DeepTalk analyzes customer and employee feedback from various text sources, providing insights into sentiment and satisfaction metrics.

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Customer experience, research, and people teams can use DeepTalk to make sense of large volumes of customer and employee feedback without manually reviewing every comment. It analyzes text from sources such as surveys, reviews, chats, and emails, then classifies responses by topic and sentiment to reveal recurring concerns and feedback themes. Teams can explore the findings in dashboards and use them to understand NPS and CSAT results, including the comments behind the scores. DeepTalk also supports custom AI models and categories, and can generate tailored reports on a chosen schedule. It may suit organizations that need to analyze open-ended feedback and monitor customer or employee experience across multiple sources.

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