Go beyond tracking clicks with Whatfix Product Analytics. Watch journeys unfold in real-time, uncover adoption challenges, and use AI agents to reveal hidden patterns, explain friction, and guide your next best move to improve application adoption and accelerate outcomes.
Whatfix Product Analytics goes beyond traditional dashboards by analyzing every user journey to reveal the ‘why’ behind the data. Pinpoint friction, fix issues faster, and deliver targeted in-app experiences that boost adoption and retention.
Analyze user paths to understand successful journeys and drop-off points. Autocapture every user interaction without engineering resources. Build conversion funnels in seconds to measure and improve key workflows for user growth. Use the Insights Agent to connect data patterns to business goals.
Turn replays into insights that reduce drop-offs, accelerate onboarding, and boost conversions. Our authoring agent autocaptures every user action, giving you full visual context to diagnose issues and improve experiences.
Our Insights Agent analyzes user behavior and application events in real time, delivering clear explanations and tailored recommendations so your team can move faster, smarter, and with confidence.
Create dynamic user segments based on behavior as it happens. Our Guidance Agents deliver role-based in-app guidance to contextualize onboarding or proactively engage at-risk users to accelerate time-to-value, improve retention, and enable users.
Extract insights from qualitative responses with ease through AI-powered survey analysis.
Go beyond static dashboards and uncover answers in plain language. Whatfix AI, with its Authoring, Insights, and Guidance Agents, acts as your dedicated analyst to:
Uncover root causes of user issues with auto-generated insights, reports, and visualizations.
Reveal the reasons behind friction and drop-offs across user journeys.
Deliver a clear, prioritized action plan to drive application growth.
See why Fortune 1000 companies choose Whatfix as their application analytics partner
Automatically track user behavior and set up custom actions to track without engineering dependencies, empowering application owners.
Track user behavior and watch session replays to identify why friction occurs, and then target those pain points with contextual in-app guidance, all within a unified platform.
Go beyond simple user behavior with session analytics to capture detailed metrics to benchmark engagement, identify power users, and monitor application usage.
Maximize your technology with real-time understanding of user behavior and engagement across your enterprise software and custom applications.
Stephanie Dull, Marriott International
Leela Krishna Chilamkurthy, Microsoft
Mark Zeedzen, P2P Training Lead
Katie Travis-Noeske, Sr. Manager of Sales Enablement
Security & Compliance
As an enterprise technology provider, we must stay aware of regulatory requirements for data. Whatfix’s compliance team ensures our data handling practices meet these requirements.
Product analytics software tracks and analyzes how users interact with digital products or enterprise applications. It captures behavioral data, such as clicks, page views, feature usage, and task completion, to uncover how users navigate and where they encounter friction. These insights help product managers, IT teams, and business leaders understand adoption trends, measure engagement, and identify areas for optimization. In an enterprise context, product analytics supports data-driven decisions that improve user experience, increase productivity, and accelerate ROI on technology investments.
Unlike generic analytics platforms that focus on clicks and page views, Whatfix Product Analytics captures behavioral and process-level insights within enterprise software. It connects usage data to business outcomes and adoption goals, giving IT, L&D, and operations leaders actionable intelligence on where users struggle and how to improve adoption.
Whatfix Product Analytics’ AI Insight Agent proactively surfaces patterns and performance trends across applications—without requiring manual data analysis. It automatically identifies friction points, such as workflow drop-offs, underused features, or confusing steps that slow users down. The system then translates these insights into recommended actions, suggesting how teams can resolve trouble spots through targeted in-app guidance, UI/UX improvements, or process adjustments. This turns analytics into a closed feedback loop: AI pinpoints where users struggle, and Whatfix enables teams to immediately design in-app solutions that drive smoother, more intuitive experiences across enterprise software.
The platform captures anonymized, event-level data such as task initiation and completion rates, feature usage frequency, drop-off points, time spent per workflow, and any custom event. It can also surface friction patterns and engagement metrics for Whatfix in-app content like Flows, Smart Tips, and Pop-Ups.
What Product Analytics is used for different use cases across enterprise teams, including:
Whatfix Product Analytics measures software usage by capturing real-time behavioral data within enterprise applications. It tracks how employees navigate through workflows, which features they use, how often they complete tasks, and where they encounter friction or abandon processes.
This data is aggregated into adoption metrics such as completion rates, frequency of feature usage, time-to-proficiency, and engagement with in-app guidance like Flows, Smart Tips, and Self Help. Teams can segment insights by department, role, or geography to pinpoint adoption gaps and training needs.
By connecting user behavior to business outcomes, Whatfix Product Analytics enables organizations to see how effectively employees are adopting software, identify where support is needed, and quantify the ROI of their digital transformation efforts.
Product Analytics works natively with the Whatfix DAP. Data from in-app experiences—like Flows, Smart Tips, and Self Help—is combined with behavioral usage metrics to create a closed feedback loop. This allows teams to diagnose friction, deploy targeted in-app interventions, and measure their impact—all within a single platform.
Whatfix Product Analytics provides visibility into how users interact with your software applications at a behavioral level. It captures clickstream data, feature usage, session paths, and engagement metrics across your tech stack to help product owners, IT teams, and business leaders understand adoption patterns, identify friction points, and measure ROI from application investments. It answers questions like Which workflows are underused? and Where do users drop off in key processes?
Whatfix DAP’s Guidance Analytics, on the other hand, focuses specifically on the performance of in-app experiences created through Whatfix—such as Flows, Smart Tips, Pop-Ups, and Task Lists. These analytics show how users engage with in-app guidance, completion rates for walkthroughs, search behavior in Self Help, and the overall effectiveness of your enablement content.
In short, Product Analytics tracks what users do in your application, while Guidance Analytics measures how effectively Whatfix content drives those user actions. Together, they deliver a complete view of user behavior and enablement impact across enterprise software.
