What LogRocket is (in plain English)

LogRocket is an AI‑first session replay and analytics platform that shows you exactly where users get stuck, why it happens, and how to fix it. It combines pixel‑perfect replays, product analytics, error and performance monitoring, and AI‑driven insights so teams can move from “we think” to “we know.” (logrocket.com)

What you can do with it

• Watch any user session, precisely. See a faithful, pixel‑perfect playback of what the user saw, alongside console logs, network requests, and UI events, so you can reproduce and resolve issues quickly. (logrocket.com)

• Analyze behavior, not just traffic. Build funnels, paths, heatmaps, and time series to understand adoption, drop‑offs, and engagement, then jump straight from a chart to the exact sessions behind it. (logrocket.com)

• Spot issues automatically. AI flags UX struggles (like rage or dead clicks), JavaScript errors, and failing requests, and highlights the ones with the biggest business impact. (logrocket.com)

• Search and segment fast. Filter by user attributes, events, errors, URLs, and more to create cohorts you can investigate or track over time. (assets.logrocket.io)

• Cover web and mobile. SDKs support popular stacks (React, Next.js, Vue, Angular), plus React Native, iOS, Android, Flutter, and more. (assets.logrocket.io)

How the AI (Galileo) helps you move faster

• Galileo AI watches sessions for you. It “understands” flows and surfaces the most impactful user struggles and behavior patterns, so you don’t have to sift through hours of video. (blog.logrocket.com)

• Highlights and summaries. Galileo Highlights auto‑summarizes sessions (including cross‑session behavior for a single user) and links you straight to key moments. (docs.logrocket.com)

• Ask questions in natural language. With Ask Galileo, ask about what you see in a replay and get quick, contextual answers—no chart building required. (blog.logrocket.com)

• Funnel insights that explain drop‑off. Galileo samples non‑converting sessions and groups common behaviors to show why users abandon, with links to the exact evidence. (docs.logrocket.com)

Why this matters for a solid Back Office

• Faster, first‑contact resolution. Support teams open a ticket and instantly see the exact session behind it; AI summaries reduce back‑and‑forth and speed up triage. This shortens mean time to resolution and cuts escalations to engineering. (docs.logrocket.com)

• A single source of truth across teams. Product, Support, QA, and Engineering all reference the same replay, logs, and metrics, eliminating guesswork and aligning on what to fix first. (logrocket.com)

• Proactive ops, fewer fire drills. Automatic detection and alerting on severe errors, UX friction, and performance regressions help your Back Office stay ahead of incidents and meet SLAs. (logrocket.com)

• Evidence‑based prioritization. Connect quantitative analytics (funnels, paths) with qualitative context (replay) to justify roadmap decisions and communicate impact to stakeholders. (logrocket.com)

• Compliance‑friendly workflows. Built‑in redaction and data controls let you share sessions safely across the org without exposing sensitive data. (docs.logrocket.com)

Privacy, security, and data handling

• Sensitive data is protected by default. Passwords, SSNs, and credit card data aren’t captured; you can also redact or obfuscate any elements, inputs, network bodies, headers, and even parts of app state. (logrocket.com)

• Enterprise‑grade controls. Options like full‑text sanitization, view redaction (including on mobile/Flutter), and data erasure within 24 hours support stringent policies. (docs.logrocket.com)

• Compliance posture. Materials describe alignment with GDPR, CCPA, HIPAA, and FINRA so regulated teams can collaborate confidently. (logrocket.com)

Integrations that plug into your stack

• Support and ticketing. Send AI Highlights and full context into tools like Zendesk and Intercom so agents start with the details they need. (docs.logrocket.com)

• Issue management. Push sessions to Jira, Linear, Trello, or GitHub and track ownership end‑to‑end. (docs.logrocket.com)

• Observability and APM. Connect Datadog, New Relic, Dynatrace, and AppDynamics to trace frontend issues into backend services and vice versa. (docs.logrocket.com)

• VoC and NPS. Pair feedback from Qualtrics, Medallia, and others with the exact session that drove it, creating a tight loop from signal to fix. (docs.logrocket.com)

Frontend performance and reliability insights

• Core Web Vitals and more. Track LCP, FID, CLS, TTFB, CPU/memory, network speed, long tasks, crashes, and correlate them with user impact—both at the session and aggregate levels. (logrocket.com)

• Alerting that fits your ops. Get notified via email, Slack, PagerDuty, or webhooks when metrics cross thresholds so you can act before users feel it. (logrocket.com)

Quick setup and trial

• Fast install. Add a small script or NPM package and start seeing replays and analytics within minutes, for web and mobile. (logrocket.com)

• Try it first. There’s a 14‑day free trial with access to all features, plus demos for larger teams evaluating enterprise rollouts. (logrocket.com)

Bottom line

If you want your Back Office to run on facts instead of hunches, LogRocket gives you shared visibility, AI‑assisted triage, and privacy‑safe context in one place. You’ll spend less time diagnosing and more time delivering fixes and features that move the business forward. (logrocket.com)