How Ipsos Uses AI and NLP to Automate Analysis of Open-Ended Survey Responses in Large-Scale International Studies

By: GoBeyond Team

July 3, 2025

3 min read

Ipsos AI survey analysis dashboard showing theme extraction and sentiment analysis

Quick Overview

Ipsos deployed AI and natural language processing (NLP) to automate the analysis of thousands of free-text comments across multiple languages and cultures in large-scale international surveys. The AI detected key themes, sentiments, and brand associations, reducing manual bias and accelerating time-to-insight. This approach enabled faster, more consistent qualitative data interpretation and deeper consumer insights.

Ipsos

Company Size

Large multinational market research firm

Revenue Range

Not publicly disclosed

Primary Challenge

Accelerating qualitative survey analysis and improving consistency and insight depth

Key Metrics

\- Faster qualitative analysis\- Consistent coding and theme detection\- Reduced manual bias\- Enhanced insight depth across languages and cultures

The Problem

Manual coding of open-ended survey responses was slow, inconsistent, and prone to bias, limiting timely insights

The Solution

AI and NLP-powered automated text analysis platform processing multilingual survey responses, extracting themes and sentiments

Results

\- Significantly reduced time-to-insight\- More accurate and consistent qualitative analysis\- Deeper understanding of consumer attitudes and behaviors\- Scalable analysis across global markets