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Weighting rebalances the sample to align it with objectives. Objectives are expressed as percentages, as opposed to quotas, which are set in individuals. Prepare the weighting during fieldwork: it applies to the data collected.

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Three ways to weight

1

From the quotas (the simplest)

In the Weighting tab, reuse the quota objectives directly, then launch the weighting.
2

With custom objectives

Define your own objectives (remove a variable, set a 50/50 on age, and so on), flat or crossed like quotas. Only on Single choice questions: for a multiple choice question, create as many yes/no recodes.
3

By importing external weights

Keep the interview ID and the weight. Use dots as the decimal separator (not commas). Save as UTF-8 CSV, then choose Import weights.
The interview ID is the interview’s identifier on the platform: the first column of the interview list. It is the key that links your re-imported file to the platform. Do not confuse it with the panelist ID.
Reusing the quotas fails if the quotas of an iteration add up to more than 100%: a message tells you so, the objectives are not computed and your current objectives are kept. Correct the quotas concerned, then run the reuse again.

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Manual weighting

You can edit the coefficients by hand and choose the level of precision (rounding, total = 100%).

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Automatic weighting

If the weighting objectives are set before or during fieldwork, the weighting triggers on its own at closing: as soon as the planned number of interviews is reached, fieldwork closes and the weighting runs automatically. Allow a few minutes between the last interview and data being ready. A confirmation e-mail notifies you once the weighting has run.
Automatic closing is set in Fieldwork settings.

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The efficiency report

Weighting produces a Weighting efficiency report: weighting efficiency, weights applied and launch date.
Fine-grained data preparation — recodes, crosstabs, coding — is detailed in the Analysis stage.
Last modified on August 24, 2026