Understand employee sentiment, concerns, and motivations by analyzing internal feedback with aspect-based sentiment analysis.
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create 5 reports in every 30 minutes at Kimola.
Whether from employee engagement surveys, internal reviews, or exit interviews, Kimola allows you to securely upload and analyze feedback from diverse sources. You can import survey responses in Excel, CSV, or TSV formats, map key fields, and instantly categorize feedback into meaningful themes.
Kimola assigns sentiment for each theme in a single employee feedback, ensuring you capture every detail—what employees like, dislike, and why. Even when an employee 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!
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 surveys from VOE (Voice of Employee) —without human error.
Kimola analyzes 30+ languages, making it easy for international teams to analyze employee feedback in multiple languages without separate processing. Reports can be generated in different languages such as English, Spanish, French, German, and more—helping companies with diverse workforces report employee concerns across different regions.
Kimola analyzes large-scale employee feedback 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 employee feedback to uncover what motivates your workforce, what challenges they face, and how they perceive the workplace environment. AI-driven analysis detects patterns across survey responses, highlighting key motivators, recurring concerns, and areas for improvement—helping HR teams make informed decisions to enhance employee satisfaction and retention.
Once your employee feedback 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 HR teams and decision-makers can quickly grasp workplace concerns 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.
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Employee Feedback Analysis is the process of collecting, analyzing, and interpreting employee feedback from surveys, reviews, and internal discussions. It helps organizations identify workplace strengths, uncover challenges, and improve employee satisfaction by extracting meaningful insights from qualitative responses.
Understanding employee sentiment and concerns is essential for fostering a healthy work environment, reducing turnover, and improving productivity. Analyzing feedback helps HR teams and decision-makers pinpoint areas that need improvement, enhance company culture, and make data-driven decisions that positively impact employee engagement.
By identifying recurring concerns, motivators, and satisfaction drivers, organizations can proactively address issues, strengthen leadership strategies, and improve employee experience. A structured analysis helps businesses make informed HR decisions that foster a more engaged and motivated workforce.
Kimola uses Aspect-Based Sentiment Analysis to break down feedback into themes and assign sentiment to each. This ensures that responses covering multiple topics—such as management, work-life balance, and compensation—are categorized correctly, providing a detailed and structured analysis.
Yes. Kimola analyzes employee feedback in 30+ languages without requiring translation. Businesses can gain insights from global teams and filter feedback by language to understand regional issues.
Kimola allows you to upload employee surveys, internal reviews, and exit interview responses in formats like Excel, CSV, and TSV. The platform then processes this data, automatically detecting themes and sentiments.
Analyze customer feedback in 30+ languages—no AI training needed.
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