Score normalization calculator

Convert a score from its original scale to a new one, for example 1–5 to 0–100 or 0–10 to 1–5. Useful for putting different metrics into one report.

Normalization — a linear conversion of a value from one range to another that keeps its relative position within the scale.

Calculation FAQ

Original and new scale

Original value

For example, an average rating of 4.2

Original scale minimum

For example, 1

Original scale maximum

For example, 5

New scale minimum

For example, 0

New scale maximum

For example, 100

Normalized score

—

Result

on the new scale

Interpretation

Change the inputs to recalculate.

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Data is not stored — calculation runs in your browser.

How normalization is calculated

Formula

Normalized = newMin + (value − oldMin) × (newMax − newMin) / (oldMax − oldMin).

Linear conversion

The position within the scale is kept: the middle of the old scale becomes the middle of the new one.

One reporting scale

Normalization lets you show different metrics in one range, such as 0–100.

Limits

The method does not make different questions mean the same thing; it only aligns their scale.

Calculation examples

1 CSAT 1–5 to a 0–100 scale

Value: 4.2

Old scale: 1–5

New scale: 0–100

4.2 becomes 80 points out of 100.

2 A 0–10 rating to a 1–5 scale

Value: 8

Old scale: 0–10

New scale: 1–5

The new score is 4.2 out of 5.

What to avoid

Normalizing different meanings A 0–100 range does not turn NPS and CSAT into one metric. Always label where a number comes from.
Going outside the range If the original value is below the minimum or above the maximum, check the input and the scale.
Hiding the original scale Keep the conversion method in the report so the number does not suggest false precision.

Frequently asked questions

Can I convert a 1–5 score to a percentage?

Yes, to show the position within the scale. It is not the same as the share of satisfied customers.

How is normalization different from the top box?

Normalization converts an average score to another scale. The top box counts the share of answers at the top of the scale.

Can I normalize NPS?

You can convert the −100 to 100 range to 0–100, but label it clearly as a transformed NPS.

What about reversed scales?

Invert the scale first so that a higher value means a better result, then normalize it.

Does it work for a quality index?

Yes, once every component of the index points in the same direction and uses the same range.

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