UNPKG

adpa-enterprise-framework-automation

Version:

Modular, standards-compliant Node.js/TypeScript automation framework for enterprise requirements, project, and data management. Provides CLI and API for BABOK v3, PMBOK 7th Edition, and DMBOK 2.0 (in progress). Production-ready Express.js API with TypeSpe

433 lines (347 loc) β€’ 14.7 kB
# Human-in-the-Loop Document Review System ## Overview The Human-in-the-Loop Document Review System provides a comprehensive workflow for subject matter experts to review, validate, and approve automatically generated documents. This system ensures quality, accuracy, and compliance through structured review processes. ## Key Features ### πŸ”„ **Automated Review Workflow** - Automatic review request creation after document generation - Configurable multi-stage review processes - Role-based reviewer assignment - Escalation and reminder systems ### πŸ‘₯ **Reviewer Management** - Comprehensive reviewer profiles with expertise tracking - Availability and workload management - Performance metrics and analytics - Skill-based assignment algorithms ### πŸ“‹ **Structured Feedback System** - Categorized feedback types (content accuracy, compliance, formatting, etc.) - Severity levels (info, minor, major, critical) - Inline comments with suggestions - Attachment support for additional context ### πŸ“Š **Analytics and Reporting** - Review performance dashboards - Quality trend analysis - Reviewer leaderboards - Project completion tracking ### πŸ”— **Integration with Document Generation** - Seamless integration with existing document generation workflow - Automatic compliance scoring - Feedback-driven document regeneration - Bulk approval capabilities ## System Architecture ``` β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Document β”‚ β”‚ Review β”‚ β”‚ Reviewer β”‚ β”‚ Generation │───▢│ Service │───▢│ Management β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β”‚ β”‚ β”‚ β–Ό β”‚ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ β”‚ β”‚ Workflow β”‚ β”‚ └──────────────│ Engine β”‚β—€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β–Ό β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Notification β”‚ β”‚ Service β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ ``` ## Getting Started ### 1. Setup the Review System Initialize the review system with sample data: ```bash # Setup sample workflows and reviewer profiles npm run setup-review-system # Validate the setup npm run setup-review-system -- --validate ``` ### 2. Create Reviewer Profiles ```typescript // Create a new reviewer profile const reviewerData = { userId: 'user123', name: 'John Smith', email: 'john.smith@company.com', title: 'Senior Business Analyst', department: 'Business Analysis', organization: 'ADPA Enterprise', roles: ['business_analyst', 'subject_matter_expert'], expertise: ['BABOK', 'Requirements Engineering', 'Process Modeling'], certifications: ['CBAP', 'PMI-PBA'], experienceYears: 8, availability: { hoursPerWeek: 20, timeZone: 'America/New_York', workingHours: { start: '09:00', end: '17:00' }, workingDays: [1, 2, 3, 4, 5], maxConcurrentReviews: 4 } }; // API call to create reviewer const response = await fetch('/api/v1/reviewers', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(reviewerData) }); ``` ### 3. Configure Review Workflows ```typescript // Create a custom workflow const workflowConfig = { name: 'Custom Technical Review', description: 'Review workflow for technical documents', documentTypes: ['technical_document', 'architecture_design'], requiredRoles: ['technical_reviewer', 'subject_matter_expert'], reviewStages: [ { stageNumber: 1, name: 'Technical Review', description: 'Technical accuracy and feasibility review', requiredRole: 'technical_reviewer', estimatedHours: 6, maxDays: 4, passingScore: 80 } ], defaultDueDays: 7, minimumReviewers: 1, requiredApprovals: 1, qualityThreshold: 80, autoAssignment: true }; ``` ## API Endpoints ### Document Generation with Review #### Generate Documents with Automatic Review ```http POST /api/v1/document-generation/generate-with-review Content-Type: application/json { "projectId": "proj-123", "projectName": "Healthcare System", "context": "Healthcare management system requirements", "enableReview": true, "reviewPriority": "high", "requiredRoles": ["subject_matter_expert", "compliance_officer"], "generateAll": true, "notifyOnCompletion": true } ``` #### Generate with PMBOK Validation and