Functional Requirements
This document outlines the focused and prioritized functional requirements for GripDay, an open-core B2B marketing automation platform built with microservices architecture. These requirements are organized by priority to support rapid MVP delivery while maintaining architectural flexibility for future scaling.
🎯 MVP Requirements (Phase 1 - Critical Path)
MVP-1: Contact & Account Management (CRITICAL)
Priority: 🔥 CRITICAL - Foundation Service
Epic: Contact Management Microservice
Business Value: Core B2B relationship management
User Story: As a B2B marketer, I want to manage contacts and their associated companies, so that I can track leads through complex B2B sales cycles.
Acceptance Criteria
- WHEN creating contacts THEN the system SHALL store essential contact information (name, email, phone, company) with tenant isolation
- WHEN managing companies THEN the system SHALL support company profiles with multiple associated contacts and custom fields
- WHEN importing contacts THEN the system SHALL support CSV import with validation, error handling, and duplicate detection
- WHEN viewing contacts THEN the system SHALL provide searchable contact list with advanced filtering and Elasticsearch integration
- WHEN tracking activities THEN the system SHALL record contact interactions via Kafka events (email opens, clicks, form submissions)
- WHEN managing relationships THEN the system SHALL support contact-to-company associations with primary company logic
- WHEN handling data THEN the system SHALL implement tenant-aware data isolation with PostgreSQL per tenant
Technical Implementation:
- Contact Management Microservice with Spring Boot 3
- PostgreSQL database with CloudNativePG operator
- Kafka event publishing for activity tracking
- Elasticsearch integration for advanced search
- REST APIs with OpenAPI documentation
API Endpoints:
GET /api/v1/contacts - List contacts with filtering
POST /api/v1/contacts - Create contact
GET /api/v1/contacts/{id} - Get contact details
PUT /api/v1/contacts/{id} - Update contact
DELETE /api/v1/contacts/{id} - Delete contact
POST /api/v1/contacts/import - Bulk import contacts
GET /api/v1/contacts/export - Export contacts
GET /api/v1/contacts/search - Advanced search
POST /api/v1/contacts/segments - Create segment
GET /api/v1/contacts/segments - List segmentsMVP-2: Email Marketing (CRITICAL)
Priority: 🔥 CRITICAL - Core Communication
Epic: Email Marketing Microservice
Business Value: Essential marketing communication
User Story: As a marketer, I want to create and send email campaigns, so that I can nurture leads and communicate with prospects.
Acceptance Criteria
- WHEN creating emails THEN the system SHALL provide email editor with HTML templates and responsive design
- WHEN sending emails THEN the system SHALL support immediate and scheduled delivery via multiple SMTP providers
- WHEN tracking emails THEN the system SHALL record opens, clicks, bounces, and unsubscribes with comprehensive analytics
- WHEN personalizing emails THEN the system SHALL support token replacement and dynamic content based on contact data
- WHEN managing lists THEN the system SHALL support segment-based targeting with dynamic filtering
- WHEN processing delivery THEN the system SHALL use Kafka queues for reliable email processing and retry mechanisms
- WHEN handling bounces THEN the system SHALL integrate with IMAP for bounce processing and list hygiene
Technical Implementation:
- Email Marketing Microservice with Spring Boot 3
- Multi-provider SMTP integration (SendGrid, Mailjet, Amazon SES)
- Kafka-based email queue processing
- Comprehensive tracking with Redis caching
- Template engine with personalization
API Endpoints:
GET /api/v1/emails/templates - List email templates
POST /api/v1/emails/templates - Create template
GET /api/v1/emails/templates/{id} - Get template
PUT /api/v1/emails/templates/{id} - Update template
POST /api/v1/emails/send - Send email
POST /api/v1/emails/campaigns - Create campaign
GET /api/v1/emails/campaigns - List campaigns
GET /api/v1/emails/tracking/{id} - Email tracking dataMVP-3: Campaign Automation (CRITICAL)
Priority: 🔥 CRITICAL - Automation Engine
Epic: Campaign Automation Microservice
Business Value: Marketing workflow automation
User Story: As a marketing automation specialist, I want to create sophisticated campaign workflows, so that I can automate complex marketing processes and lead nurturing.
