Analysis V2: Raising the Standard of Analytical Excellence

Faster, smarter, and more interpretable analysis

Extracting insights from complex datasets often involves juggling multiple statistical results, manually checking statistical significance, and switching between quantitative tables and verbatim to grasp the full picture. This constant back-and-forth consumes valuable time and delays the moment when true insights can emerge.

With Analysis V2, Automatic Sentiment, and Statistical Significance, Glaut enhances the overall analysis experience, meeting the highest market standards for quantitative research while naturally integrating a qualitative layer of insights.

A new Analysis Module (V.2)

The new Analysis module has been completely re-engineered for improved speed and clarity.

• Performance has increased threefold (3x), allowing an analysis of hundreds of verbatim in under 5 minutes.
• Every key theme in analysis is now extracted with sentiment automatically calculated, making it easier to quickly identify which concepts provoke positive or negative reactions.
• The new analysis logic also highlights where responses differ the most across segments or variables, helping researchers focus on meaningful patterns.

Why this matters

Analysis V2 removes the need for researchers to wait for processing cycles or handle exports. They can instantly focus on interpretation, turning raw data into structured insights faster than ever.

Automatic Sentiment

Each theme now receives an automatic sentiment score, weighted by the frequency and intensity of the opinions expressed.

Researchers can filter verbatim by sentiment directly within the theme view, allowing them to explore positive, negative, or neutral comments on any analysis.

Why this matters

Previously, understanding tone required lengthy manual review. Now, researchers can instantly see respondents’ feelings about each theme and explore the reasons behind them. This provides emotional clarity to every quantitative pattern.

Significance Stats

The new significance layer automatically checks if the relationships in your breakdowns are statistically significant.

• With categorical variables, Chi-squared tests with p-values and Cramer’s V indicate strength and reliability.
• In numeric variables, Welch’s ANOVA groups similar results and identifies significant differences between groups.

Results are clearly displayed for easy viewing, requiring no manual verification.

Why this matters

After fieldwork, researchers often spend days verifying where differences are significant. Glaut now automates that process in seconds, giving researchers confidence that what they see is meaningful.

Setting a new analytical standard

Together, the new Analysis Module, Automatic Sentiment, and Statistical Significance represent a leap forward in Glaut’s analytical capabilities. They combine speed, rigor, and interpretability, helping researchers save time while enhancing the quality of every insight.

For clients, this means research that is both statistically sound and immediately actionable: a balance of quantitative accuracy and qualitative depth that defines the next generation of analysis on Glaut.

Learn more or see it in action

If you’d like to explore how these updates work within your ongoing projects, reach out to your Glaut contact directly, or email us at hello@glaut.com.