How to extract keywords from SatisMeter NPS Survey Comments using generative AI
How to extract keywords from SatisMeter NPS Survey Comments using generative AI
If you're collecting NPS survey comments from your customers, you're likely sitting on a goldmine of valuable insights into what your customers care about and how they perceive your product or service. However, manually sifting through these comments to identify key themes and trends can be a daunting task. In this post, we'll show you how to use generative AI to automatically extract keywords from SatisMeter NPS survey comments, so you can quickly identify the most important insights and take action based on them.
What is Keyword Extraction?
Keyword extraction is a natural language processing (NLP) technique that involves identifying the most important or relevant words or phrases in a piece of text. In the case of NPS survey comments, this can help you quickly identify common themes and sentiments expressed by your customers. By extracting these keywords, you can gain a deeper understanding of what your customers care about, what they're happy with, and where there's room for improvement.
Keyword extraction can be automated using generative AI algorithms, which learn to recognize patterns and features in the text that are associated with important words or phrases. These algorithms can be trained on a labeled dataset of text to improve their accuracy and relevance.
Example Use Cases
Use cases for extracting keywords from SatisMeter NPS survey comments include:
- Identifying common issues and trends
- Improving product or service quality based on customer feedback
- Identifying areas for product or service improvement
- Measuring sentiment and customer satisfaction levels
- Identifying potential churn risks and taking proactive steps to retain customers
Teams that might find these use cases helpful include: product, marketing, customer success, and operations.
Accessing your SatisMeter NPS Survey Data and Identifying Preliminary Keywords
The first step in using generative AI to extract keywords from your SatisMeter NPS survey comments is to access your survey data. You can do this by logging into your SatisMeter account and exporting your survey data in CSV format. Once you have your data, you can use generative AI tools to identify preliminary keywords and measure their frequency in the comments.
Once you have your preliminary keywords, you can use them to refine your analysis and gain deeper insights into what your customers are saying about your product or service.
In Conclusion
By using generative AI to extract keywords from your SatisMeter NPS survey comments, you can quickly identify common themes and sentiments expressed by your customers. This can help you take proactive steps to retain customers, improve your product or service, and ultimately drive growth and success for your business.