Tidepool

What is Tidepool?

Tidepool, developed by Aquarium, is a product analytics tool built specifically for AI text interfaces. It uses embeddings to cluster similar user text and surface the details that matter, delivering automated insights into how people interact with your product. Its visual interface lets teams track trends in user activity and see how text attributes correlate with key metrics, reducing the manual work typically involved in analysis.

Tidepool connects to your existing data setup through SDKs, CDPs, or reverse-ETL processes.

Security is handled at an enterprise level: the platform holds SOC 2 Type II certification, supports Single Sign-On (SSO), and offers self-hosting options.

Who created Tidepool?

Tidepool was created by Aquarium, a company focused on product analytics for AI text interfaces. Sarah Sachs, who leads Engineering at Tome, noted that Tidepool has been instrumental in providing the insights needed to build tools for expressing ideas in the workplace.

What is Tidepool used for?

• Automated insights with embeddings: AI-driven understanding of your user data.
• Text clustering and highlighting: Groups similar user text and surfaces key attributes.
• Subcategory exploration: Drill into specific areas of interest within your data.
• Conversation analysis: Detailed examination of user conversations, with automatic categorization of new interactions.
• Trend tracking: Monitors shifts in user activity and evolving behavior patterns.
• Metric correlation: Links text attributes directly to product metrics for data-driven decisions.

Who is Tidepool for?

• Technical analysts who need deep data insights.
• Nontechnical stakeholders who want to understand user behavior without digging into technical details.

Once connected, Tidepool handles the analysis loop: grouping similar user text, highlighting important details, tracking changes in activity, and correlating text attributes with product metrics so teams can act on what they find.