In General Polling, researchers choose between qualitative and quantitative approaches—or blend both—to meet study objectives. Each offers unique insights: one explores the “why,” the other measures the “how much.” At Gotham Polling, we tailor designs to harness the strengths of each method.
Methods: Focus groups, in-depth interviews, ethnography.
Purpose: Uncover attitudes, motivations, and emotional drivers behind behaviors.
Output: Rich narratives, thematic analyses, verbatim quotes.
When to Use: Early stages of product development or campaign crafting, where you need context before measuring.
Methods: Structured surveys, polls with closed-ended questions, large-scale sampling.
Purpose: Quantify prevalence of opinions or behaviors and test hypotheses.
Output: Statistical reports, charts, significance tests.
When to Use: After qualitative insights have defined key variables, or when precise estimates and comparisons are needed.
Aspect | Qualitative | Quantitative |
Sample Size | Small (8–20 participants) | Large (hundreds to thousands) |
Data Type | Textual, visual, observational | Numeric, statistical |
Analysis | Thematic coding, narrative synthesis | Descriptive/inferential statistics |
Output | Insights, concepts, hypotheses | Estimates, confidence intervals |
A robust General Polling strategy often begins with qualitative exploration to uncover themes. These themes inform quantitative questionnaire design, ensuring surveys measure what truly matters. Gotham Polling’s mixed-methods frameworks deliver both depth and breadth for comprehensive insights.
Choosing between qualitative and quantitative polling isn’t an either/or decision but a matter of aligning methods with research goals. For expert guidance on designing mixed or standalone studies, visit gothampolling.com and explore our full suite of General Polling services.