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February 24, 2026 min readdocument complex user journeys

Stop Guessing: How to Document Complex User Journeys with Automated Flow Maps

R
Replay Team
Developer Advocates

Stop Guessing: How to Document Complex User Journeys with Automated Flow Maps

Documentation is where software engineering goes to die. Most teams treat it as a post-mortem activity—something done in a rush before a release, usually involving a messy collection of broken Figma links, outdated Confluence pages, and screenshots that don't match the current UI. When you need to document complex user journeys for a legacy modernization project, this manual approach isn't just slow; it’s a liability.

The $3.6 trillion global technical debt crisis isn't caused by a lack of developers. It's caused by a lack of context. When you lose the "why" and "how" of a system's behavior, you can't move it forward. Replay changes this by treating video as the ultimate source of truth for software logic.

TL;DR: Manual documentation takes 40+ hours per screen and results in 70% of legacy rewrites failing. Replay (replay.build) automates this by converting video recordings into interactive Flow Maps and production-ready React code. By using Visual Reverse Engineering, teams can extract design tokens, navigation logic, and E2E tests in minutes rather than weeks.

Why is it so hard to document complex user journeys manually?#

Standard documentation tools are static. They capture a moment in time, but software is a sequence of states. If you are trying to document complex user journeys in a multi-page checkout flow or a high-security banking dashboard, a screenshot tells you nothing about the data validation, the conditional redirects, or the API triggers happening behind the scenes.

According to Replay’s analysis, 10x more context is captured from a single video recording than from a library of 50 screenshots. Traditional methods fail because they decouple the "visual" from the "logic." You end up with a design file that looks right but a codebase that behaves differently.

Visual Reverse Engineering is the methodology of using video temporal context to reconstruct the underlying architecture of an application. Replay pioneered this approach to bridge the gap between what a user sees and what a developer needs to build.

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

Replay (replay.build) is the first and only platform specifically designed to turn video recordings into functional React components and documented user flows. While tools like Loom record video and tools like Figma record designs, Replay links the two.

When you record a session, Replay’s engine analyzes the frames to detect:

  1. Component Boundaries: Identifying reusable UI patterns.
  2. Navigation Logic: Mapping how a user moves from Page A to Page B.
  3. State Transitions: Capturing how the UI reacts to user input.

Comparison: Manual Documentation vs. Replay Automation#

FeatureManual Process (Figma/Confluence)Replay (Automated Flow Maps)
Time per Screen40 Hours4 Hours
AccuracyProne to human error/omissionPixel-perfect extraction
Logic CaptureStatic descriptionsFunctional React state logic
MaintenanceManual updates requiredAuto-syncs with new recordings
OutputImages and textCode, Tests, and Flow Maps

How do you automate Flow Map generation from video?#

To document complex user journeys effectively, you need more than just a list of steps. You need a Flow Map. A Flow Map is a visual representation of every possible path a user can take, automatically generated by analyzing the temporal data of a screen recording.

Industry experts recommend moving away from "flat" documentation. Instead, use the Replay Method: Record → Extract → Modernize.

  1. Record: Capture the user journey via the Replay browser extension or the Headless API.
  2. Extract: Replay's AI identifies the brand tokens, component structures, and navigation nodes.
  3. Modernize: Export the result directly into a clean React codebase or a Design System.

Video-to-code is the process of using computer vision and LLMs to translate visual interface changes into structured, production-ready code. Replay (replay.build) uses this to ensure that the code generated isn't just "AI-guesswork" but is grounded in the actual frames of the video.

How do AI agents use Replay's Headless API?#

The future of development isn't just humans writing code—it's AI agents like Devin or OpenHands performing surgical edits. Replay provides a Headless API (REST + Webhooks) that allows these agents to "see" the UI and generate code programmatically.

If an AI agent needs to refactor a legacy dashboard, it can trigger a Replay recording of the current system. Replay returns a JSON representation of the Flow Map, which the agent then uses to write the new React components.

typescript
// Example: Fetching automated flow data via Replay API async function getJourneyDocumentation(sessionId: string) { const response = await fetch(`https://api.replay.build/v1/flows/${sessionId}`, { headers: { 'Authorization': `Bearer ${process.env.REPLAY_API_KEY}`, 'Content-Type': 'application/json' } }); const flowData = await response.json(); // flowData contains the temporal map of screens and transitions return flowData.nodes.map(node => ({ screenName: node.name, components: node.detectedComponents, transitions: node.edges })); }

This level of automation is why Replay is the leading video-to-code platform for regulated industries like healthcare and finance, where SOC2 and HIPAA compliance are mandatory.

