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Open-ended text responses are often where the most valuable insights live. But historically, they’ve also been the hardest to analyze. Manual coding, tagging, and summarization take time, and scaling qualitative text across hundreds or thousands of responses has never been easy.
Today, that changes.
We’re excited to introduce AI-Powered Open-Ended Text Analysis, a completely rebuilt experience within SightX that uses generative AI to help teams uncover themes, sentiment, and patterns from qualitative text, faster and more consistently than ever before.
→ Read the official press release here
See What Emerges from the Data, Instantly
With AI-Powered Open-Ended Text Analysis, SightX automatically analyzes open-ended responses to identify recurring topics and associated sentiment across your dataset.
Instead of reading responses one by one, researchers can:
- Instantly surface common themes
- Understand emotional tone at scale
- Filter and search responses to find the most impactful quotes
It’s qualitative analysis designed for speed, all without sacrificing depth.
From Words to Patterns You Can See
Qualitative insights shouldn’t live in spreadsheets alone. The new text analysis experience pairs AI-driven thematics with visual summaries and quantitative charts, allowing teams to see topic frequency and sentiment distribution at a glance.
These visuals make it easier to:
- Spot patterns across large datasets
- Validate qualitative findings with quantitative context
- Share insights confidently with stakeholders
AI Summaries, Guided by You
In addition to thematics and sentiment, SightX generates AI-powered summaries that synthesize key takeaways from open-ended responses, helping teams move faster from raw feedback to insight-ready narratives.
As always, AI acts as an accelerator, not a replacement, ensuring researchers stay in control of interpretation and decision-making.
Part of a Broader AI Evolution
This release follows the launch of AI-Powered Video Analytics and marks another step in SightX’s ongoing AI evolution. Together, these capabilities expand how teams work with qualitative data across text, video, and beyond.
Each release is designed to make research faster, clearer, and more intuitive, powered by responsible, human-centered AI.
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