over time using consistent metrics.
Research Classification
Research Type
Attitudinal Behavioral
Behavioral: Focuses on what people do: their actual behaviors and actions.
Data Type
Qualitative Quantitative
Qualitative: Collects non-numerical data like observations, interviews, and open-ended responses.
Requirements
Budget
highSignificant investment required
Timeline
long1-3 months
Team Size
largeRequires a larger team (4+ people)
Research Goals
evaluation
Pros & Cons
Pros
- ✓ Tracks UX improvements over time
- ✓ Provides quantitative performance data
- ✓ Helps with competitive analysis
Cons
- × Requires repeated testing over time
- × Can be expensive to implement
Use Cases
Example Scenario
Comparing usability scores of an application before and after a redesign.
Additional Applications
- • Usability KPIs
- • Competitor benchmarking
- • Product evolution tracking