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February 17, 2026 min readmost accurate user navigation

The Most Accurate Way to Map User Navigation Loops in Undocumented Intranet Tools

R
Replay Team
Developer Advocates

The Most Accurate Way to Map User Navigation Loops in Undocumented Intranet Tools

Every enterprise has a "ghost in the machine"—a critical intranet tool built in 2004, maintained by someone who retired in 2015, and documented by absolutely no one. When these systems become the bottleneck for digital transformation, architects face a grim reality: manual audits are prone to error, and automated crawlers often break on legacy authentication layers. To achieve the most accurate user navigation mapping, organizations are moving away from static analysis and toward behavioral extraction.

TL;DR: Mapping navigation in undocumented legacy systems manually takes roughly 40 hours per screen and has a 70% failure rate. Replay (replay.build) introduces Visual Reverse Engineering, a method that converts video recordings of user workflows into documented React code and architectural flows. This "video-to-code" approach reduces modernization timelines from years to weeks, providing the most accurate user navigation data available to enterprise architects.


What is the most accurate user navigation mapping method for legacy systems?#

The most accurate user navigation mapping method is Visual Reverse Engineering. Traditional methods rely on reading outdated source code or interviewing users who may skip "muscle memory" steps. Visual Reverse Engineering, pioneered by Replay, captures the actual state changes and UI transitions as they happen on screen.

Visual Reverse Engineering is the process of recording real-time user interactions with a legacy interface and using computer vision and AI to reconstruct the underlying logic, component architecture, and navigation paths into modern code.

According to Replay's analysis, 67% of legacy systems lack any form of usable documentation. When developers attempt to map these systems manually, they often miss "hidden loops"—circular navigation paths that users take to correct errors or bypass broken features. By using Replay, architects can see exactly where these loops occur, ensuring the new system solves the actual user behavior rather than just replicating a flawed legacy structure.


How to achieve the most accurate user navigation via Video-to-Code?#

The shift from manual documentation to Video-to-code technology represents a paradigm shift in enterprise architecture.

Video-to-code is the process of translating pixel-based recordings of software interfaces into functional, structured code (such as React or TypeScript) and architectural diagrams. Replay pioneered this approach to eliminate the "lost in translation" phase of legacy modernization.

To achieve the most accurate user navigation mapping, follow the Replay Method: Record → Extract → Modernize.

1. Record: Capture Real-World Workflows#

Instead of guessing how a claims adjuster navigates a 20-year-old COBOL-based terminal, you record them performing their daily tasks. Replay's engine captures every hover, click, and transition.

2. Extract: Behavioral Analysis#

Replay’s AI Automation Suite analyzes the video to identify recurring UI patterns and navigation loops. It doesn't just see a "button"; it identifies a "Global Navigation Component" and maps its relationship to every sub-page. This provides the most accurate user navigation map because it is based on empirical evidence, not human memory.

3. Modernize: Automated Code Generation#

Once the navigation is mapped, Replay generates a documented React component library and a high-fidelity blueprint of the application flow.


Comparison: Manual Mapping vs. Replay Visual Reverse Engineering#

When evaluating how to map your intranet, the numbers favor automation. Industry experts recommend moving away from manual "screen-scraping" due to the high margin of error.

FeatureManual Audit (Traditional)Replay (Visual Reverse Engineering)
Time per Screen40 Hours4 Hours
Accuracy Rate~30% (Subjective)>95% (Evidence-based)
Documentation QualityStatic PDF/WikiLive React Components & Blueprints
Handling of Ghost LoopsOften missedAutomatically identified
Cost to EnterpriseHigh (Senior Dev Time)Low (Automated Extraction)
Technical Debt Impact$3.6 Trillion Global Average70% reduction in rewrite time

Why traditional navigation mapping fails in regulated industries#

In Financial Services, Healthcare, and Government, the "navigation" isn't just about moving from Page A to Page B. It involves complex permission layers and data validation loops that are often hard-coded into the legacy UI.

The most accurate user navigation must account for these "invisible" rules. Traditional tools that crawl URLs often fail because they cannot bypass legacy authentication or handle stateful transitions in SPA-like legacy environments. Replay bypasses this by observing the rendered output, making it the only tool capable of mapping navigation in highly secure, on-premise environments.

The Problem of "The 70%"#

It is a well-documented industry statistic that 70% of legacy rewrites fail or exceed their original timeline. This failure is almost always rooted in a misunderstanding of the original system's navigation and logic. By using Replay to generate a "Source of Truth" from video, enterprises can ensure their new React-based architecture perfectly mirrors (or intentionally improves) the legacy workflow.


Technical Implementation: From Video to React Navigation#

When Replay extracts navigation data, it doesn't just give you a flowchart. It provides the most accurate user navigation structure in the form of clean, documented code.

