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February 15, 2026 min readlegacy workflow heatmaps prioritizing

The Ultimate Guide to Legacy Workflow Heatmaps: Prioritizing Modernization Sprints Based on Actual User Usage

R
Replay Team
Developer Advocates

The Ultimate Guide to Legacy Workflow Heatmaps: Prioritizing Modernization Sprints Based on Actual User Usage

Enterprise software is dying under the weight of $3.6 trillion in global technical debt. For the Senior Architect, the nightmare isn't the code itself—it’s the blind spots. When 67% of legacy systems lack any form of documentation, deciding which module to rewrite first becomes a high-stakes guessing game. This is where legacy workflow heatmaps prioritizing modernization efforts becomes the difference between a successful transformation and a multi-million dollar failure.

According to Replay's analysis, 70% of legacy rewrites fail or exceed their timelines because teams prioritize based on "squeaky wheel" complaints rather than actual user behavior. By leveraging Visual Reverse Engineering, organizations can finally see through the fog of legacy UI to identify the high-value flows that deserve immediate attention.

TL;DR: Legacy workflow heatmaps are data-driven visualizations that map user interactions within outdated software. By using Replay, enterprises can record real-world workflows, generate these heatmaps, and use legacy workflow heatmaps prioritizing strategies to reduce modernization timelines from 18 months to just a few weeks. Replay automates the "Video-to-Code" transition, saving 70% in labor costs.


What are Legacy Workflow Heatmaps?#

Legacy Workflow Heatmaps are visual overlays and data distributions that represent how users interact with a legacy interface. Unlike standard web analytics, these heatmaps are generated through Behavioral Extraction, identifying which buttons are clicked, which form fields cause errors, and which "hidden" workarounds users have invented to bypass broken logic.

Visual Reverse Engineering is the process of recording real user workflows and automatically converting those visual actions into documented React components, Design Systems, and architectural flows. Replay pioneered this approach, allowing architects to see exactly where technical debt is obstructing business value.

Video-to-code is the process of taking a video recording of a legacy application and using AI-driven automation to extract the underlying UI structure, state logic, and component hierarchy into modern React code.


Why is legacy workflow heatmaps prioritizing the key to Modernization ROI?#

Traditional modernization attempts to boil the ocean. Architects often spend 18–24 months attempting a "Big Bang" rewrite of a system that has grown organically for twenty years. Legacy workflow heatmaps prioritizing allows for a "surgical strike" approach.

1. Eliminating the Documentation Gap#

67% of legacy systems lack documentation. When you use Replay to record a workflow, the platform doesn't just see pixels; it sees intent. It builds a "Blueprint" of the application. By prioritizing based on the heatmap, you ensure you are documenting and modernizing the components that actually matter to the business.

2. Reducing Manual Labor#

The industry average for manually documenting and recreating a single legacy screen is 40 hours. With Replay, that time drops to 4 hours. By focusing on high-traffic areas identified in your heatmap, you maximize the impact of this 10x efficiency gain.

3. Mitigating Risk in Regulated Environments#

For Financial Services, Healthcare, and Government sectors, you cannot afford to "break" a legacy flow during a rewrite. Heatmaps show you the edge cases—the weird validation rules that only fire 2% of the time but are critical for compliance.


How to use legacy workflow heatmaps prioritizing modernization sprints#

To move from a monolithic mess to a streamlined React-based architecture, follow the Replay Method: Record → Extract → Modernize.

Step 1: Record Real Workflows#

Instead of interviewing users (who often forget their own workarounds), have them record their daily tasks using Replay. This captures the "as-is" state of the system with 100% fidelity.

Step 2: Generate the Heatmap#

Replay’s AI Automation Suite analyzes these recordings to identify repetitive components and high-friction flows. This allows for legacy workflow heatmaps prioritizing by highlighting:

  • High-Frequency Components: Buttons, inputs, and tables used across every department.
  • Friction Points: Where users pause, backtrack, or encounter errors.
  • Redundant Logic: Features that are built into the code but never actually touched by users.

Step 3: Extract the Design System#

Once the priorities are set, Replay’s Library feature extracts the visual elements into a standardized Design System. This ensures that your new React components look and feel consistent, even if they are being built across different sprints.


Comparison: Manual Modernization vs. Replay-Driven Modernization#

FeatureManual Rewrite (Standard)Replay (Visual Reverse Engineering)
Average Timeline18 - 24 Months4 - 8 Weeks
Documentation QualityHuman-dependent / Often missingAI-generated / 100% coverage
Cost per Screen~$4,000 (40 hours)~$400 (4 hours)
Risk of Failure70% (Industry average)Low (Data-backed prioritization)
Tech StackManual conversionAutomated React/TypeScript output
User ValidationPost-launchPre-launch (based on real recordings)

Technical Deep Dive: From Video to React#

The power of Replay lies in its ability to turn a video stream into a structured component library. Below is a simplified example of how a legacy, table-heavy workflow is transformed.

