AI Rewriting Funnel - User Stories
Epic: Intelligent Job Vacancy Transformation
Story 1: Automated Job Description Rewriting
As a consultancy administrator
I want AI to automatically rewrite job descriptions to match our consultancy's tone and requirements
So that all published vacancies align with our brand and attract suitable candidates
Acceptance Criteria:
- [ ] AI model trained on consultancy-specific language patterns
- [ ] Maintains technical requirements while improving readability
- [ ] Preserves essential information (salary, location, key skills)
- [ ] Generates engaging, consultancy-focused job titles
- [ ] Handles multiple languages (Dutch/English)
- [ ] Quality scoring for rewritten content
Story 2: Consultancy Branding Integration
As a marketing manager
I want job descriptions to automatically include our consultancy's branding and value propositions
So that candidates understand our unique offering and company culture
Acceptance Criteria:
- [ ] Automatic insertion of company benefits and culture highlights
- [ ] Consistent tone of voice across all rewritten vacancies
- [ ] Integration of consultancy's unique selling points
- [ ] Call-to-action optimization for applications
- [ ] Brand compliance checking
- [ ] Template-based customization options
Story 3: Skill Gap Analysis and Enhancement
As a talent acquisition specialist
I want the AI to identify and suggest additional relevant skills based on job requirements
So that job descriptions are comprehensive and attract better-qualified candidates
Acceptance Criteria:
- [ ] AI analyzes job requirements against skill databases
- [ ] Suggests complementary skills and technologies
- [ ] Identifies missing must-have requirements
- [ ] Skill level classification (junior, mid-level, senior)
- [ ] Industry-specific skill recommendations
- [ ] Confidence scoring for suggested skills
Story 4: Salary and Benefits Optimization
As a HR manager
I want the AI to suggest competitive salary ranges and benefits packages
So that our job postings are attractive and market-competitive
Acceptance Criteria:
- [ ] Market salary analysis based on role, location, and experience
- [ ] Benefits package suggestions relevant to the role
- [ ] Cost-of-living adjustments for different locations
- [ ] Compensation benchmarking against industry standards
- [ ] Flexible benefits customization
- [ ] ROI calculation for proposed compensation packages
Story 5: Content Quality Assurance
As a quality manager
I want automated quality checks on rewritten job descriptions
So that only high-quality, professional content is published
Acceptance Criteria:
- [ ] Grammar and spelling validation
- [ ] Readability scoring and optimization
- [ ] Bias detection and mitigation
- [ ] Compliance checking (equal opportunity, legal requirements)
- [ ] Length optimization (too short/too long warnings)
- [ ] SEO optimization for job board visibility
Story 6: A/B Testing for Job Descriptions
As a performance analyst
I want to test different versions of rewritten job descriptions
So that I can optimize for application rates and candidate quality
Acceptance Criteria:
- [ ] Generate multiple versions of the same job description
- [ ] Track performance metrics (views, applications, quality of applicants)
- [ ] Statistical significance testing
- [ ] Automatic winner selection based on performance
- [ ] Learning integration back into the AI model
- [ ] Performance reporting dashboard
Story 7: Human Review and Approval Workflow
As a hiring manager
I want to review and approve AI-rewritten job descriptions before publication
So that I maintain control over our public job postings
Acceptance Criteria:
- [ ] Web-based review interface showing original vs. rewritten content
- [ ] Side-by-side comparison with highlighted changes
- [ ] Approval/rejection workflow with comments
- [ ] Batch approval capabilities
- [ ] Revision request functionality
- [ ] Approval history and audit trail
Story 8: Learning and Model Improvement
As a AI system administrator
I want the system to learn from human feedback and successful placements
So that the AI continuously improves its rewriting quality
Acceptance Criteria:
- [ ] Feedback collection on rewritten content quality
- [ ] Success metric tracking (application rates, hire rates)
- [ ] Model retraining pipeline with human feedback
- [ ] Performance trend analysis
- [ ] A/B testing results integration
- [ ] Automated model versioning and rollback capabilities
Story 9: Multi-Channel Optimization
As a digital marketing specialist
I want job descriptions optimized for different platforms and channels
So that our vacancies perform well across all job boards and social media
Acceptance Criteria:
- [ ] Platform-specific optimization (LinkedIn, Indeed, company website)
- [ ] Character limit compliance for different platforms
- [ ] SEO keyword optimization
- [ ] Social media snippet generation
- [ ] Mobile-optimized formatting
- [ ] Platform-specific call-to-action optimization
Story 10: Compliance and Legal Validation
As a legal compliance officer
I want all rewritten job descriptions to meet legal and regulatory requirements
So that our company avoids discrimination issues and legal complications
Acceptance Criteria:
- [ ] Automated bias detection and removal
- [ ] Equal opportunity compliance checking
- [ ] GDPR compliance for data handling
- [ ] Age, gender, and disability neutral language
- [ ] Required legal disclaimers inclusion
- [ ] Regular compliance audit reports
Reacties