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What is Tidepool?

Tidepool is an AI tool that helps product teams make better decisions by analyzing user text interactions.With its AI-based text interfaces, Tidepool can uncover patterns in how users interact with your software.

It saves you time by automatically discovering the topics users talk about, the popular languages used, and the actions that are turned into shortcuts.Tidepool uses embeddings to cluster together similar text and surface important attributes from the data, without the need for manual intervention.

Its intuitive visual interface allows you to expand categories of interest and drill into specific conversations.It helps measure and categorize new user interactions, track trends in user activity, and correlate text attributes with product metrics.

Tidepool works with any data infrastructure, whether it's an SDK, CDP, or reverse-ETL.

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⭐ Core features & benefits

Tidepool offers a variety of features and benefits that make it a top choice for a variety of use cases. These are some of the key features:

  • ✔ī¸ Analyze user interactions
  • ✔ī¸ Automatically discover topics
  • ✔ī¸ Cluster similar text
  • ✔ī¸ Track trends in user activity
  • ✔ī¸ Correlate text attributes with product metrics

⚙ī¸ Use case ideas for Tidepool

  1. Refining product-market fit via AI powered user interaction analysis.
  2. Tracking trends in user activity to understand user interactions with a new product.
  3. Correlating text attributes with product metrics.

🙋‍♂ī¸ Users who use this tool

Tidepool is used by many user groups, including but not limited to some of the following:

Product team
Ux designer
Marketing analyst

💰 Tidepool Pricing

Tidepool uses a Freemium pricing model , meaning there is a limited free tier or trial period along with other options. It also offers 2 pricing packages matching different needs and use cases.

** Prices are subject to change. Always verify pricing information.

Starter free




ℹī¸ Find more

In summary Tidepool is an AI tool that analyzes user text interactions to help product teams make better decisions. It provides insights into user behavior patterns and helps measure and categorize new user interactions.

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