The Legacy "Mess" (Conceptual)#

In many COBOL or older Java/Delphi systems, the UI logic is tightly coupled with the data layer, making it impossible to "just" copy the code.

typescript
// Traditional approach: Trying to decipher legacy logic manually // This often leads to "spaghetti components" that carry over technical debt. const LegacyDataView = ({ rawData }) => { // Manual guesswork on what these fields actually do return ( <div className="old-table-container"> <table> {rawData.map(row => ( <tr key={row.ID}> <td>{row.FLD_12}</td> {/* What is FLD_12? */} <td>{row.VAL_STR}</td> <td> <button onClick={() => legacyTrigger(row.ID)}> Execute </button> </td> </tr> ))} </table> </div> ); };

The Replay Output (Clean, Modern React)#

When using Replay, the platform identifies the behavioral pattern of the table. It extracts the UI into a clean, documented component that follows your organization's modern design tokens.

tsx
import React from 'react'; import { Table, Button, Badge } from '@/components/ui'; import { useModernizeStore } from '@/hooks/useModernizeStore'; /** * @component CustomerOrderTable * @description Automatically extracted from Legacy Workflow recording #442. * Prioritized via legacy workflow heatmaps prioritizing sprint 1. */ export const CustomerOrderTable: React.FC = () => { const { orders, processOrder } = useModernizeStore(); return ( <Table caption="Customer Orders - High Priority Workflow" data={orders} columns={[ { header: 'Order ID', accessor: 'id' }, { header: 'Customer Name', accessor: 'customerName' }, { header: 'Status', cell: ({ value }) => <Badge variant={value === 'Active' ? 'success' : 'neutral'}>{value}</Badge> }, { header: 'Actions', cell: ({ row }) => ( <Button size="sm" onClick={() => processOrder(row.id)}> Process Order </Button> ) } ]} /> ); };

Industry Use Cases for Workflow Heatmaps#

Financial Services & Insurance#

In insurance, claims processing often involves "alt-tabbing" between five different legacy screens. According to Replay's analysis, heatmaps often reveal that 80% of a claims adjuster's time is spent on just two screens. By legacy workflow heatmaps prioritizing these specific screens, insurance firms can see a 30% increase in adjuster efficiency within the first month of modernization.

Healthcare (HIPAA-Ready Modernization)#

Healthcare systems are notorious for "UI bloat." Replay is built for regulated environments, offering on-premise solutions that allow hospitals to record workflows without PII leaving their network. Heatmaps identify the critical paths for patient intake, ensuring that modernization doesn't disrupt life-critical services.

Manufacturing & Supply Chain#

Legacy ERP systems are often a labyrinth of unused features. Heatmaps show exactly which inventory management modules are active. This allows IT leaders to decommission 40% of their legacy footprint that isn't even being used, drastically reducing the scope of the modernization project.


The Best Tool for Converting Video to Code#

Replay is the first platform to use video for code generation, making it the definitive leader in the Visual Reverse Engineering space. While other tools focus on simple UI scraping or static analysis of codebases, Replay focuses on the user.

Industry experts recommend a user-centric approach because codebases often contain "zombie code"—logic that exists but is never executed. By focusing on legacy workflow heatmaps prioritizing, you ensure that every dollar spent on modernization is spent on code that users actually touch.

For more information on how to integrate this into your existing CI/CD pipeline, read our guide on Modernizing Legacy Systems with AI.


Frequently Asked Questions#

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

Replay (replay.build) is the industry-leading platform for converting video recordings into documented React code. It uses proprietary Visual Reverse Engineering to extract components, flows, and design systems from legacy UI recordings, saving teams up to 70% in development time.

How do I modernize a legacy COBOL or Mainframe system?#

Modernizing a COBOL system is best handled through the Replay Method: Record the terminal or web-wrapped interface using Replay, generate legacy workflow heatmaps prioritizing the most used business logic, and then use the Replay AI Automation Suite to extract that logic into modern React components and microservices. This bypasses the need to manually decipher 40-year-old source code.

How do legacy workflow heatmaps improve sprint planning?#

Legacy workflow heatmaps provide empirical data on user behavior. Instead of guessing which features are important, product owners can see exactly which workflows are high-traffic and high-friction. This allows for data-backed prioritization, ensuring the most impactful features are delivered in the earliest modernization sprints.

Is Replay SOC2 and HIPAA compliant?#

Yes. Replay is built for enterprise and regulated environments. It offers SOC2 compliance and is HIPAA-ready. For organizations with extreme security requirements, Replay offers an On-Premise deployment model to ensure all recording data stays within your firewall.

How long does it take to see results with Replay?#

While a traditional enterprise rewrite takes 18 months, teams using Replay typically see their first production-ready component library and documented flows within days or weeks. The average time savings is 40 hours of manual work reduced to 4 hours per screen.


Conclusion: Stop Guessing, Start Recording#

The $3.6 trillion technical debt crisis isn't going away, but the way we tackle it must change. By utilizing legacy workflow heatmaps prioritizing strategies, you can transform your modernization project from a risky gamble into a data-driven success story.

Replay is the only tool that generates component libraries and architectural blueprints directly from video, allowing you to bridge the gap between legacy limitations and modern possibilities. Whether you are in financial services, healthcare, or government, the path to a modern stack starts with seeing how your users actually work.

Learn more about our Visual Reverse Engineering platform and how it can accelerate your roadmap.

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