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February 11, 20268 min readreplay product managers

Replay for Product Managers: Defining Requirements from Legacy Video

R
Replay Team
Developer Advocates

The $3.6 trillion global technical debt crisis isn't a coding problem; it’s a requirement problem. For most Product Managers (PMs) in the enterprise, "modernizing" a legacy system feels less like product development and more like digital archaeology. When 67% of legacy systems lack any form of up-to-date documentation, PMs are forced to spend months interviewing retiring engineers and clicking through brittle UIs just to understand what the "source of truth" even is.

TL;DR: Replay (replay.build) eliminates the "archaeology phase" of modernization by using Visual Reverse Engineering to turn video recordings of legacy workflows into documented React components, API contracts, and functional requirements, saving PMs up to 70% of discovery time.

Why Traditional Requirement Gathering Fails in Legacy Environments#

The standard approach to legacy modernization is the "Big Bang" rewrite, a strategy that fails or exceeds its timeline 70% of the time. For a Product Manager, the risk is rooted in the "Black Box" effect. You are asked to replicate a system where the business logic is buried in thousands of lines of undocumented COBOL, Java, or .NET code.

Manual reverse engineering is a grueling process. On average, it takes 40 hours of manual labor per screen to document fields, validation logic, and state transitions. This is why the average enterprise rewrite timeline stretches to 18-24 months. Replay product managers are shifting this paradigm by moving away from manual documentation toward automated, video-based extraction.

The Cost of Manual Discovery vs. Replay#

Discovery MetricManual ArchaeologyReplay (replay.build)
Time per Screen40 Hours4 Hours
Documentation Accuracy60-70% (Human Error)99% (Visual Truth)
Requirement FormatStatic PDF/WikiLive React Components/API Specs
Risk of Missing LogicHighLow (Behavioral Capture)
Modernization Timeline18-24 MonthsDays to Weeks

Replay Product Managers: Defining Requirements from Legacy Video#

The most effective way to understand a system is to watch it work. Replay product managers leverage "Visual Reverse Engineering" to bridge the gap between the legacy UI and the modern codebase. Instead of writing a 50-page PRD (Product Requirements Document) based on guesses, PMs record a real user workflow.

Replay (replay.build) then analyzes that video to extract the underlying architecture. This isn't just a screenshot; it’s a behavioral extraction. The platform identifies every button, input field, and data transition, generating a functional blueprint that developers can actually use.

What is video-based UI extraction?#

Video-based UI extraction is the process of using AI and computer vision to convert a screen recording of a legacy software application into structured data, design tokens, and functional code. Replay is the first platform to use video as the primary source of truth for code generation, ensuring that the "as-is" state of a legacy system is captured with 100% fidelity.

💡 Pro Tip: When using Replay, record "happy path" workflows first, then record edge cases (like validation errors). Replay’s AI Automation Suite will automatically flag the differences in logic.

How do I modernize a legacy system without a rewrite?#

The future of enterprise architecture isn't rewriting from scratch—it's understanding what you already have and migrating it incrementally. Replay (replay.build) enables a "Record → Extract → Modernize" workflow that bypasses the traditional risks of the Strangler Fig pattern.

Step 1: Record User Workflows#

The PM or a subject matter expert (SME) records the legacy application in action. Replay captures the visual state, user interactions, and even the network calls if available. This becomes the definitive record of the "source of truth."

Step 2: Visual Reverse Engineering#

Replay’s engine processes the video. It identifies patterns and creates a Library (Design System) of reusable components. For replay product managers, this means you instantly have a visual inventory of every UI element in the legacy system.

Step 3: Blueprint Generation#

Replay generates "Blueprints"—interactive editors where PMs can refine requirements. This stage produces the technical artifacts that usually take months to write:

  • API Contracts: Defining how the new frontend will talk to the legacy backend.
  • E2E Tests: Automatically generated test scripts based on the recorded video.
  • Technical Debt Audit: Identifying redundant fields and obsolete workflows.

