Surveys
Collect quantitative and qualitative data from a large number of users through structured questionnaires.
Research Classification
Research Type
Attitudinal Behavioral
Attitudinal: Focuses on what people say: their attitudes, beliefs, and reported behaviors.
Data Type
Qualitative Quantitative
Mixed Methods: Combines both qualitative and quantitative data collection methods.
Requirements
Budget
lowMinimal resources required
Timeline
short1-2 weeks
Team Size
singleCan be conducted by one person
Research Goals
exploratory evaluation
Pros & Cons
Pros
- ✓ Reaches large sample sizes
- ✓ Cost-effective data collection
- ✓ Can combine qualitative and quantitative questions
- ✓ Easy to distribute remotely
Cons
- × Limited depth of insights
- × Self-reported data may be inaccurate
- × Question design affects data quality
- × Survey fatigue impacts completion rates
- × Difficult to follow up on interesting responses
Use Cases
Example Scenario
Surveying existing customers to prioritize features for the next product release.
Additional Applications
- • Customer satisfaction measurement
- • Feature prioritization
- • Demographic research
- • Preference testing
- • Baseline metrics establishment