User Experience (UX) Researchers

Get started with Kimola as a User Experience Researcher and find out how you can use Kimola products. Analyze user reviews, product reviews and customer feedback, classify and filter by sentiment, popular topics, view NPS score of each classification. Start user experience research right away by using Kimola products.

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3,000+ individuals including User Experience Researchers
create 5 reports in every 3 minutes at Kimola.

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and trusted by powerful enterprises across 80+ countries.

Discover quick research without signing up. offers single report options for small scale of research. Paste links or find your apps on to analyze user reviews without any hassle. Without paying for a monthly subscription, check out for a one-time analysis, get excel and PDF reports, filter classified data and view NPS for each category. Filter by sentiment and popular topics. Starting from $12, conduct a one-time analysis and get single reports.

Discover quick research without signing up
Explore comprehensive research with Kimola Cognitive

Explore comprehensive research with Kimola Cognitive

Drag and drop spreadsheet or integrate with customer support softwares. Scrape reviews from 30+ channels such as Amazon, Trustpilot, G2 and classify user reviews without any training. Leverage multi-label classification to understand features that are liked by the users, have a comprehensive understanding and generate executive summary, SWOT analysis and more interpretations with GPT.

Start with Kimola Cognitive

Analyze without training

Analyze data without any training, just by simply dragging and dropping a spreadsheet. Integrate Zendesk, Google Sheets, Intercom to pick insights from conversational data.

Explore Dynamic Classification
Analyze without training
Classify with Multi-Labels

Classify with Multi-Labels

Users leave reviews about multiple features for products and tools. Analyze reviews with multi-label classification and use sentiment filters to measure emotions across those features.

Explore Multi-label classification

Generate Product Features List

Classify user reviews with a simple drag and drop and choose "product features list" in the gallery. With the GPT integration, Kimola Cognitive will craft a list of product features that are needed based on customer reviews.

See all interpretations
Generate Product Features List
Generate FAQ's

Generate FAQ's

After classifying user reviews, choose FAQ from the interpretation gallery to list frequently asked questions of users. Use the list on the website as content, or to resonate more with customers on application stores, product descriptions and so.

View Sample FAQ’s

Use pre-built models for KPI tracking

Track KPI's for design, features, quality and other labels by using pre-built models published by Kimola. Visit Kimola Cognitive Gallery to explore pre-built models for different business needs.

Visit Kimola Cognitive Gallery
Use pre-built models for KPI tracking
Analyze in 25+ languages

Analyze in 25+ languages

Enhance customer feedback analysis across over 25 languages by uploading a spreadsheet with multi-language feedback and receive detailed analysis within the same report.

Start analyzing

Frequently Asked Questions

  • offers a search box to paste links from 6 sources, offers context based analysis and sentiment analysis with popular topics. Single reports can be purchased without a monthly subscription on On the other hand, Kimola Cognitive is a much more comprehensive tool, can scrape reviews from 30+ sources, can analyze millions of customer feedback and users can upload their own spreadsheet to analyze customer reviews, online surveys. As a conclusion, offers single reports starting from $12, Kimola Cognitive is best for larger teams, agencies, research companies and mid-size companies that need comprehensive results with a monthly subscription, starting from $199.

  • Kimola allows UX researchers to quickly analyze user feedback without signing up for a monthly subscription by offering single report options for small-scale research. Simply paste the links or find your apps on to access user review analysis without any hassle.

  • UX researchers can access Excel and PDF reports, filter classified data, view NPS for each category, and filter by sentiment and popular topics through Kimola's single report options for small-scale research projects, starting from $12.

  • UX researchers can set up Airset Browser Extension on Chrome Store. To set up, simply navigate to Kimola Cognitive dashboard, find the API key and paste it into the extension. After setting it up, Airset Browser Extension can scrape reviews from 30+sources such as Amazon. Trustpilot, Youtube, Udemy, and more. Find more details in this article.

  • Multi-label classification in Kimola Cognitive enables UX researchers to understand which features are liked by users by analyzing reviews that mention multiple features. Sentiment filters can be used to measure emotions across different features.

  • UX researchers can analyze user sentiment and popular topics within customer feedback using Kimola's tools by leveraging features like sentiment analysis and context-based classification (topic modeling) to gain valuable insights.

  • Kimola Cognitive helps UX researchers generate executive summaries, SWOT analyses, and other interpretations from user reviews by using advanced technologies by using the OPENAI integration. After uploading a spreadsheet, Kimola Cognitive shows an interpretation gallery to choose from that includes summaries, lists and powerful marketing materials.

  • UX researchers only need a spreadsheet that has customer reviews, open-ended survey results or interactional conversations. They simply need to drag and drop the spreadsheet onto the dashboard and start the analysis instantly.

  • UX researchers can utilize pre-built models in Kimola Cognitive for tracking key performance indicators (KPIs) related to design, features, quality, and other labels that are relevant to their specific business needs. These pre-built models provide a structured framework for analyzing user feedback and deriving meaningful insights without the need for extensive training or manual setup. By leveraging these models, UX researchers can streamline their analysis process, identify patterns and trends more efficiently, and make data-driven decisions to improve the user experience of products and services.

  • Kimola Cognitive supports the analysis of customer feedback in over 25 languages by allowing users to upload spreadsheets containing multi-language feedback for detailed analysis within the same report. UX researchers can upload multiple languages in one spreadsheet and analyze and filter them directly on the dashboard. This feature enables comprehensive and inclusive analyses across diverse markets and customer segments, providing valuable insights into international user preferences, sentiments, and trends. By leveraging this capability, UX researchers can gain a global perspective, identify cross-cultural patterns, and tailor their design strategies to better meet the needs and expectations of a diverse user base.

  • UX researchers can enhance customer engagement across various platforms by leveraging Kimola Cognitive's advanced AI capabilities to generate a targeted and relevant list of frequently asked questions (FAQs) directly from user reviews. By navigating to the "FAQ" selection within the interpretation gallery, after the initial step of uploading user feedback, researchers can tap into the power of natural language processing to sift through and identify prevalent queries and concerns that customers frequently express. This automated process of curating a coherent and insightful FAQs list from genuine user feedback not only enables UX researchers to develop content that deeply resonates with their audience but also significantly improves problem-solving efficiency. Implemented across digital touchpoints like websites, product descriptions, app stores, and more, these FAQs effectively bridge the information gap, fostering an environment of trust and enhanced user engagement while optimizing the user experience with actionable insights.