What is AI agent analytics?

AI agent analytics is the practice of tracking and measuring AI agent behavior in production — capturing every prompt, tool call, agent trace, and user outcome. Trodo provides AI agent analytics that connects agent performance to product KPIs like retention and conversion.

What is agent observability?

Agent observability is the engineering discipline of capturing detailed telemetry from AI agents: traces, spans, prompts, completions, tool calls, latencies, errors, and cost. Trodo combines agent observability with product analytics in one unified platform.

How does Trodo track AI agents?

Trodo tracks AI agents by instrumenting every agent run with a lightweight SDK. Each run captures the full trace — planner steps, tool calls, LLM calls, retrieved context, and final output — plus user identity and session context, so every agent execution is connected to a real product outcome.

How is AI product analytics different from traditional product analytics?

Traditional product analytics tools (Mixpanel, Amplitude, GA4) were built for click-stream events. They track button clicks and page views but cannot natively measure prompts, tool calls, agent traces, or AI outputs. AI product analytics is purpose-built for AI-native products: it captures the full AI interaction, evaluates the outcome, and ties it to the same funnels, retention, and revenue metrics that a product team already cares about.

What metrics should I measure with AI product analytics?

Core AI product analytics metrics include: AI feature adoption rate, prompt success rate, average session AI usage, tool-call success rate, agent task completion rate, AI-driven retention curves, AI feature contribution to activation, satisfaction signals on AI responses, and revenue per AI-active user. Trodo tracks these out of the box.

Can Trodo replace Mixpanel or Amplitude?

Yes, for AI-native teams Trodo replaces traditional product analytics with a unified AI product analytics layer that natively understands prompts, tool calls, and agent traces alongside classic events. Many teams move to Trodo specifically because traditional tools cannot represent AI workflows without expensive custom event modeling.

How fast can I get AI product analytics running?

Most teams ship the Trodo SDK in under an afternoon. Drop in the snippet, identify users, and Trodo automatically captures product events plus any AI agent traces from supported frameworks. Free tier covers up to 1M events/month so you can prove value before scaling.

AI Product Analytics

The AI Product Analytics Platform for AI-Native Teams

Trodo is the AI product analytics platform that captures every click, prompt, tool call, and AI-generated response — so product teams can measure feature adoption, retention, and conversion across both classic and AI-powered surfaces in one unified view.

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Measure AI feature adoption alongside classic events
Funnels, retention, cohorts on prompts and tool calls
Tie AI behavior to revenue and activation
Natural-language queries — no SQL required
AI-generated PRDs from real product signal
Free up to 1M events/month

What is AI product analytics?

AI product analytics is the practice of measuring how users interact with AI-powered features inside a product — including prompts, agent responses, tool calls, and downstream outcomes. Where traditional product analytics stops at click events, AI product analytics treats the AI interaction itself as a first-class object that can be funneled, retained, segmented, and tied to revenue.

For AI-native teams, this matters because the most important moments in your product — the prompt a user submits, the agent that runs, the tool calls in between, and the answer they accept — are completely invisible to event-only analytics tools. Without AI product analytics, you can see that a user opened a feature but not whether the AI actually worked, whether they tried again, or whether the answer drove the next action.

Trodo provides the AI product analytics layer purpose-built for AI-native applications: it captures the entire AI interaction (prompt → agent plan → tool calls → response → user action), evaluates outcomes, and exposes them in the same funnels, cohorts, and retention curves a product team already uses.

What you get with Trodo

AI feature adoption
See exactly which AI features are used, by whom, and how often. Cohort users by AI activity to understand activation, habit formation, and retention impact.
Prompt-level funnels
Treat prompts and tool calls as events. Build funnels from "user opens feature → prompt → successful response → next action" without writing SQL.
Outcome attribution
Connect AI-feature usage to revenue, retention, and conversion outcomes. Stop guessing whether AI features actually move the needle.
Unified product + AI data
One layer for classic product events and AI interactions. No more stitching together Mixpanel + LangSmith + a homemade pipeline.
AI-generated PRDs
Trodo turns product analytics signal into prioritized recommendations and AI-generated PRDs — so you ship the next thing faster.
Built-in agent observability
When something breaks in production, drill from a metric into the actual agent trace, prompt, and tool call that caused it.

AI product analytics vs traditional product analytics

Capability	Trodo	Traditional analytics
Click & event tracking	Yes	Yes
Prompt as a first-class event	Yes	No
Tool-call analytics	Yes	No
Agent execution traces	Yes	No
AI feature adoption metrics	Yes	Custom-built only
Plain-English queries	Yes	No
AI-generated PRDs	Yes	No
Built for AI-native products	Yes	No

Frequently asked questions

What is AI product analytics?: AI product analytics is the practice of measuring how users interact with AI-powered features inside a product — including prompts, agent responses, tool calls, and downstream outcomes. Unlike traditional product analytics, AI product analytics ties model behavior, agent execution, and user experience together so teams can answer questions like which AI feature drives retention or which prompts produce successful outcomes.
How is AI product analytics different from traditional product analytics?: Traditional product analytics tools (Mixpanel, Amplitude, GA4) were built for click-stream events. They track button clicks and page views but cannot natively measure prompts, tool calls, agent traces, or AI outputs. AI product analytics is purpose-built for AI-native products: it captures the full AI interaction, evaluates the outcome, and ties it to the same funnels, retention, and revenue metrics that a product team already cares about.
What metrics should I measure with AI product analytics?: Core AI product analytics metrics include: AI feature adoption rate, prompt success rate, average session AI usage, tool-call success rate, agent task completion rate, AI-driven retention curves, AI feature contribution to activation, satisfaction signals on AI responses, and revenue per AI-active user. Trodo tracks these out of the box.
Can Trodo replace Mixpanel or Amplitude?: Yes, for AI-native teams Trodo replaces traditional product analytics with a unified AI product analytics layer that natively understands prompts, tool calls, and agent traces alongside classic events. Many teams move to Trodo specifically because traditional tools cannot represent AI workflows without expensive custom event modeling.
How fast can I get AI product analytics running?: Most teams ship the Trodo SDK in under an afternoon. Drop in the snippet, identify users, and Trodo automatically captures product events plus any AI agent traces from supported frameworks. Free tier covers up to 1M events/month so you can prove value before scaling.

Ship AI features with confidence.

Get the AI product analytics layer built for AI-native teams. Free up to 1M events/month.

Start free →Book a demo

The AI Product Analytics Platform for AI-Native Teams

What is AI product analytics?

What you get with Trodo

AI feature adoption

Prompt-level funnels

Outcome attribution

Unified product + AI data

AI-generated PRDs

Built-in agent observability

AI product analytics vs traditional product analytics

Frequently asked questions

Read more on the Trodo blog

Ship AI features with confidence.