Turn open-ended survey responses into structured insights. Detect themes, sentiments, and key concerns—no manual tagging needed.
3,000+ growth-obsessed teams from 90+ countries
create 5 reports in every 30 minutes at Kimola.
Upload survey responses from Excel, CSV, TSV, or connect platforms like Google Sheets and Zendesk. Kimola automatically maps text data, allowing you to filter responses based on any column—such as customer type, location, or product category.
Kimola assigns sentiment for each theme in a single survey response, ensuring you capture every detail —what responders like, dislike, and why. Even when a responder mentions different topics within the same review, Kimola successfully breaks down feedback into multiple aspects and accurately assigns sentiment to each, so no insight is lost!t!
Learn about Aspect-based Sentiment Analysis
Kimola's Dynamic Classification™ technology understands context and generates relevant theme clusters without relying on pre-defined categories. It adapts to any dataset, eliminating the need for manual labeling or data annotation. This ensures precise categorization of unstructured feedback from online reviews, surveys, and social media—without human error.
Kimola analyzes 30+ languages, making it easy for international teams to analyze open-ended survey results in multiple languages without separate processing.
Reports can be generated in another language English, Spanish, French, German, and more—helping companies with diverse audience understand motivations and behaviours across different regions.
Kimola analyzes large-scale survey responses and generates structured executive summaries around key topics and themes. Unlike generic AI-generated text, Kimola offers summaries with sub-sections and with sentiment and content classifications, which provides clarity, focus, and actionable insights.
Learn more about Executive Summary
Kimola analyzes survey responses to reveal the motivation and behaviours of responders in any topic. AI-driven analysis detects patterns across any number of survey responses, highlighting key motivations, recurring pain points, and competitive advantages.
Kimola analyzes customer feedback through a four-stage journey framework—Discovery, Purchase Experience, Usage & Support, and Loyalty & Advocacy. By applying its proprietary scoring algorithm, Kimola classifies feedback into these stages to reveal how customers perceive each step, measure satisfaction levels, and pinpoint the critical moments that define brand relationships.
Once your open-ended survey analysis is complete, Kimola sends an email summary highlighting the most critical insights—so every important detail remains safe and accessible directly from your inbox.
These reports provide a structured breakdown of key topics, sentiment trends, and recurring themes, ensuring related teams and decision-makers can quickly grasp what matters without manually sifting through raw data.
Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Find out how Kimola can improve your feedback analysis process.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
Survey analysis is the process of examining survey responses to uncover patterns, sentiments, and key insights. In open-ended surveys, where respondents provide free-text answers, AI-powered tools like Kimola help categorize responses, detect themes, and extract meaningful insights without manual effort.
Survey analysis helps businesses understand customer experiences, expectations, and pain points. By analyzing responses at scale, organizations can make data-driven decisions, improve products or services, and enhance customer satisfaction.
Kimola uses Dynamic Classification™ to automatically detect themes and group responses into meaningful categories. Additionally, its Aspect-Based Sentiment Analysis assigns positive, negative, or neutral sentiment to each detected theme—ensuring no insight is overlooked.
No. Kimola eliminates the need for manual tagging or predefined categories. It automatically detects themes and structures data, saving time and reducing human error.
Yes. Kimola supports 30+ languages, allowing teams to analyze survey responses from international audiences without translation. Reports can be generated in multiple languages, ensuring global accessibility.
Analyze customer feedback in 30+ languages—no AI training needed.
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