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Introducing: New Open-End Question Improvements

Long Open-End, List Open-End, and Advanced Reporting

Alanna Colaiacovo avatar
Written by Alanna Colaiacovo
Updated today

We’ve rebuilt Open-Ended Questions in Upsiide from the ground up. The result is a cleaner, faster, and more accurate way to generate insights from verbatim data- powered by AI and matched to the type of open-end you’re actually asking.

Upsiide now supports two distinct question types:

  • Long Open-End for narrative, multi-sentence answers

  • List Open-End for short mentions, brand recall, and awareness tasks

Each has its own dedicated reporting model, so you always get outputs that make sense for the data.


Long Open-End

Built for deeper, sentence-based responses. In reporting, Upsiide now automatically identifies themes, sentiment, keywords, and summaries, linking everything back to respondent quotes. You can edit themes, clean low-quality answers, translate multilingual responses, and explore all responses in a flexible table. This replaces the need for manual coding or external analysis tools.

Adding a Long Open-End to your study

To add a Long Open-End to your study:

  • Navigate to the Add + button at the top of the left side pane in create mode

  • Select Open-End

  • Program your question

    • Add your question in the question text box

    • Toggle whether the question is required or optional

    • Toggle whether it is a numeric value only answer

    • Set the minimum or maximum character count (optional)

    **Open ended Questions have an answer limit of 1024 characters**

Interpreting your Long Open-End results

Key features:

  • AI thematic summaries, sentiment categories, tagging

  • Keyword clouds and theme frequency charts

  • Editable themes and full responses table

There are 3 sections in Long Open-End reporting:

Summary: provides AI generated overall summary of your results, and identifies key themes across your responses. Each key theme can be explored deeper, with AI generated summaries of responses related to each theme, and a list of responses mentioning the theme.

Keywords: Can be viewed either as a word cloud or a bar graph, keywords identify frequently used words in your Open-End responses, visualizing your results at a glance. In the word cloud, the larger the word, the more frequently it was mentioned.

All Responses: a list of all responses to your open end, identifying both demographic information (gender, age), and tags of the key themes. You can filter by theme and sentiment, search for keywords, or scroll all responses, giving you a more intuitive analysis of your responses in platform.


List Open-End

A brand-new question type designed for short text answers. In reporting, AI groups spelling variations, organizes mentions into clean buckets, and generates a clear frequency chart. You can merge or hide groups and review all responses in a simplified table.

Adding a List Open-End to your study

To add a List Open-End to your study:

  • Navigate to the Add + button at the top of the left side pane in create mode

  • Select List Open-End

  • Program your settings

    • Add your question in the question text box

    • Toggle whether the question is required or optional

    • Select the limit for how many listed responses you want per respondent

Interpreting your List Open-End results

Key Features:

  • AI grouping of short mentions

  • Clean frequency charts with editable groups

  • Streamlined responses table and AI cleaning

There are 2 sections in List Open-End Reporting:

Summary: provides an AI generated overall summary of your results, and breaks down a list of frequently mentioned responses.

All Responses: similar to the All Responses dashboard for Long Open Ends, this view provides the listed responses of each respondent and includes respondent demographic information as well as editable AI generated keyword tags.


Why it matters

Researchers get instant, structured insights without exporting data or coding themes manually. Brand recall questions finally receive clean, quantitative outputs, while narrative responses receive full qualitative analysis. This update makes open-ends easier to use, easier to trust, and far more valuable across all studies.

Whether you’re collecting detailed feedback or quick mentions, open-ends in Upsiide now deliver the right analysis every time- faster, cleaner, and ready for presentation.

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