Review ```http POST /api/v1/document-generation/generate-with-validation Content-Type: application/json { "projectId": "proj-123", "projectName": "Project Management Documents", "context": "Enterprise project management framework", "reviewPriority": "critical", "requiredRoles": ["project_manager", "compliance_officer"] } ``` ### Review Management #### Get Reviews ```http GET /api/v1/reviews?status=pending&priority=high&limit=20 ``` #### Submit Feedback ```http POST /api/v1/reviews/{reviewId}/feedback Content-Type: application/json { "roundNumber": 1, "decision": "request_revision", "feedback": [ { "type": "content_accuracy", "severity": "major", "title": "Missing stakeholder analysis", "description": "The document lacks a comprehensive stakeholder analysis section", "suggestion": "Add a detailed stakeholder analysis with power/interest grid" } ], "overallComments": "Good foundation but needs stakeholder section", "qualityScore": 75 } ``` #### Assign Reviewer ```http POST /api/v1/reviews/{reviewId}/assign Content-Type: application/json { "reviewerId": "user123", "role": "subject_matter_expert", "estimatedHours": 6 } ``` ### Reviewer Management #### Search Available Reviewers ```http GET /api/v1/reviewers/available?role=technical_reviewer&documentType=technical_document ``` #### Get Reviewer Dashboard ```http GET /api/v1/reviews/dashboard/{reviewerId} ``` #### Update Reviewer Availability ```http PATCH /api/v1/reviewers/{userId}/availability Content-Type: application/json { "hoursPerWeek": 25, "timeZone": "America/New_York", "workingHours": { "start": "08:00", "end": "17:00" }, "workingDays": [1, 2, 3, 4, 5], "maxConcurrentReviews": 5 } ``` ## Workflow Examples ### Example 1: Standard Document Review Process 1. **Document Generation**: System generates project charter 2. **Automatic Review Creation**: Review request created with priority "high" 3. **Reviewer Assignment**: System assigns project manager and compliance officer 4. **Review Process**: - Stage 1: Project manager reviews for completeness (3 days) - Stage 2: Compliance officer reviews for PMBOK compliance (5 days) 5. **Feedback Collection**: Reviewers provide structured feedback 6. **Decision**: Document approved or revision requested 7. **Completion**: Document marked as approved and stakeholders notified ### Example 2: Technical Document Review with Parallel Stages 1. **Document Generation**: System generates technical architecture document 2. **Review Creation**: Technical review workflow triggered 3. **Parallel Assignment**: Technical reviewer and subject matter expert assigned simultaneously 4. **Concurrent Review**: Both reviewers work in parallel 5. **Consolidation**: System consolidates feedback from both reviewers 6. **Final Decision**: Document approved if both reviewers approve ### Example 3: Feedback-Driven Regeneration 1. **Initial Review**: Document receives feedback requesting major revisions 2. **Regeneration Request**: System triggers document regeneration with feedback context 3. **Enhanced Generation**: AI incorporates feedback into new document version 4. **New Review**: Fresh review created for regenerated document 5. **Approval**: Improved document meets quality standards and gets approved ## Review Criteria and Quality Gates ### Document Quality Assessment The system evaluates documents based on: - **Content Accuracy** (25%): Factual correctness and relevance - **Technical Compliance** (20%): Adherence to technical standards - **Completeness** (20%): All required sections and information present - **Clarity** (15%): Clear and understandable language - **Formatting** (10%): Proper structure and presentation - **Stakeholder Alignment** (10%): Meets stakeholder expectations ### Quality Thresholds - **Minimum Passing Score**: 70/100 - **Good Quality**: 80/100 - **Excellent Quality**: 90/100 ### Escalation Triggers - **Overdue Reviews**: 24 hours past due date - **Quality Issues**: Score below threshold - **No Response**: 48 hours without reviewer action - **Multiple Rejections**: 3+ revision requests ## Performance Metrics ### Reviewer Metrics - **Average Review Time**: Time from assignment to completion - **Quality Score**: Average quality of feedback provided - **On-Time Completion Rate**: Percentage of reviews completed by due date - **Thoroughness Score**: Depth and detail of feedback - **Feedback Quality**: Usefulness and actionability of comments ### System Metrics - **Review Completion