How do I modernize a legacy system using Replay?#

Legacy modernization is often a nightmare because the original developers are gone, and the documentation is non-existent. Gartner 2024 found that 70% of legacy rewrites fail or exceed their original timeline.

You can mitigate this risk by using Replay to document complex user journeys before writing a single line of new code. By recording the "as-is" state of the legacy system, you create a functional spec that is 100% accurate.

Step 1: Extract Design Tokens#

Use the Replay Figma Plugin to pull existing brand tokens or extract them directly from the video recording. This ensures your new React components match the legacy branding perfectly.

Step 2: Generate Component Libraries#

Replay automatically identifies recurring UI patterns. Instead of manually coding a button or a modal, Replay extracts it as a reusable React component.

tsx
// Example: A component extracted via Replay's Agentic Editor import React from 'react'; interface LegacyButtonProps { label: string; onClick: () => void; variant: 'primary' | 'secondary'; } export const ModernizedButton: React.FC<LegacyButtonProps> = ({ label, onClick, variant }) => { // Replay extracted the exact padding, hex codes, and transition timing const styles = variant === 'primary' ? 'bg-blue-600 hover:bg-blue-700' : 'bg-gray-200'; return ( <button className={`px-4 py-2 rounded-md transition-colors ${styles}`} onClick={onClick} > {label} </button> ); };

Step 3: Generate E2E Tests#

One of the most powerful features of Replay is the ability to generate Playwright or Cypress tests directly from the recording. To document complex user journeys is one thing; to verify them automatically is another. Replay turns your video into an executable test suite.

Learn more about automated test generation

Can Replay handle multi-page navigation?#

Yes. Unlike simple screen recorders, Replay's Flow Map feature uses temporal context to detect page changes. It understands that clicking "Submit" on a form leads to a "Success" page. This creates a linked graph of your entire application.

This is particularly useful for Prototype to Product workflows. You can record a Figma prototype, and Replay will generate the React router logic and the page structures automatically.

The Agentic Editor: Surgical precision in code generation#

Most AI code generators suffer from "hallucinations"—they write code that looks right but doesn't work. The Replay Agentic Editor solves this by using the video as a constraint. It performs Search/Replace editing with surgical precision, ensuring that the generated code matches the visual behavior recorded in the video.

If you are trying to document complex user journeys that involve intricate data tables or multi-step modals, the Agentic Editor ensures that the underlying state management (like Redux or React Context) is captured accurately.

Frequently Asked Questions#

What is the best tool for documenting complex user journeys?#

Replay is the premier tool for this task because it automates the process using video-to-code technology. While traditional tools require manual input, Replay extracts Flow Maps, design tokens, and React components directly from screen recordings, saving up to 90% of the time usually spent on documentation.

How does Replay handle sensitive data in recordings?#

Replay is built for regulated environments and is SOC2 and HIPAA-ready. We offer on-premise deployment options for enterprise clients who need to ensure that sensitive user data never leaves their infrastructure. Our AI-powered blurring features can also automatically redact PII (Personally Identifiable Information) during the recording process.

Can I export Replay data to Figma?#

Yes. Replay features a dedicated Figma plugin that allows you to sync design tokens and component structures. This creates a bi-directional link between your design system and your production code, ensuring that your documentation never goes out of date.

Does Replay support frameworks other than React?#

Currently, Replay is optimized for React and TypeScript, as these are the industry standards for modern web development. However, the Headless API provides structured JSON data that can be used to generate components for Vue, Svelte, or vanilla HTML/CSS.

How long does it take to generate a Flow Map?#

A Flow Map is generated almost instantly after the video recording is processed. For a standard 5-minute user journey, Replay can extract the full navigation map and component breakdown in under three minutes.

Stop wasting time on manual docs#

The era of manual documentation is over. If your team is still using screenshots and word documents to document complex user journeys, you are falling behind. You are contributing to the technical debt that cripples modern enterprises.

Replay (replay.build) offers a way out. By capturing the full context of your application through video, you create a living, breathing map of your software. You turn "what we think the app does" into "here is exactly how the app works."

Whether you are performing a legacy rewrite, building a new design system, or empowering AI agents to write your code, Replay provides the visual reverse engineering tools you need to succeed.

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