Trodo is an AI product analytics platform designed for AI-native teams, capturing every user interaction—including clicks, prompts, tool calls, and AI-generated responses—to provide a comprehensive view of feature adoption, retention, and conversion across both traditional and AI-powered interfaces.
Key Features and Functionality:
- AI Feature Adoption Tracking: Monitor which AI features are utilized, by whom, and the frequency of usage to understand activation and retention impacts.
- Prompt-Level Funnels: Treat prompts and tool calls as events, enabling the construction of funnels from feature initiation to successful responses without the need for SQL.
- Outcome Attribution: Link AI feature usage directly to revenue, retention, and conversion outcomes to assess their effectiveness.
- Unified Data Integration: Combine traditional product events with AI interactions in a single platform, eliminating the need for multiple tools.
- AI-Generated Product Requirement Documents (PRDs): Transform product analytics signals into prioritized recommendations and AI-generated PRDs to expedite development.
- Built-In Agent Observability: When issues arise in production, drill down from metrics to the specific agent trace, prompt, and tool call responsible.
Primary Value and User Solutions:
Trodo addresses the limitations of traditional product analytics tools, which often fail to capture the nuances of AI interactions. By treating AI interactions as first-class events, Trodo enables product teams to measure and optimize AI feature adoption, assess their impact on key performance indicators, and make data-driven decisions to enhance user engagement and business outcomes. This unified approach ensures that AI-native products are effectively monitored and improved, leading to better user experiences and increased revenue.
