Quantitative research measures how many and how much using numeric, structured data, while qualitative research explores how and why using open-ended, descriptive responses. The simplest way to remember it: quantitative answers are counted and qualitative answers are read. Strong research often combines both.
What quantitative research is
Quantitative research collects data you can count and statistically analyze. It uses closed-ended questions such as rating scales, single and multiple choice, and numeric inputs, producing results you can chart, average, and compare across groups. Its strengths are measurement, comparison, and projecting findings to a larger population when the sample is representative. It answers questions like how many customers are satisfied, which feature ranks highest, or how a score changes over time.
What qualitative research is
Qualitative research collects descriptive data that captures opinions, motivations, and language in respondents' own words. It uses open-ended questions, interviews, and open-text fields, producing responses you read and interpret rather than count. Its strength is depth: it surfaces the reasons behind a number, reveals themes you did not anticipate, and captures nuance that fixed answer options miss. It answers questions like why people feel a certain way or what words they use to describe a problem.
Qualitative vs quantitative at a glance
| Dimension | Quantitative | Qualitative | |---|---|---| | Data type | Numbers and counts | Words and descriptions | | Typical questions | Scales, choice, numeric | Open text, interviews | | Answers | How many, how much | How and why | | Analysis | Statistical, charted | Thematic, interpretive | | Sample size | Larger | Smaller | | Best for | Measuring and comparing | Exploring and understanding |
When to use each
Use quantitative research when you need to measure something, compare segments, or track a metric over time, and you can phrase the question with fixed answer options. Use qualitative research when you are exploring an unfamiliar topic, want to understand motivations, or need to hear how people describe an experience in their own words. The two are complementary: qualitative research is excellent for generating hypotheses, and quantitative research is excellent for testing them at scale.
When to combine them
Many studies benefit from a mixed-methods approach in a single survey. A common pattern is to ask a scaled question to measure attitude, then follow with an open-text question to capture the reason behind the rating. This pairs a number you can chart with context you can read, so you learn both what people think and why.
How SegmentOS helps
SegmentOS supports both styles in one survey. You can add scaled and choice questions for quantitative measurement alongside long-text questions for qualitative depth. To make open-ended responses faster to work with, AI open-text analysis groups answers into themes and surfaces sentiment so you can interpret qualitative data without reading every response by hand. See survey best practices for writing clear questions of both kinds.
Frequently asked questions
What is the main difference between qualitative and quantitative research?
Quantitative research produces numeric data you count and analyze statistically, while qualitative research produces descriptive data you read and interpret. In short, quantitative measures how many and qualitative explains why.
Can I use both methods in the same survey?
Yes. A common approach is to ask a scaled question to get a measurable number, then add an open-text question to capture the reason behind it. This combines breadth with depth in one study.
Which method needs a larger sample size?
Quantitative research usually needs a larger sample so results are reliable and can be compared across groups. Qualitative research often uses smaller samples because the goal is depth of understanding rather than statistical projection.
How does SegmentOS handle qualitative data?
SegmentOS lets you collect open-text responses and then use AI open-text analysis to group answers into themes and detect sentiment, making large volumes of qualitative feedback easier to interpret.
Is open-ended feedback qualitative or quantitative?
Open-ended feedback is qualitative because it captures responses in respondents' own words rather than as fixed, countable options. You can layer light quantitative analysis on top by counting how often a theme appears.