🚀 Requirement Ready AI｜Requirement Reviewer

Turn incomplete requirements into specifications that can actually be built, tested, and accepted.

Stop making Engineering guess requirements, and stop discovering missing specifications only after QA begins testing.

Requirement Ready AI is designed for Product Managers, Product Owners, Business Analysts, System Analysts, QA Engineers, Developers, and software development teams.

It does more than reorganize documents.

It reviews requirements from the perspective of an experienced Product Manager, Business Analyst, System Analyst, UX Designer, and QA Lead to determine whether they are truly Ready for Development before implementation begins.

It proactively checks for:

• Requirement gaps
• Ambiguous descriptions
• Hidden assumptions
• Business Rules
• Validation Rules
• Permissions
• UI States
• API Behavior
• Exception Handling
• Edge Cases
• Business / Technical / UX / Operational Risks

When critical information is missing, it does not invent answers.

Instead, it creates Questions to Confirm, asks no more than 2 high-impact clarification questions per round, and continues analyzing everything that can already be reviewed with confidence.

🎯 What Problems Can It Help Solve?

Have you ever experienced situations like these?

• The PRD is finished, but Engineering still keeps asking what the requirement means.
• QA discovers important missing scenarios only during testing.
• Business rules or status transitions are not clearly defined.
• Permissions and validations are incomplete.
• Loading, Empty, Error, and Success states were never specified.
• API errors, timeouts, or retry behavior were not defined.
• User Stories, Acceptance Criteria, and QA Test Cases contradict one another.
• A requirement looks complete but is still not ready to implement.

Requirement Ready AI helps identify these problems before the requirement is handed over to Engineering.

✨ Supported Modes

The prototype mode generates a Prototype Specification.

It does not guarantee that an interactive HTML prototype or Figma file will be generated unless the current environment explicitly supports it.

📦 What Does Full Mode Generate?

Full mode generates every applicable deliverable:

1. Requirement Review
2. Gap Analysis
3. Business Rules
4. Validation Rules
5. Permission Matrix
6. UI Review
7. API Review
8. User Stories
9. Acceptance Criteria
10. PM Acceptance Checklist
11. QA Test Cases
12. Risk Analysis
13. Requirement Readiness Score

Sections that are genuinely not applicable to the requirement will not be filled with unnecessary content simply to complete the format.

🔍 Requirement Ready Workflow

Requirement
↓
Understand Business Goal / User Goal / Scope
↓
Information Sufficiency Check
↓
Requirement Review
↓
Gap Analysis
↓
Business Rules
↓
Validation / Permission / UI / API Review
↓
User Stories
↓
Acceptance Criteria
↓
PM Acceptance Checklist
↓
QA Test Cases
↓
Risk Analysis
↓
Requirement Readiness Score
↓
Ready / Conditionally Ready / Significant Gaps / Not Ready

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🧩 What Happens When Information Is Missing?

Requirement Ready AI does not silently fill in missing rules.

It will:

Separate Confirmed Requirements, Missing Information, Assumptions, and Recommendations
Create a Questions to Confirm section
Ask no more than 2 high-impact clarification questions per round
Avoid asking questions that have already been answered
Continue completing sections that can already be analyzed confidently
Avoid marking a requirement Ready for Development while critical gaps still exist
📝 Acceptance Criteria

Acceptance Criteria use:

Given
When
Then

Each criterion should be:

Clear
Specific
Measurable
Testable
Independent when possible
🧪 QA Test Cases

Each QA Test Case can include:

Test Scenario
Preconditions
Test Steps
Expected Result

Depending on the requirement, coverage may include:

Happy Path
Negative Cases
Boundary Conditions
Permission Validation
Exception Handling
Regression Scope
⚠️ Risk Analysis

Risks are categorized where applicable into:

Business Risks
Technical Risks
UX Risks
Operational Risks

Each relevant risk includes:

Description
Impact
Suggested Mitigation
📊 Requirement Readiness Score

The Requirement Readiness Score uses a fixed 100-point framework:

Category	Points
Business Rules	15
Functional Scope	15
Validation Rules	15
Permissions	10
UI Review	10
API Review	10
Exception Handling	15
Acceptance Criteria	10
Total	100

Readiness Levels:

90–100: Ready for Development
75–89: Conditionally Ready
50–74: Significant Gaps
0–49: Not Ready

Scores are not assigned arbitrarily.

Meaningful deductions must be explained, together with the main areas that still need improvement.

✅ Core Principles

Requirement Ready AI will not:

Invent requirements that were never provided
Present recommendations as confirmed requirements
Automatically choose one interpretation when multiple valid interpretations exist
Expand the current scope simply to make the specification look more complete
Mark a requirement Ready for Development while critical information is still missing

Useful ideas that are outside the current scope can be placed under:

Future Considerations

👥 Who Is It For?

Especially useful for:

Product Managers
Product Owners
Business Analysts
System Analysts
QA Engineers
Developers
UX/UI Designers
Tech Leads
Software development teams

You can start with a Jira ticket, JSM request, PRD, User Story, requirement draft, or even meeting notes.