Numerical scale question

A numerical scale question asks respondents to pick a number-backed option—each choice maps to a specific numeric value—so you can analyse answers as quantitative data in charts, averages, and crosstabs without manual recoding.

Example of a numerical scale in the Responsly editor

When numerical scales work well

This format fits Likert-style intensity, pain or discomfort scales, satisfaction, likelihood to recommend, loyalty, and any concept where ordered numbers communicate more than arbitrary text labels alone.

You usually label the endpoints so both extremes are explicit—for example 0 = “Not at all likely” and 10 = “Extremely likely”—while intermediate numbers inherit that meaning.

Design tips

Keep the range understandable (for example 0–10 or 1–5) for your audience and culture.
Add a short question stem that states what the numbers measure (“In the last 30 days…”).
Mark critical items as required only when a number is mandatory for routing or scoring.

For continuous drag input instead of discrete numbers, compare Slider questions. For paired opposite adjectives on one line, see Semantic differential.

FAQ

What is a numerical scale question in Responsly?

It is a closed-ended question where each visible answer maps to a fixed numeric value, so you can measure intensity or agreement on a number line while respondents still read clear labels.

When should I use a numerical scale instead of a slider?

Use a numerical scale when you want discrete, evenly spaced values that are easy to chart and compare across segments. Sliders can feel smoother for long continuous ranges—see Slider questions for that pattern.

How should I label the ends of the scale?

Always name the low and high anchors so people share the same meaning of the numbers—for example 0 = Not at all likely and 10 = Extremely likely for recommendation intent.