Measure and scale your AI agents
Your agents are answering questions. But are they solving problems? Pendo Agent Analytics is the first solution to help you:
Link AI prompts to user sentiment and outcomes like retention, conversion, or churn.
See and analyze what users ask agents, grouped by use case, segment, or role.
Spot where agents fail, remove user frustrations, and scale use cases that work.
From AI experiments to impact that scales
Don’t deploy AI agents without knowing if they deliver value or create risk
AI agents are redefining software experiences. Agent analytics shows what users ask, how conversations unfold, and whether interactions drive user success or create risk.
See which prompts lead to success—like task completion or ticket deflection—and fix those that don’t.
Surface winning prompts, fix broken flows, and guide users toward successful agent adoption.
Why we built it
Meet Kruti:
Product lead for
Agent Analytics
Get a peek into Pendo Agent Analytics and see what’s possible with the people behind the product.
Only the highest standards when it comes to protecting your data
Pendo adheres to key industry best practices and regulatory schemes to protect the security and privacy of our customers’ data: SOC2, GDPR, HIPAA, and Privacy Shield. Pendo helps enterprise organizations safeguard their customer and employee data.
Want to take Agent Analytics on a test drive?
Frequently asked questions
Agent Analytics measures how users engage with conversational AI agents. It shows what they ask, what happens next, and how those interactions impact business outcomes.
Getting started is simple. You can capture user prompts with no code by tagging the input box in your UI using Pendo’s Visual Design Studio. If you want to capture user inputs and AI outputs, developers just add a few lines of code.
Understand user intent, connect prompts to downstream outcomes, monitor compliance, benchmark workflows, and prove ROI of your AI agents.
Most agent tools stop at usage counts. Pendo links prompts to sentiment, task completion, adoption, and business impact, which is true proof of value.
Yes! Agent Analytics includes governance controls to protect sensitive inputs, enforce policies, and meet compliance standards at scale.
Yes. Agent Analytics links user prompts and AI outputs to downstream metrics like task completion, cost savings, revenue impact, and customer retention. This makes it possible to prove the business value of your AI agents, not just measure usage counts.
