Auditzy™ for Engineering Teams

Real-User Website Performance Monitoring for Engineering Teams

Monitor Core Web Vitals and real-user website performance in production. Auditzy™ helps engineering teams identify affected pages, user segments, elements, scripts, and resources; detect regressions after releases; and validate whether performance fixes improved real-world experiences.

Trusted by teams at

Schbang
DaMENSCH
Staples
Jockey
Speedo
The Pant Project
GIVA
Cityfurnish
Rentomojo
Policybazaar
Matrimony.com
CARS24
MG Motor
MG Select
Propsoch
Cricket.com
The Fragrance Shop
Production observability

Lab Tests Cannot Represent Every Production Experience

Lighthouse and synthetic tests provide valuable controlled measurements. Auditzy™ complements them with field data from actual user sessions.

01

Production Conditions Vary

Users visit through different devices, browsers, operating systems, networks, locations, and in-app browsers.

02

Aggregate Data Can Hide Recent Regressions

Broad rolling datasets can make changes affecting specific releases, routes, or cohorts harder to isolate.

03

Metrics Don’t Always Reveal Root Causes

A failing LCP, INP, or CLS value does not identify the element, script, resource, or release responsible.

04

Performance Work Competes with Priorities

Use affected-user and business-journey evidence to prioritize performance work responsibly.

Capabilities

Real User Monitoring and Core Web Vitals for Engineering Teams

Move from a production performance signal to the affected route, user segment, element, script, or resource—then prioritize engineering work and validate improvements after deployment.

01

Monitor Core Web Vitals in Production

Track LCP, INP, and CLS alongside supporting performance metrics such as FCP and TTFB across pages, routes, and user segments.

02

Diagnose Performance by Page and Element

Investigate images, scripts, components, fonts, rendering paths, and third-party resources.

03

Segment Real-User Performance

Compare page, device, browser, OS, network, location, and session context.

04

Detect Release Regressions

Compare performance around deployments, features, content changes, and third-party updates.

05

Prioritize Engineering Work

Rank issues by sessions, severity, journey importance, effort, and implementation risk.

06

Validate Performance Fixes

Use lab and real-user evidence after deployment and monitor for recurrence.

Workflow

A Production Performance Workflow for Engineers

Instrument, diagnose, fix, and validate with consistent evidence.

  1. 01

    Instrument Production Monitoring

    Add Auditzy™ RUM to supported pages and configure important routes and journeys.

  2. 02

    Establish Baselines

    Measure pages, templates, devices, browsers, and important cohorts.

  3. 03

    Detect and Diagnose

    Investigate affected metrics, routes, elements, resources, and cohorts.

  4. 04

    Implement Improvements

    Apply fixes through the engineering workflow with supporting evidence.

  5. 05

    Validate and Monitor

    Compare before-and-after data and watch for future regressions.

Cross-team collaboration

Turn Performance Alerts into Scoped Engineering Work

Give product, marketing, and SEO teams a common way to report impact while engineers retain the diagnostic detail needed to act.

Business teams contribute

  • Journey and revenue context
  • High-value page priorities
  • Audience segments affected

Engineering validates

  • Elements and resources
  • Release and route comparisons
  • Lab plus field evidence
Measurable outcomes

Prevent Website Performance Regressions Across Releases

Add real-user performance evidence to your release lifecycle so engineering teams can detect regressions, investigate affected routes and segments, and verify improvements after deployment.

01

Establish production performance baselines

02

Move from failing metrics to likely causes

03

Detect route- and segment-level regressions

04

Validate fixes with real-user data

Customer evidence

How Schbang Centralized Website Performance Monitoring Across Client Sites

Auditzy™ gave Schbang’s technical teams a shared monitoring layer for managing website speed and performance consistently across multiple client properties.

View customer stories
“Auditzy™ has become an indispensable tool for Schbang, serving as our go-to solution for all website performance and speed monitoring needs. It has streamlined the way we manage and maintain our clients' website performance under one convenient umbrella.”

Sohil Karia

Co-founder & CTO, Schbang

Related resources

Continue Exploring Auditzy™

Go deeper into the product, tools, customer evidence, and adjacent team workflows.

Engineering Teams FAQs

Engineering Teams Website Performance Questions

Practical answers about how Auditzy™ fits this team’s goals, data, and workflow.

Need a specific answer?

Book a tailored walkthrough and see how Auditzy™ fits your website, stack, and performance goals.

Talk to Sales

Auditzy™ RUM knowledge base

Everything teams ask before getting started.

5 answers

Real User Monitoring shows how website performance behaves under actual production conditions rather than only controlled test environments. It helps engineering teams identify problems affecting specific routes, devices, browsers, networks, locations, and user journeys that aggregate scores or lab tests may not reveal.

No. Lighthouse provides controlled lab testing and diagnostic recommendations for a single test environment. Auditzy™ complements it with Real User Monitoring, showing how actual visitors experience your website across production pages, devices, browsers, operating systems, networks, locations, and supported in-app browsers. Engineering teams can use Lighthouse for controlled diagnostics and Auditzy™ for continuous production evidence.

Auditzy™ monitors the Core Web Vitals—Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS)—alongside supporting metrics such as First Contentful Paint (FCP) and Time to First Byte (TTFB). Teams can analyze these metrics by page, device, browser, operating system, network, location, and other supported session dimensions.

Yesm Auditzy™ helps narrow the investigation from a failing performance metric to the affected page, user segment, element, script, component, resource, or third-party dependency. This gives engineers more precise evidence about where to investigate. Whether Auditzy™ can identify an exact code line depends on the diagnostic data and integrations available.

Yes. Engineering teams can compare real-user performance before and after releases, content updates, third-party changes, and other deployments. Auditzy™ helps identify changes in Core Web Vitals across affected pages and user segments, validate improvements, and continue monitoring for future regressions.

Debug Website Performance Issues With Real Users Experience

Give engineering production context from metric to page, segment, and likely root cause.