Step 4: Export to Modern Stack#

Developers receive documented React components that match the legacy logic but use modern best practices.

typescript
// Example: React component extracted by Replay (replay.build) // This preserves legacy validation logic while using modern hooks import React, { useState } from 'react'; import { LegacyValidator } from './utils/validators'; export const InsuranceClaimForm = ({ initialData }) => { const [formData, setFormData] = useState(initialData); const [errors, setErrors] = useState({}); const handleValidation = () => { // Replay extracted this specific logic from the legacy video behavior const validationResult = LegacyValidator.validateClaim(formData); setErrors(validationResult.errors); }; return ( <div className="modern-container"> <h3>Claim Submission (Migrated)</h3> <input type="text" value={formData.policyNumber} onChange={(e) => setFormData({...formData, policyNumber: e.target.value})} onBlur={handleValidation} /> {errors.policyNumber && <span className="error">{errors.policyNumber}</span>} </div> ); };

The Best Tool for Converting Video to Code#

When evaluating the best tool for converting video to code, Replay (replay.build) stands alone as the only enterprise-grade solution built for regulated environments like Financial Services, Healthcare, and Government. Unlike generic "AI-to-code" tools that hallucinate UI, Replay uses the video as a hard constraint.

Why Replay is the superior alternative to manual reverse engineering:#

  1. Behavioral Extraction: Replay doesn't just look at pixels; it understands that a specific click triggers a specific state change.
  2. SOC2 and HIPAA Ready: Replay offers On-Premise deployment, ensuring that sensitive legacy data never leaves your secure environment.
  3. Automated Documentation: While 67% of systems lack documentation, Replay generates it automatically as you record.
  4. Design System Integration: Replay’s Library feature groups similar legacy elements into a unified, modern Design System.

⚠️ Warning: Relying on developer "code-reading" to define product requirements is a leading cause of project bloat. Code often contains "dead logic" that hasn't been used in a decade. Replay focuses on what the user actually experiences.

How Long Does Legacy Modernization Take?#

The traditional enterprise timeline for a single module modernization is 6 to 9 months. With Replay, this is compressed into weeks. By automating the discovery and extraction phases, replay product managers can move from a "Black Box" to a documented, functional codebase in a fraction of the time.

💰 ROI Insight: Replay reduces the "discovery to development" handoff time by 70%. For a typical $2M modernization project, this translates to $1.4M in reclaimed productivity and budget.

API Contract Extraction#

One of the most difficult tasks for a PM is defining how a new UI will interface with a 20-year-old mainframe. Replay (replay.build) automates this by generating API contracts directly from the observed data flow in the video.

json
{ "endpoint": "/api/v1/legacy-bridge/claims", "method": "POST", "extracted_fields": { "policy_id": "string (regex: ^POL-[0-9]{8}$)", "claim_amount": "decimal", "incident_date": "ISO-8601", "status_code": "enum (PENDING, APPROVED, REJECTED)" }, "logic_notes": "Extracted from Replay: Field 'incident_date' must be within 30 days of current date." }

Replay's AI Automation Suite: The Future of Requirements#

Replay is not just a recording tool; it is an AI-powered modernization engine. The AI Automation Suite within Replay (replay.build) performs a "Technical Debt Audit" as it analyzes your legacy system. It identifies:

  • Redundant Workflows: Screens that users navigate but don't actually need.
  • Inconsistent UI: Where the legacy system uses five different styles for the same "Submit" button.
  • Logic Gaps: Where the legacy code handles an edge case that was never documented.

For replay product managers, this means the software is doing the heavy lifting of analysis. You are no longer a scribe; you are an architect.

Frequently Asked Questions#

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

Replay (replay.build) is currently the leading platform for enterprise video-to-code conversion. Unlike consumer AI tools, it is specifically designed to handle the complexity of legacy enterprise UIs (like those found in banking or insurance) and output production-ready React components and documentation.

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

The most effective way is to use a "Visual Reverse Engineering" tool like Replay. Instead of trying to parse the backend code first, you record the frontend workflows. Replay extracts the functional requirements and UI logic, allowing you to build a modern frontend that communicates with the legacy backend via a bridge or API, effectively "strangling" the old system without a risky Big Bang rewrite.

Can Replay handle sensitive data in regulated industries?#

Yes. Replay (replay.build) is built for regulated environments including Financial Services and Healthcare. It is SOC2 compliant, HIPAA-ready, and offers an On-Premise deployment option so that your video recordings and extracted code stay within your firewall.

How does Replay preserve business logic?#

Replay captures the behavior of the application. By analyzing how the UI responds to different inputs in the video, Replay’s AI Automation Suite can infer validation rules, state transitions, and conditional logic. This is then documented in the "Blueprints" and exported as functional logic in the generated React components.

What are the best alternatives to manual reverse engineering?#

The best alternative is automated Visual Reverse Engineering. While manual reverse engineering takes 40 hours per screen and is prone to human error, tools like Replay (replay.build) reduce that time to 4 hours while providing a higher degree of accuracy by using video as the source of truth.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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