Product update : August 2025

This update focuses on enhancing core features to improve the overall quality of research—from survey design to data analysis.

First, we've added a new Randomization feature to help reduce response bias.

You can now randomize the order of blocks, questions, and answer choices within your survey. When logical flow must be preserved, you can also group items together and randomize them as a unit.

This minimizes order effects caused by placing certain items at the beginning or end, helping you collect more reliable data.

The Text AI feature has also been upgraded to boost the precision and flexibility of qualitative data analysis.

You can now directly edit auto-generated topics, merge similar ones, or create new topics to better suit your needs—enabling richer and more versatile use of analysis results.

Additionally, the Cross-tabulation tool now supports greater visual flexibility.

With the newly added Transpose feature, you can freely switch the position of the analysis dimension and target, allowing you to interpret data from multiple perspectives.

Use these advanced features in DataSpace to deepen your research and uncover more refined insights today.

Minimize response bias by randomizing blocks, questions, and answer choices

The order in which questions and answer options are presented can directly influence how respondents perceive and evaluate them.

If similar questions are asked consecutively, respondent fatigue may increase in later parts of the survey, potentially lowering response reliability.

To address this, DataSpace now offers a random order setting for blocks, questions, and answer options.

In cases where the survey’s flow or logical structure must be preserved, you can group related items and randomize only within those groups.

This ensures the integrity of the survey's intent while effectively minimizing order bias.

Customize Text AI topics for more usable analysis results

Text AI in DataSpace automatically identifies key topics based on frequently mentioned phrases in open-ended responses, grouping responses with similar meanings.

Although the automatic analysis is generally accurate and ready for use, certain adjustments may be necessary depending on your interpretation or business context.

Now, you can directly add, edit, merge, or delete topics within the platform.

For example, a broad topic like “various products” can be refined into subtopics such as “variety of items” or “variety of brands.”

Likewise, expressions like “excellent freshness” and “fresh product” can be merged into a single topic.

These enhancements help you turn analysis results into actionable business insights, enabling more meaningful conclusions.

Enhanced cross-tabulation for multi-angle data interpretation

Cross-tabulation in DataSpace allows you to intuitively compare results by group or variable—no Excel work needed.

Set criteria like gender, age, region, or job role as columns, and response items like satisfaction score, brand preference, or average usage time as rows.

To further boost flexibility, we’ve introduced the new Transpose function.

This lets you freely switch rows and columns in the table to view data from different perspectives.

With this feature, you’re no longer bound by the original table structure and can reframe the data to suit your analysis goals and insight extraction needs.

It enables deeper, more strategic interpretations.

✅ Analysis｜When using the consumer panel, you can now view quota targets and responses per group in the Response tab. The [Exclude Over-Quota Responses] option lets you control response count to match your goals.

✅ Collection｜Terminology has been updated for better clarity: “Test Launch” is now “Check Response Rate,” and “Official Launch” is now “Collect Responses.”

✅ Edit｜Survey review improvements now show both individual question-level issues and an overall survey severity score. You can immediately identify and fix issues based on review criteria.