Bluewoo HRMS

Feature Phases

CORE vs ADD-ON features - staged delivery approach

Feature Phases: CORE vs ADD-ON

This document separates features into CORE (must-have for MVP) and ADD-ON (value-add features for later). The approach enables incremental delivery of working code while maintaining the enterprise architecture vision.

Note: Features are implemented as sequential phases. See Implementation Plan for phase structure.

Philosophy: Scalable Foundations, Incremental Delivery

Key Principle: Build scalable foundations from day one, but deliver features incrementally in working stages.

  • Complete vertical slices: Each feature delivers fully working code (UI + Backend + Database)
  • Scalable patterns from start: Multi-tenancy for product needs, simple RBAC for MVP
  • No rewrites: Architecture supports future features without major refactoring
  • Always deployable: Every feature results in production-ready code
  • Add complexity when needed: Redis, BullMQ, advanced RBAC added when usage justifies

CORE Features (Months 1-4)

These are the must-have features that define an HRMS. Focus is on correctness, security, and AI-powered search as differentiator.

Note: All features are implemented as sequential phases. See Implementation Plan for phase structure.

1.1 Employee Management ✅ CORE

What: Complete employee lifecycle management

Features:

  • Employee profiles (personal info, job details, contact)
  • Organizational structure (departments, teams)
  • Manager-employee relationships
  • Basic org chart visualization
  • Employee status (active, on leave, terminated)

Why CORE:

  • Fundamental to any HRMS
  • Required for all other features (time-off, documents, etc.)
  • Multi-tenant isolation must work here first

Database:

  • Employee, Department, Team tables
  • Tenant isolation enforced via repository layer

1.2 Time-Off Tracking ✅ CORE

What: Leave request and approval system

Features:

  • Leave requests (vacation, sick, personal)
  • Approval workflow (employee → manager → approved/rejected)
  • Balance management and accruals
  • Calendar view of time-off
  • Policy enforcement (min/max days, blackout dates)

Why CORE:

  • Standard HRMS requirement
  • Demonstrates approval workflows (reusable pattern)
  • Tests RBAC system (who can approve?)

Database:

  • Leave, LeaveBalance, LeavePolicy tables
  • Status workflow: PENDING → APPROVED/REJECTED

1.3 Document Management + AI Search ✅ CORE

What: Upload HR documents with AI-powered search via RAG

Features:

  • Upload documents (PDFs, Word docs)
  • Store in Google Cloud Storage
  • Access control (company-wide, team-only, private)
  • AI-powered semantic search
  • RAG embeddings in MongoDB

Why CORE:

  • Key differentiator: AI-native search from day one
  • Proves dual database architecture (PostgreSQL + MongoDB)
  • Tests AI Service integration
  • Practical value: "What's our parental leave policy?"

Database:

  • PostgreSQL: Document table (metadata)
  • MongoDB: rag_chunks collection (embeddings)

Simplified Design:

  • ✅ 2 MongoDB collections (was 3)
  • ✅ 3 visibility levels (was 6): private, team, company
  • ❌ No hybrid search (vector-only is fine)
  • ❌ No re-ranking (future optimization)

1.4 Authentication & Multi-Tenancy ✅ CORE

What: Secure login and tenant isolation

Features:

  • Email/password authentication (Auth.js)
  • Multi-tenant data isolation
  • 3-level authorization:
    • Platform Admin (system-wide)
    • Tenant Admin (org-wide)
    • Tenant User (role-based)
  • Basic RBAC with 3 roles: Admin, Manager, Employee

Why CORE:

  • Security foundation for everything
  • Multi-tenancy must work from day one
  • RBAC structure enables ADD-ON features

Database:

  • 7 auth tables (User, Tenant, UserTenant, Role, Permission, UserRole, RolePermission)
  • Permission caching in Redis (TTL-based, added post-MVP)

1.5 Design System Setup ✅ CORE

What: Establish UI foundation before business entity development

Features:

  • Complete design system documentation
  • Configuration file specifications (Tailwind, CSS, shadcn)
  • Component patterns (stats cards, content cards, buttons)
  • AI governance rules to prevent UI drift
  • Validation checklists

Why CORE:

  • Without it, every AI agent makes different UI decisions
  • Prevents "wireframe look" with plain white cards
  • Ensures consistent dark mode support
  • Source of truth for all future UI development

Deliverables:

  • /docs/18-design-system/ documentation
  • Phase 01.5 implementation guide
  • AI agent UI constraints

1.6 Basic Analytics Dashboard ✅ CORE

What: Simple metrics for tenant admins

Features:

  • Headcount (total, active, on leave)
  • Pending approvals count
  • Recent activity (employees added, leaves requested)
  • Department breakdown

Why CORE:

  • Validates dashboard quickly
  • Shows data aggregation patterns
  • Tests caching strategy

Database:

  • Aggregation queries on existing tables
  • Cache dashboard stats (5-min TTL)

1.7 Platform Admin ✅ CORE

What: Platform Admin tenant management for SaaS operators

Features:

  • Platform Admin dashboard UI
  • Tenant CRUD API (/api/v1/admin/tenants)
  • Direct Tenant Admin assignment
  • Tenant status management (TRIAL/ACTIVE/SUSPENDED)

Why CORE:

  • Required for B2B SaaS operation
  • Enables manual tenant provisioning
  • Supports enterprise sales model

Database:

  • Existing Tenant, User tables
  • @PlatformAdminOnly() guard for SYSTEM_ADMIN role

Deliverables:

  • Platform Admin guard and controller
  • /admin/tenants UI pages
  • Assign admin flow

ADD-ON Features (Months 5-6)

These features add significant value but aren't required for basic HRMS functionality. They're strategic differentiators but more complex to build.