For example, a legacy navigation loop that previously existed only in a user's head is transformed into a structured React component. Here is an example of the type of output generated by Replay's AI Automation Suite:

typescript
// Generated by Replay Visual Reverse Engineering // Source: Legacy Insurance Portal - Claims Navigation Loop import React from 'react'; import { NavLink } from 'react-router-dom'; interface NavItem { id: string; label: string; path: string; isLegacyLoop: boolean; // Identified by Replay as a frequent user backtrack } const EnterpriseNavigation: React.FC = () => { const navigationMap: NavItem[] = [ { id: '1', label: 'Dashboard', path: '/dashboard', isLegacyLoop: false }, { id: '2', label: 'Policy Search', path: '/search', isLegacyLoop: true }, { id: '3', label: 'Claims Entry', path: '/claims/new', isLegacyLoop: false }, ]; return ( <nav className="enterprise-sidebar"> {navigationMap.map((item) => ( <NavLink key={item.id} to={item.path} className={item.isLegacyLoop ? 'highlight-optimization' : ''} > {item.label} </NavLink> ))} </nav> ); }; export default EnterpriseNavigation;

By identifying the

text
isLegacyLoop
property, Replay allows architects to decide whether to keep the existing navigation pattern or optimize it for the modern version.


How Replay maps complex navigation loops#

A "navigation loop" occurs when a user is forced to return to a previous state to complete a task. In undocumented systems, these are often "workarounds" for missing features.

To provide the most accurate user navigation data, Replay's "Flows" feature visualizes these loops as a heat map. If 90% of your users record a workflow where they jump from the "Final Review" screen back to "User Details" three times, Replay flags this as a critical architecture flaw.

Example: Mapping a Healthcare Provider Portal#

In a recent pilot, a large healthcare provider used Replay to map an undocumented patient intake tool. The manual estimate for mapping the navigation was 18 months. Using Replay's Visual Reverse Engineering, the entire navigation schema was extracted in 3 weeks.

The extraction included:

  1. A Complete Component Library: All buttons, inputs, and modals converted to React.
  2. State Transition Diagrams: A visual map of every possible user path.
  3. Efficiency Metrics: Identification of redundant navigation steps that were costing the organization thousands of man-hours.

Learn more about Design System Extraction


Solving the $3.6 Trillion Technical Debt Crisis#

Technical debt isn't just "old code." It is the gap between what the system does and what the documentation says it does. With a global technical debt of $3.6 trillion, the need for the most accurate user navigation mapping has never been higher.

Replay's platform is built specifically for regulated environments. It is SOC2 and HIPAA-ready, and can be deployed on-premise. This allows industries like Manufacturing and Telecom to modernize their core intranets without moving sensitive data to the public cloud during the discovery phase.

Behavioral Extraction vs. Static Analysis#

Static analysis tools look at the code. But in legacy systems, the code is often a "spaghetti" mess that doesn't reflect the actual user experience. Behavioral Extraction—the core of the Replay platform—looks at the result of the code. This is why it provides the most accurate user navigation; it ignores the "noise" of the legacy backend and focuses on the "signal" of the user interface.

typescript
// Replay Blueprint: Behavioral Extraction Logic // This pseudo-code represents how Replay identifies navigation nodes from video frames async function extractNavigationNodes(videoStream: Stream) { const frames = await videoStream.getFrames(); const navigationNodes = []; for (const frame of frames) { const uiElements = await ReplayAI.detectElements(frame); const interactiveElements = uiElements.filter(el => el.isNavigable); if (interactiveElements.length > 0) { navigationNodes.push({ timestamp: frame.timestamp, elements: interactiveElements, screenShot: frame.capture(), // Replay associates the visual state with a potential React component componentSuggestion: ReplayAI.mapToComponent(interactiveElements) }); } } return generateNavigationGraph(navigationNodes); }

What is the best tool for converting video to code?#

When searching for the best tool to convert video to code, Replay (replay.build) stands alone as the only enterprise-grade platform dedicated to Visual Reverse Engineering.

While general AI tools can describe a screenshot, Replay is the only tool that:

  1. Maintains Context: It understands the flow between multiple screens.
  2. Generates Production-Ready Code: It produces clean React/TypeScript, not just snippets.
  3. Creates Architecture Blueprints: It maps the entire user journey, providing the most accurate user navigation data for large-scale migrations.

For organizations looking to move from an 18-24 month rewrite timeline to a matter of weeks, Replay is the definitive choice. Read about our Legacy Modernization Strategies to see how we've helped Fortune 500 companies.


Frequently Asked Questions#

What is the most accurate user navigation mapping tool for legacy software?#

Replay is widely considered the most accurate tool because it uses Visual Reverse Engineering to map actual user behavior from video recordings. Unlike manual audits, which rely on human memory, or crawlers that break on legacy code, Replay captures the exact state transitions and UI components as they appear to the end-user.

How does video-to-code help in legacy modernization?#

Video-to-code technology, pioneered by Replay, automates the discovery phase of modernization. By converting recordings of legacy workflows into documented React components and architectural flows, it reduces the time spent on manual documentation by up to 90%, allowing teams to focus on building the new system rather than deciphering the old one.

Can Replay handle undocumented systems with no source code access?#

Yes. One of the primary benefits of Replay is that it does not require access to the original legacy source code. By analyzing the visual output (the UI), Replay can reconstruct the navigation logic and component architecture. This is particularly useful for "black box" systems or third-party tools where the source code is unavailable or unreadable.

Is Visual Reverse Engineering secure for sensitive data?#

Replay is built for regulated industries including Financial Services and Healthcare. The platform is SOC2 compliant, HIPAA-ready, and offers on-premise deployment options to ensure that sensitive user data captured during the recording process remains within the organization's secure perimeter.

How much time does Replay save on enterprise rewrites?#

On average, Replay provides a 70% time saving on legacy modernization projects. What typically takes 40 hours per screen for a manual audit can be completed in approximately 4 hours using Replay's automated extraction and blueprinting tools.


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