Acceptance Criteria
- WHEN building campaigns THEN the system SHALL provide workflow builder with drag-and-drop functionality
- WHEN executing campaigns THEN the system SHALL support email sequences, delays, and conditional logic
- WHEN triggering campaigns THEN the system SHALL support form submission, email behavior, and time-based triggers
- WHEN managing workflows THEN the system SHALL support complex branching with if/then conditions
- WHEN monitoring campaigns THEN the system SHALL provide real-time performance metrics and contact flow tracking
- WHEN processing events THEN the system SHALL use Kafka for event-driven campaign execution
- WHEN scaling execution THEN the system SHALL support parallel processing with horizontal scaling
Technical Implementation:
- Campaign Automation Microservice with workflow engine
- Kafka event processing for real-time triggers
- Redis for campaign state management
- Workflow execution with step-by-step processing
- Campaign analytics and performance tracking
API Endpoints:
GET /api/v1/campaigns - List campaigns
POST /api/v1/campaigns - Create campaign
GET /api/v1/campaigns/{id} - Get campaign details
PUT /api/v1/campaigns/{id} - Update campaign
DELETE /api/v1/campaigns/{id} - Delete campaign
POST /api/v1/campaigns/{id}/start - Start campaign
POST /api/v1/campaigns/{id}/stop - Stop campaign
GET /api/v1/campaigns/{id}/stats - Campaign statisticsMVP-4: Form Builder (CRITICAL)
Priority: 🔥 CRITICAL - Lead Capture
Epic: Form Builder Microservice
Business Value: Lead generation and data collection
User Story: As a web developer, I want to create sophisticated lead capture forms, so that I can generate leads from various sources and integrate with websites.
Acceptance Criteria
- WHEN creating forms THEN the system SHALL provide form builder with 15+ field types (text, email, select, checkbox, etc.)
- WHEN embedding forms THEN the system SHALL support JavaScript, iframe, and HTML embedding methods
- WHEN submitting forms THEN the system SHALL validate data, process submissions, and create/update contacts
- WHEN implementing progressive profiling THEN the system SHALL hide known fields and show new fields based on contact data
- WHEN processing submissions THEN the system SHALL trigger campaign enrollment and send notifications
- WHEN tracking performance THEN the system SHALL provide form analytics, conversion rates, and submission tracking
- WHEN handling security THEN the system SHALL implement CAPTCHA, honeypot protection, and CSRF validation
Technical Implementation:
- Form Builder Microservice with Spring Boot 3
- Form rendering engine for multiple embedding methods
- Integration with Contact Management Service
- Form analytics with Elasticsearch
- Security validation and spam protection
API Endpoints:
GET /api/v1/forms - List forms
POST /api/v1/forms - Create form
GET /api/v1/forms/{id} - Get form details
PUT /api/v1/forms/{id} - Update form
DELETE /api/v1/forms/{id} - Delete form
GET /api/v1/forms/{id}/embed - Get embed code
POST /api/v1/forms/{id}/submit - Submit form
GET /api/v1/forms/{id}/stats - Form statisticsMVP-5: Lead Scoring (CRITICAL)
Priority: 🔥 CRITICAL - Qualification Engine
Epic: Scoring Microservice
Business Value: Lead prioritization and qualification
User Story: As a sales manager, I want to score leads based on their behavior and attributes, so that I can prioritize follow-up activities and focus on qualified prospects.
Acceptance Criteria
- WHEN configuring scoring THEN the system SHALL support point-based scoring rules with categories and weights
- WHEN tracking behavior THEN the system SHALL award points for email opens, clicks, form submissions, and website visits
- WHEN calculating scores THEN the system SHALL provide real-time score updates with Redis caching
- WHEN managing thresholds THEN the system SHALL support score-based campaign triggers and automated actions
- WHEN reporting scores THEN the system SHALL provide lead score distribution and analytics
- WHEN handling companies THEN the system SHALL support separate company scoring independent of contact scoring
- WHEN processing events THEN the system SHALL use Kafka events for real-time score calculation
Technical Implementation:
- Scoring Microservice with real-time calculation engine
- Kafka event processing for behavior tracking
- Redis caching for performance optimization
- Scoring rules engine with flexible configuration
- Analytics integration for score reporting
API Endpoints:
GET /api/v1/scoring/rules - List scoring rules
POST /api/v1/scoring/rules - Create scoring rule
GET /api/v1/scoring/rules/{id} - Get scoring rule
PUT /api/v1/scoring/rules/{id} - Update scoring rule
DELETE /api/v1/scoring/rules/{id} - Delete scoring rule
GET /api/v1/scoring/contacts/{id} - Get contact score
GET /api/v1/scoring/companies/{id} - Get company score
GET /api/v1/scoring/leaderboard - Score leaderboardMVP-6: Analytics & Reporting (CRITICAL)
Priority: 🔥 CRITICAL - Business Intelligence
Epic: Analytics Microservice
Business Value: Performance measurement and optimization
User Story: As a marketing manager, I want comprehensive analytics and reporting, so that I can measure campaign performance, track ROI, and optimize marketing strategies.
