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Guides for SightX data analysis features.

Data Cleaning

This article details how to clean data and scrub responses from survey projects in SightX.

Personas

Personas are a way to cluster respondents so that you can view and compare data for various respondent groups. This page provides an overview of how to configure and use personas to improve your data analysis.

Sample Weighting

This article explains how to weight the sample collected in a SightX project.

Respondent Segmentation in SightX

A step-by-step guide to uncovering meaningful customer groups through clustering—turning your survey data into actionable insights.

Sharing Survey Results

Export data to Excel or Powerpoint, invite other users to collaborate, or send a dashboard link.

SightX Custom Visualization and Branding Suite

Generate polished, presentation-ready reports in minutes!

Significance Testing

This article explains what significance testing is and how to apply and interpret it in SightX.

Analyzing Open-ended Text Responses in SightX

This article explains how to analyze open-ended text questions in SightX.

TURF Analysis

This article reviews how to use a TURF analysis to choose the right combination of products, features, or messages to appeal to the widest audience.

Use Crosstabs in SightX

Crosstabs are a simple way to view survey results and compare data between groups in a table. This article explains how to build and use crosstabs in SightX.