Resources for Better Text Analytics
Practical guides, in-depth whitepapers, and real success stories. Learn how to extract valuable insights from unstructured text data.
Why These Resources?
Text analytics is more than just software. Success depends on the right methodology, clear processes, and solid knowledge. Our resources are based on years of experience working with market research firms, CX teams, and HR departments. Here you'll find proven approaches you can implement immediately.
3+
Success Stories
3
Expert Articles
3
Practical Guides
500+
Readers per Month
Our Most Popular Guide
How to Properly Analyze NPS Comments
The Net Promoter Score alone says little. Only the analysis of comments reveals why customers are promoters or detractors. This guide shows you step by step how to systematically evaluate NPS feedback and translate it into concrete improvement measures.
- Categorization of promoter and detractor feedback
- Identification of top drivers for satisfaction
- From analysis to action: practical examples
What Our Customers Have Achieved
Real projects, measurable results. Learn how companies across industries have transformed their text analytics with deepsight.
80% Time Savings in Open-Ended Response Analysis
A leading market research firm analyzes over 50,000 open-ended responses annually. With deepsight, analysis time dropped from 5 days to less than one day - while maintaining high quality.
Employee Survey Participation Doubled
A mid-sized company struggled with low employee survey participation. Through faster evaluation and transparent communication of results, participation rose from 35% to 72%.
NPS Drivers Identified and Addressed
An e-commerce company didn't understand why their NPS was stagnating. Analysis of 15,000 comments identified delivery time as the main driver - a targeted improvement raised NPS by 12 points.
Detailed case studies with customer names available upon request.
Request Case StudyIn-Depth Insights
Comprehensive analyses on methodology, best practices, and the latest developments in text analytics.
AI-Powered Text Analytics in Market Research
How to methodically analyze open-ended responses and connect results with quantitative data. Including quality criteria and validation approaches.
GDPR-Compliant Text Analytics
Data protection requirements when processing customer feedback and employee surveys. What you need to consider and how deepsight ensures compliance.
Sentiment Analysis: More Than Positive/Negative
Why simple sentiment scores fall short and how aspect-based sentiment analysis delivers deeper insights.
Immediately Applicable Knowledge
Step-by-step instructions and checklists for your daily text analytics work.
How to Properly Analyze NPS Comments
Step-by-step guide for systematic analysis of Net Promoter Score feedback. From categorization to action planning.
Categorizing Open Survey Responses
How to develop a meaningful category system and achieve consistent results - manually or AI-assisted.
Text Analytics Software Selection
The most important criteria for selecting a text analytics solution. With evaluation matrix to fill out.
Latest Articles
Regular insights into text analytics, NLP, and qualitative research.
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