Acceptance Criteria
- WHEN viewing dashboards THEN the system SHALL display real-time metrics (contacts, emails sent, opens, clicks, conversions)
- WHEN analyzing campaigns THEN the system SHALL provide campaign performance reports with attribution tracking
- WHEN tracking contacts THEN the system SHALL show contact activity timelines and engagement analytics
- WHEN exporting data THEN the system SHALL support CSV, PDF, and Excel export formats
- WHEN monitoring system THEN the system SHALL provide system health metrics and performance monitoring
- WHEN calculating ROI THEN the system SHALL provide revenue attribution and conversion tracking
- WHEN aggregating data THEN the system SHALL use Kafka streams for real-time data processing
Technical Implementation:
- Analytics Microservice with data aggregation engine
- Elasticsearch for advanced analytics and search
- Real-time data processing with Kafka Streams
- Dashboard with customizable widgets
- Report generation with multiple export formats
API Endpoints:
GET /api/v1/analytics/dashboard - Dashboard metrics
GET /api/v1/analytics/campaigns - Campaign analytics
GET /api/v1/analytics/contacts - Contact analytics
GET /api/v1/analytics/emails - Email analytics
GET /api/v1/analytics/forms - Form analytics
POST /api/v1/analytics/reports - Generate report
GET /api/v1/analytics/reports/{id} - Get report
GET /api/v1/analytics/export - Export data🚀 Extended Requirements (Phase 2 - Post-MVP)
EXT-1: Advanced Segmentation
Priority: 🟡 HIGH - Enhanced Targeting
User Story: As a marketer, I want advanced segmentation capabilities, so that I can target specific groups with precision.
Key Features
- Complex filter combinations with AND/OR operators
- Dynamic segments with automatic rebuilding
- Behavioral segmentation based on activity patterns
- Company-based segmentation for account-based marketing
- Custom field integration for flexible filtering
API Endpoints
GET /api/v1/segments - List segments
POST /api/v1/segments - Create segment
GET /api/v1/segments/{id} - Get segment details
PUT /api/v1/segments/{id} - Update segment
DELETE /api/v1/segments/{id} - Delete segment
POST /api/v1/segments/{id}/rebuild - Rebuild segment
GET /api/v1/segments/{id}/contacts - Get segment contactsEXT-2: Multi-Channel Communication
Priority: 🟡 HIGH - Channel Expansion
User Story: As a multi-channel marketer, I want diverse communication channels, so that I can reach contacts through their preferred methods.
Key Features
- SMS messaging with provider integrations
- Push notifications for web and mobile
- Social media monitoring and engagement
- UTM parameter tracking and analytics
- Multi-channel preference management
API Endpoints
POST /api/v1/channels/sms/send - Send SMS
POST /api/v1/channels/push/send - Send push notification
GET /api/v1/channels/preferences - Get channel preferences
PUT /api/v1/channels/preferences - Update preferences
GET /api/v1/channels/analytics - Channel analyticsEXT-3: Advanced Analytics & Attribution
Priority: 🟡 HIGH - Business Intelligence
User Story: As a business analyst, I want advanced analytics capabilities, so that I can measure multi-touch attribution and optimize ROI.
Key Features
- Multi-touch attribution modeling
- Revenue tracking and ROI calculations
- Predictive analytics and forecasting
- Custom dashboard creation
- Advanced report scheduling and delivery
API Endpoints
GET /api/v1/analytics/attribution - Attribution analysis
GET /api/v1/analytics/revenue - Revenue analytics
GET /api/v1/analytics/predictions - Predictive analytics
POST /api/v1/analytics/dashboards - Create custom dashboard
GET /api/v1/analytics/forecasts - Forecasting dataEXT-4: Integration Ecosystem
Priority: 🟡 HIGH - Platform Connectivity
User Story: As an integration specialist, I want extensive integration capabilities, so that I can connect GripDay with other business systems.
