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Blix is an AI tool for analyzing text feedback. It processes open-ended survey responses, online reviews, and other written comments, turning them into structured insights for researchers and marketers.
Upload a dataset of respondent answers and get automated text coding. Blix groups similar statements and highlights themes and patterns, reducing manual tagging work from days to minutes. This is especially useful for large survey waves and recurring NPS studies.
Blix can work with reviews from online stores, apps, social media, and feedback forms. The AI identifies recurring issues, loyalty drivers, and reasons for customer dissatisfaction. Outputs can be used in reports, presentations, and product analytics.
Blix is designed for in-house research departments, agencies, and product teams that need speed and repeatable analysis. It reduces manual effort so specialists can focus on interpreting results and forming conclusions.