2.1 Team Communication Feed 🎯 ADD-ON

What: Instagram-style social feed for company communication

Features:

  • Posts (text + images)
  • Likes and comments
  • Company/department/team visibility
  • AI-generated post summaries
  • @mentions and notifications

Why ADD-ON:

  • Not core HR functionality
  • Competes with Slack/Teams - risky
  • Significant complexity (media uploads, notifications, comment threads)
  • High engagement potential but not essential

Database:

  • TeamPost, PostLike, PostComment tables
  • Media storage in Google Cloud Storage
  • Denormalized counters (with transactions)

Simplified Design:

  • ✅ Text posts + images only
  • ✅ Flat comments (no nested threads)
  • ✅ Simple AI summaries
  • ❌ No video/voice posts (future)
  • ❌ No complex notification system

2.2 Goals / OKR Tracking 🎯 ADD-ON

What: Basic goal tracking with AI suggestions

Features:

  • Create goals (personal, team, company)
  • Progress tracking (0-100%)
  • Optional key results
  • AI goal suggestions based on role
  • Manager review of team goals

Why ADD-ON:

  • Not essential for HRMS
  • Competes with dedicated OKR tools (Lattice, 15Five)
  • AI suggestions require understanding industry benchmarks
  • Can be simplified to plain text "notes" field

Database:

  • Goal, KeyResult tables
  • Status tracking

Simplified Design:

  • ✅ Basic goal CRUD
  • ✅ Simple progress bar
  • ✅ AI suggestions (based on job title only)
  • ❌ No alignment/cascading goals
  • ❌ No performance review integration

2.3 Advanced RBAC Permissions 🎯 ADD-ON

What: Granular resource:action:scope permissions

Features:

  • Custom role creation
  • Permission assignment (employees:read:team, leaves:approve:department)
  • Scope-based filtering (own, team, department, company)

Why ADD-ON:

  • CORE features use 3 fixed roles (Admin, Manager, Employee)
  • Most 100-employee companies don't need custom roles
  • Adds UI complexity (role builder)

Implementation:

  • Backend already supports this (built in foundation)
  • Just needs frontend UI for role management

Future Features

These are long-term enhancements that require CORE and ADD-ON foundation:

3.1 Advanced Features

  • Performance reviews and 1-on-1s
  • Compensation management
  • Learning & development
  • Recruiting integration
  • Advanced analytics and reporting

3.2 AI Enhancements

  • AI workflow suggestions ("You should approve this leave")
  • Predictive analytics ("High turnover risk in Engineering")
  • AI-generated performance reviews
  • Document question answering with citations

3.3 Infrastructure

  • Video/voice posts in team feed
  • Nested comment threads
  • Hybrid search (vector + text)
  • Advanced caching (pattern-based, version-based invalidation)
  • High Availability (HA) setup
  • Multi-region deployment

Decision Matrix: CORE vs ADD-ON

FeatureCORE?Rationale
Employee profilesFoundation of HRMS
Time-off trackingStandard requirement
Document + AI searchKey differentiator
Multi-tenant authSecurity foundation
Basic dashboardAdmin visibility
Platform AdminB2B SaaS operation
Team feedNot core HR, high complexity
OKR trackingSeparate product category
Performance reviewsFuture
CompensationFuture

Timeline Summary

StageDurationPhasesFeaturesDeliverable
FoundationMonths 1-200-01.5Auth, Database, API, Frontend, Multi-tenancy, Design SystemFoundation complete
CORE FeaturesMonths 3-402-09Employee, Org, Time-off, Docs, Tags, Dashboard, AIWorking HRMS with AI search
Platform AdminMonth 410-10.5Tenant management, Admin assignment, Pre-launchB2B SaaS ready
ProductionMonth 411GCP deployment, Cloud SQL, MongoDB Atlas, CI/CDLive production system
ADD-ON FeaturesMonths 5-6Add-onsTeam feed, OKR, Advanced RBACFull-featured HRMS
FutureMonth 7+FuturePerformance, Compensation, Advanced AIEnterprise HRMS

Note: Phases are executed sequentially. See Implementation Plan for complete details.

Key Takeaways

  1. CORE features define the MVP: Employee management, time-off, documents with AI search
  2. ADD-ON features are differentiators: Team feed and OKR tracking add value but aren't essential
  3. Always working code: Each feature delivers production-ready code
  4. Enterprise architecture from day one: Multi-tenancy, RBAC, dual DB built correctly in foundation
  5. No rewrites: Architecture supports future features without major refactoring

Next: See Implementation Plan for phase structure and timeline.