Ascend.io
Analytics & Data
Automated data pipeline platform that adapts to schema changes without breaking your workflows.
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About Keatext
Keatext turns messy open-ended survey text into structured, quantified insights. It uses natural language processing to categorize feedback by topic, sentiment, and urgency—no manual tagging required.
What it does
Keatext ingests survey responses from platforms like SurveyMonkey or Qualtrics, then applies AI to detect themes, sentiment shifts, and emerging issues. You get dashboards showing what customers actually care about, ranked by frequency and emotional weight.
Best for
- Customer experience teams drowning in unstructured feedback
- Product managers who need data-driven prioritization from user comments
- Market researchers analyzing large-scale open-ended surveys
Strengths
- Handles multiple languages out of the box
- Integrates directly with major survey tools
- Provides sentiment scoring and trend tracking over time
Key features
- AI Theme Detection — Automatically groups similar responses into topics
- Sentiment Analysis — Scores each comment as positive, negative, or neutral
- Trend Tracking — Shows how sentiment and themes change week over week
- Survey Integration — Connects to SurveyMonkey, Qualtrics, Typeform, and more
- Dashboard Exports — Export insights as PDF or CSV for reports
- Multi-Language Support — Analyzes feedback in 10+ languages
