@cloudkinetix/bmad-enhanced
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Cloud-Kinetix enhanced fork of BMAD-METHOD - Breakthrough Method of Agile AI-driven Development with robust versioning and unified validation.
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# TaskFlow Pro Product Requirements Document (PRD)
## 1. Introduction
- **Product Vision:** Empower teams to achieve 2x productivity through AI-driven project intelligence.
- **Target Release:** Q2 2024 MVP
## 2. Goals and Objectives
- **Primary Goal:** To significantly reduce project management overhead by automating key processes with AI.
- **Success Metrics:**
- 90+ Net Promoter Score (NPS)
- 40% reduction in project management overhead for customers
- $10M in Annual Recurring Revenue (ARR) by Year 2
## 3. Core Features for MVP
### Functional Requirements
- **FR1: AI Task Prioritization:** The system must use an ML-based model to automatically score and prioritize tasks based on urgency, impact, and dependencies.
- **FR2: Predictive Resource Allocation:** The system must analyze team capacity and project timelines to provide recommendations for resource allocation, aiming to prevent burnout and optimize capacity.
- **FR3: Natural Language Updates:** Users must be able to provide project status updates via natural language input (text and/or voice).
- **FR4: Smart Analytics Dashboard:** The platform must include a real-time dashboard displaying key project health metrics, such as progress against timeline, resource utilization, and potential risks.
- **FR5: Core Integrations:** The MVP must include integrations with Slack, Microsoft Teams, GitHub, and Jira.
### Non-Functional Requirements
- **NFR1: Scalability:** The system must support 100,000 concurrent users.
- **NFR2: Performance:** API response times must be less than 200ms under typical load.
- **NFR3: Availability:** The platform must maintain 99.95% uptime.
## 4. Technical Requirements
- **Architecture:** The system will be built on a microservices architecture to ensure scalability and maintainability.
- **Deployment:** The platform will be deployed on AWS using Kubernetes for container orchestration.
- **Database:** PostgreSQL will be used as the primary relational database, with Redis for caching.
## 5. Epics
- **Epic 1: Foundational Infrastructure & Core Services:** Establish the core cloud infrastructure, CI/CD pipelines, and foundational microservices for authentication, users, and tasks.
- **Epic 2: AI Prioritization Engine:** Develop and integrate the machine learning model for intelligent task prioritization.
- **Epic 3: Analytics & Reporting:** Build the smart analytics dashboard and the underlying data pipeline for real-time metrics.
- **Epic 4: Integrations Framework:** Implement the initial set of third-party integrations (Slack, Teams, GitHub, Jira).