
Product experience and analytics platform for data-driven software teams
Pendo is a comprehensive product experience platform that helps software companies understand how users interact with their applications. It combines product analytics, in-app guidance, session replays, and user feedback into a single platform, enabling product teams to make data-driven decisions about feature development and user experience improvements. The platform automatically captures user interactions without requiring manual event tagging, giving teams immediate visibility into feature adoption, user journeys, and engagement patterns. Pendo's AI-powered analytics surface actionable insights and recommended next steps, helping teams identify friction points and optimize conversion funnels. Beyond analytics, Pendo offers in-app guides for user onboarding and feature announcements, NPS surveys for sentiment tracking, and product roadmapping tools for aligning teams around priorities. With support for both web and mobile applications, Pendo serves as a central hub for understanding and improving the entire product experience.
Captures clicks, pageviews, and user engagement metrics automatically without manual instrumentation or code changes, providing instant visibility into product usage.
Video playbacks of real user sessions that reveal usage patterns, workflow bottlenecks, and unexpected behaviors to help teams diagnose UX issues.
Create targeted walkthroughs, tooltips, and announcements to onboard new users, highlight features, and drive adoption without deploying code.
Track feature adoption, user paths, retention, and conversion funnels with custom dashboards and AI-powered trend analysis.
Run in-app NPS surveys with AI-powered sentiment analysis and collect structured feedback through Pendo Listen to close the customer feedback loop.
A composite metric combining feature adoption, stickiness, and growth into a single score to benchmark and track overall product health.
Track feature adoption and user journeys to identify what drives activation and retention, then use in-app guides to nudge users toward high-value actions.
Build targeted onboarding walkthroughs and measure their impact on activation rates, iterating based on funnel analytics and session replays.
Combine usage analytics with user feedback and NPS data to make evidence-based decisions about which features to build, improve, or retire.
Monitor how employees adopt internal tools and enterprise software, using in-app guidance to reduce support tickets and improve training outcomes.
Run custom queries across your product data to answer ad-hoc questions, build reports, and uncover insights beyond standard dashboards.
Visual roadmap tools that connect user feedback and analytics data to planned features, helping teams align stakeholders around product strategy.

Session replay, error tracking, and product analytics for frontend teams