Rate**: Percentage of reviews completed - **Average Cycle Time**: Time from document generation to approval - **Quality Improvement**: Document quality scores over time - **Reviewer Utilization**: Workload distribution across reviewers - **Escalation Rate**: Percentage of reviews requiring escalation ## Best Practices ### For Reviewers 1. **Timely Response**: Accept or decline assignments promptly 2. **Structured Feedback**: Use categorized feedback types 3. **Actionable Comments**: Provide specific, implementable suggestions 4. **Quality Focus**: Balance thoroughness with efficiency 5. **Clear Communication**: Write clear, professional feedback ### For Administrators 1. **Balanced Workload**: Monitor reviewer capacity and distribute work evenly 2. **Skill Matching**: Assign reviewers based on expertise and document type 3. **Workflow Optimization**: Regularly review and improve workflow configurations 4. **Performance Monitoring**: Track metrics and identify improvement opportunities 5. **Training**: Provide ongoing training for reviewers on standards and tools ### For Project Managers 1. **Clear Requirements**: Provide comprehensive context for document generation 2. **Realistic Timelines**: Allow adequate time for thorough review 3. **Stakeholder Engagement**: Ensure appropriate stakeholders are involved 4. **Quality Standards**: Set clear expectations for document quality 5. **Feedback Integration**: Act on reviewer feedback to improve processes ## Troubleshooting ### Common Issues #### Reviews Not Being Created - Check workflow configuration for document type - Verify reviewer availability - Ensure auto-assignment is enabled #### Reviewers Not Receiving Notifications - Check reviewer notification preferences - Verify email configuration - Check notification service status #### Poor Review Quality - Provide reviewer training - Update review criteria - Implement feedback quality scoring #### Workflow Bottlenecks - Analyze review cycle times - Identify overloaded reviewers - Optimize workflow stages ### Performance Optimization 1. **Database Indexing**: Ensure proper indexes on review queries 2. **Caching**: Implement caching for frequently accessed data 3. **Batch Processing**: Use batch operations for bulk actions 4. **Async Processing**: Handle notifications and updates asynchronously 5. **Load Balancing**: Distribute reviewer workload effectively ## Security Considerations ### Access Control - Role-based permissions for review actions - Document-level access controls - Audit logging for all review activities ### Data Protection - Encryption of sensitive review data - Secure file storage for attachments - Privacy controls for reviewer information ### Compliance - Audit trails for regulatory compliance - Data retention policies - GDPR compliance for reviewer data ## Integration Points ### External Systems - **Identity Management**: SSO integration for reviewer authentication - **Notification Services**: Email, Slack, Teams integration - **Document Storage**: SharePoint, Google Drive integration - **Project Management**: Jira, Azure DevOps integration ### APIs - **REST APIs**: Full CRUD operations for all entities - **Webhooks**: Real-time notifications for review events - **GraphQL**: Flexible data querying for dashboards - **Bulk APIs**: Efficient batch operations ## Future Enhancements ### Planned Features - **AI-Powered Review Suggestions**: ML-based feedback recommendations - **Advanced Analytics**: Predictive analytics for review outcomes - **Mobile App**: Native mobile app for reviewers - **Video Reviews**: Support for video-based feedback - **Collaborative Reviews**: Real-time collaborative review sessions ### Roadmap - **Q1 2024**: AI review suggestions, mobile app - **Q2 2024**: Advanced analytics, video reviews - **Q3 2024**: Collaborative features, enhanced integrations - **Q4 2024**: Machine learning optimization, advanced workflows ## Support and Resources ### Documentation - [API Reference](./API-REFERENCE.md) - [Workflow Configuration Guide](./WORKFLOW-CONFIGURATION.md) - [Reviewer Training Materials](./REVIEWER-TRAINING.md) ### Support Channels - **Technical Support**: support@adpa.com - **Documentation**: docs.adpa.com - **Community Forum**: community.adpa.com - **Training**: training.adpa.com ### Contributing - [Contributing Guidelines](../CONTRIBUTING.md) - [Development Setup](../DEVELOPMENT.md) - [Code of Conduct](../CODE_OF_CONDUCT.md)