Key Features
- CRM bidirectional sync (Salesforce, HubSpot, Pipedrive)
- Marketing tool integrations (Google Analytics, Facebook Ads)
- Webhook system for real-time data exchange
- API marketplace for third-party integrations
- Custom integration development framework
API Endpoints
GET /api/v1/integrations - List integrations
POST /api/v1/integrations - Create integration
GET /api/v1/integrations/{id} - Get integration details
PUT /api/v1/integrations/{id} - Update integration
DELETE /api/v1/integrations/{id} - Delete integration
POST /api/v1/integrations/{id}/sync - Trigger sync
GET /api/v1/integrations/{id}/logs - Integration logsEXT-5: AI-Powered Features
Priority: 🟢 MEDIUM - Intelligence Enhancement
User Story: As a marketing professional, I want AI-powered insights, so that I can optimize campaigns and improve performance automatically.
Key Features
- Predictive lead scoring with machine learning
- Content optimization recommendations
- Send time optimization
- Automated A/B testing
- Behavioral pattern recognition
API Endpoints
GET /api/v1/ai/predictions - AI predictions
POST /api/v1/ai/optimize - Optimize campaign
GET /api/v1/ai/recommendations - AI recommendations
POST /api/v1/ai/analyze - Analyze performance
GET /api/v1/ai/insights - AI insights📋 Success Criteria & Metrics
MVP Success Metrics
| Metric | Target | Measurement |
|---|---|---|
| API Response Time | < 200ms (95th percentile) | Application monitoring |
| System Uptime | 99.9% | Infrastructure monitoring |
| Email Delivery Rate | > 98% | Email service metrics |
| Form Conversion Rate | Baseline + 20% | Analytics tracking |
| Campaign Execution Time | < 5s per step | Workflow monitoring |
| Contact Import Speed | 10,000 contacts/minute | Performance testing |
Business Impact Metrics
| Metric | Target | Measurement |
|---|---|---|
| Lead Processing Time | 50% reduction | Workflow analytics |
| Campaign Setup Time | 60% reduction | User experience metrics |
| Data Quality Score | > 95% | Data validation metrics |
| User Adoption Rate | > 80% within 30 days | Usage analytics |
| Customer Satisfaction | > 4.5/5 | User feedback surveys |
🔄 Implementation Phases
Phase 1: MVP Core (Weeks 1-16)
- Weeks 1-3: Kubernetes infrastructure setup
- Weeks 4-8: Core microservices development
- Weeks 9-12: Advanced microservices
- Weeks 13-16: Analytics and frontend
Phase 2: Enhanced Features (Weeks 17-24)
- Advanced segmentation and scoring
- Multi-channel communication
- Enhanced integrations
- Advanced analytics
Phase 3: Enterprise Features (Weeks 25-32)
- AI-powered insights
- Advanced security and compliance
- Enterprise integrations
- Global deployment capabilities
📊 Technical Architecture Alignment
Microservices Architecture
- Contact Management Service: Contact and company lifecycle
- Email Marketing Service: Email creation, delivery, tracking
- Campaign Automation Service: Workflow engine and execution
- Form Builder Service: Form creation and submission processing
- Scoring Service: Lead scoring and qualification
- Analytics Service: Reporting and business intelligence
- API Gateway: Service orchestration and security
- User Service: Centralized auth and authorization
Technology Stack
- Backend: Java 21, Spring Boot 3, Spring Security 6
- Frontend: React 19, TypeScript, Mantine UI
- Database: PostgreSQL 16+ with CloudNativePG
- Messaging: Apache Kafka with Strimzi operator
- Caching: Redis 7+ for performance optimization
- Search: Elasticsearch 8+ for analytics and search
- Infrastructure: Kubernetes with Istio service mesh
- Observability: Prometheus, Grafana, Jaeger, ELK Stack
📚 Related Documentation
- Non-Functional Requirements - Performance, security, and scalability requirements
- MVP Requirements - Detailed MVP specifications
- System Design - Technical architecture overview
- Microservices Architecture - Service-level design details
This document serves as the definitive guide for functional requirements and should be referenced during all development planning, implementation, and testing activities.