Pendo, the world's first software experience management platform, has announced the general availability of Agent Analytics. This expansion provides the only market solution for measuring AI agent performance, usage, and business impact across enterprises, now available free to get started, enabling customers to build and deploy successful agents with data-driven insights.
Quick Intel
Addressing the Gap in AI Agent Measurement
Organizations are rapidly launching AI agents but often rely on limited feedback like thumbs-up/down ratings. Agent Analytics provides comprehensive post-launch monitoring, revealing real-world interactions, friction points, and value delivery beyond pre-launch evaluations.
Todd Olson, CEO and co-founder of Pendo, emphasized the need: "Companies are launching agents faster than ever, but they're relying on a simple thumbs-up or thumbs-down to gauge their success which is insufficient," said Todd Olson, CEO and co-founder of Pendo. "Agent Analytics fills that gap, giving teams a reliable way to monitor usage, detect friction, and improve the user experience, ensuring their investment in AI delivers meaningful business value."
Pushpay's Early Success with Agent Analytics
Pushpay, a leading provider of payments and engagement solutions for over 14,000 mission-driven organizations, used Agent Analytics during beta testing of its conversational AI search agent for querying membership and donation data via natural language.
Paul Frank, staff product manager at Pushpay, shared the impact: "We started noticing users were prompting only three or four times, then quitting. Agent Analytics made that pattern obvious, so we could pinpoint and target exactly where users were getting stuck. Now we can get them past that drop-off point and into real value," said Paul Frank, staff product manager at Pushpay. "Every day we're learning something new with AI. Agent Analytics helps us understand what our customers want to know—which has informed how we prioritize prompt inferences, fine-tuning, filter enhancements, and experience redesigns based on real usage, not assumptions."
Core Capabilities for Agent Optimization
Agent Analytics delivers production insights into agent performance within actual workflows, supported by enterprise-grade governance:
Tracking hybrid workflows across agents and traditional software, including visual replays of user sessions.
Analyzing conversations for prompt themes and use cases, measuring optimization effectiveness.
Identifying rage prompts for frustration signals and off-script behavior like hallucinations or non-responses.
Embedding in-agent guidance, surveys, and feedback capture.
Mapping agent activity to task completion and platform engagement for ROI assessment.
This solution empowers teams to iterate agents based on real usage, enhancing productivity, trust, and business outcomes.
Pendo's Agent Analytics sets a new standard for managing AI agents as part of the software experience, ensuring investments translate into measurable improvements.
About Pendo
At Pendo, we're on a mission to improve the world's experience with software. Thousands of global companies use Pendo to provide better software experiences for one billion people every month. Our integrated Software Experience Management (SXM) platform manages the entire enterprise software asset: customer- and employee-facing applications; desktop and mobile platforms; and SaaS, AI, and agentic software.
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