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Zonka- available for both iOS and Android

Zonka is available on both Android and iOS platforms and can be used on Android Smartphones and Tablets as well as iPhones and iPads.

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Get better quality and filtered data with Hide and Skip Logic Surveys in Zonka

Skip Logic

Based on customer’s selection, you can skip a couple of screens in the survey or complete the survey.

Hide Logic

Based on customer’s selection, you can hide certain irrelevant screens in the survey so that the customers are only answering questions relevant to them.

How Skip Logic-based Surveys can make your and respondent’s survey experience better

Skip Logic has multifarious advantages for both – one who creates the survey and the other who fills it. It creates shorter surveys for the respondents and gives them a customized experience. For the survey maker, it absorbs the hard work out of creating a huge number of surveys for the different set of respondents and reduce survey fatigue as well as helps in getting more filtered and rich data. Super win!

Three reasons how skip logic in surveys makes the survey experience better-

Shorter surveys

Short surveys mean less hard work and less frustration in the respondents’ thus higher completion rates. Also, short and crisp surveys are time-saving and you receive volumes of rich and filtered feedback data through such surveys. Shorter surveys also lead to more thoughtful responses from the people.

Relevant Surveys

If a question does not apply to a respondent he won’t see it. The respondent can only view the questions that are relevant to him based on his previous selected option. For example- If Tiffany only visits your cafe in North Sydney, she doesn’t have to answer questions about your cafe in any other location besides it.

Go with the Flow

Relevancy in the survey patterns leads to a smoother flow of the survey. Tap, tap, tap, and the survey is complete! It gets as easy as that. Non-applicable questions break the flow of the survey often leading to half-filled surveys from the respondents and high survey opt-out rates.

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