Auditzy
Auditzy™ for Product Teams

Website Performance Monitoring for Product Teams

Monitor loading performance, visual stability, and interaction responsiveness across real users and critical product journeys. Auditzy™ helps product teams identify friction, prioritize performance improvements, and evaluate changes after every release.

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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
Journey intelligence

Product Metrics Don’t Explain Every Slow Experience

Product analytics tools show what users do. Auditzy™ adds real-user performance context to explain how speed, stability, and responsiveness vary throughout those journeys.

01

Aggregate Scores Hide Journey Friction

A site-wide score may not reveal slow product discovery, registration, cart, or checkout experiences.

02

Different Users Experience Different Performance

Device, browser, network, location, and page context can produce substantially different experiences.

03

Technical Backlogs Lack Business Context

Use affected-user and journey evidence to decide which performance problems deserve attention first.

04

Releases Can Introduce Hidden Regressions

A change may pass lab testing while creating slower experiences for particular users or journeys.

Capabilities

How Auditzy™ Helps Product Teams

Add performance context to discovery, adoption, engagement, and conversion journeys.

01

Map Performance Across User Journeys

Monitor acquisition, onboarding, product discovery, account creation, cart, checkout, and other important flows.

02

Compare Experience by User Segment

Analyze Core Web Vitals by device, browser, network, location, page, and supported dimensions.

03

Compare Performance with Product Outcomes

Compare performance with available engagement, feature-adoption, abandonment, and conversion events.

04

Prioritize the Product Backlog

Rank issues by affected users, journey importance, business relevance, implementation effort, and risk.

05

Evaluate Product Releases

Compare performance before and after features, design changes, campaigns, and integrations.

06

Identify Performance Issues by Page, Element, and User Segment

Move from a failing metric to the page, cohort, element, script, or resource to investigate.

Workflow

A Journey-Led Product Performance Workflow

Turn performance evidence into scoped roadmap decisions.

  1. 01

    Define Critical Journeys

    Select the pages, actions, events, and conversions that matter to the product.

  2. 02

    Establish a Performance Baseline

    Measure real-user Core Web Vitals across those journeys.

  3. 03

    Identify Friction

    Find slow pages, affected cohorts, shifts, delays, and inconsistent experiences.

  4. 04

    Prioritize with Engineering

    Translate findings into clearly scoped product and engineering work.

  5. 05

    Validate the Outcome

    Compare real-user performance and available product behavior before and after deployment to identify improvements or regressions.

Cross-team collaboration

Connect Product Roadmaps with Real-User Based Website Performance Evidence

Product teams define the journey and desired outcome; engineering teams receive precise technical context and a shared definition of success.

Product clarifies

  • Critical journeys and events
  • User and business priority
  • Expected product outcome

Engineering acts on

  • Affected pages and elements
  • Segment-level diagnostics
  • Before-and-after validation
Measurable outcomes

Make Website Performance Part of Product Decisions

Make website performance part of roadmap planning and release evaluation.

01

Understand performance across complete product journeys

02

Identify affected user segments instead of relying on averages

03

Prioritize website performance work within the product roadmap

04

Evaluate releases using before-and-after real-user data

Customer evidence

How DaMensch Made Website Performance a Product Priority

Auditzy™ continues to work with the DaMensch team on website speed monitoring, website speed vs conversion impact analysis, and optimization.

View customer stories
“Auditzy™'s expertise has significantly improved all performance metrics, leading to positive business outcomes—something we consider crucial. Their accountability and execution skills are exceptional.”

Niraj Patel

SVP Product & Tech, DaMensch

Related resources

Continue Exploring Auditzy™

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

Product Teams FAQs

Product Teams Website Performance Questions

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

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Auditzy™ RUM knowledge base

Everything teams ask before getting started.

4 answers

Product analytics tools show which actions users take and where they leave a journey. Auditzy™ adds real-user performance context—including Core Web Vitals, page speed, device, browser, network, and affected page elements. Together, these insights help product teams determine whether slow or unstable experiences are associated with friction in onboarding, discovery, checkout, or other critical user journeys.

Yes. Auditzy™ can organize supported performance and event data around journeys such as registration, onboarding, product discovery, add to cart, checkout, and feature adoption. Teams can compare performance across journey steps and identify the pages and user segments experiencing friction.

Yes. Teams can compare selected periods and releases to investigate performance improvements or regressions.

Not necessarily. Conversion rates are influenced by many factors, including the offer, pricing, traffic quality, user intent, content, usability, and website performance. A slow or unstable experience can introduce friction, but a performance improvement alone does not guarantee more conversions.

Auditzy™ helps product teams compare real-user performance with available engagement and conversion data across pages, journey steps, devices, browsers, networks, and user segments. This makes it easier to identify where slow loading, poor responsiveness, or layout shifts correlate with abandonment or lower conversion rates.

Teams can then prioritize the affected journeys, implement improvements, and compare performance and conversion behavior before and after a release. Establishing direct causation may require controlled experimentation, sufficient data, and appropriate statistical analysis.

Make Website Performance Part of Every Product Decision

Connect real-user performance with onboarding, product discovery, feature adoption, checkout, and other critical journeys. Identify friction, prioritize improvements, and evaluate releases using before-and-after evidence.

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