MVP Plan for Macrohard

1. Core Features and Functionality

Essential Features for the MVP

Core Features:

1. Tailored Technology Integration Module:

   • A tool that assesses enterprise needs and provides personalized integration solutions.

2. Regulatory Compliance Dashboard:

   • A module offering compliance tracking specific to healthcare (HIPAA) and financial services (GDPR).

3. User Management System:

   • A robust user authentication and permissioning system tailored to the clients’ organizational structures.

4. Integration API:

   • APIs that allow for seamless connections between legacy systems and new technologies.

5. Support Ticketing and Management System:

   • A basic support system where users can log issues and receive assistance.

Deferred Features for Later Versions

• Advanced Data Analytics and Reporting Tools
• Machine Learning-based Customization Recommendations
• Detailed User Community and Feedback Forums

User Journey and Key Use Cases

1. Initial Consultation: Clients will sign up and provide their basic requirements through a guided questionnaire.
2. Assessment Phase: The platform evaluates input to suggest tailored integration strategies.
3. Integration Commencement: Clients can initiate integration with ongoing support tracked through tickets.
4. Compliance Monitoring: Clients will continuously monitor compliance metrics via the dashboard.

High-Level Technical Requirements

• Frontend: Blazor for user interfaces.
• Backend: Go for high-performance APIs.
• Database: PostgreSQL for managing user data and configurations.
• Hosting: AWS infrastructure for scalability and security.
• Security: Basic encryption and compliance management mechanisms to ensure data safety.

2. Feature Prioritization

MoSCoW Analysis

1. Must-have:

   • Tailored Technology Integration Module
   • Regulatory Compliance Dashboard
   • User Management System

2. Should-have:

   • Integration API
   • Support Ticketing and Management System

3. Could-have:

   • Data Analytics and Reporting Tools

4. Won’t-have for MVP:

   • Detailed User Community and Feedback Forums

Reasoning Behind Prioritization

• The must-have features address the core problems identified—technology integration and regulatory compliance, which are critical for attracting early users.
• Should-have features support client operations and help affirm trust, while could-have items can enhance value and enrich user experience in subsequent iterations.

Dependencies Between Features

• The Tailored Technology Integration Module and Regulatory Compliance Dashboard are foundational for all subsequent interactions; therefore, they must be developed first to ensure a smooth user journey.

3. Development Timeline and Milestones

Realistic but Optimized Timeline for AI-Assisted Development

• Phase 1 (Weeks 1-4):

  • Requirement analysis and finalizing feature specifications.
  • Begin frontend and backend development concurrently, leveraging Blazor and Go.

• Phase 2 (Weeks 5-8):

  • Integrate the User Management System and set up the PostgreSQL database.
  • Begin developing the Integration API.

• Phase 3 (Weeks 9-12):

  • Develop the Regulatory Compliance Dashboard and Support Ticketing System.
  • Conduct thorough testing (unit and integration).

• Phase 4 (Weeks 13-16):

  • Perform user acceptance testing (UAT).
  • Address any feedback and prepare for the marketing launch.

Key Milestones

• End of Week 4: Prototype of Tailored Technology Integration Module.
• End of Week 8: Completion of User Management System and starting API integration.
• End of Week 12: Market-ready MVP with key functionalities.
• End of Week 16: Launch and begin gathering user feedback.

4. Success Metrics and Validation Criteria

KPIs to Measure MVP Success

• User Acquisition Rate: Number of enterprises signed up in the first month post-launch.
• Feature Utilization Rate: Percentage of users actively using the primary features within the initial three months.
• Customer Satisfaction Score: Through surveys, a target score of 80% positive feedback on usability and effectiveness.
• Support Ticket Resolution Time: Average time taken to resolve user queries, with a goal of under 48 hours.

User Feedback Collection Methods

• Surveys and Usability Tests: Feedback sessions with the initial users after implementing and using the MVP.
• Regular follow-up interviews: Scheduled during the first three months of deployment to gather qualitative insights.

Criteria for Iteration or Pivot

• If user acquisition doesn’t reach a predefined threshold (e.g., 100 users in the first month), reassessment of marketing strategy or feature scope may be necessary.
• Low customer satisfaction scores (below 70%) will trigger deep dives into user experiences with specific features for improvement.

5. Resource Requirements

Lean Team Composition with AI Assistance

• 1 Product Manager: Overseeing project scope and timelines.
• 2 Software Engineers: Handling both frontend and backend development, utilizing AI tools to accelerate the development process.
• 1 UX/UI Designer: Creating intuitive interfaces aligning with enterprise users’ needs.
• 1 Quality Assurance (QA) Specialist: Ensuring functionality and usability of the platform.

Estimated Budget Range

• Development Costs: $200,000 - $300,000, utilizing AI for tools, development, and bug resolution to reduce time.
• Marketing and Launch Budget: $50,000, covering campaigns through LinkedIn and initial outreach efforts.

Third-Party Tools or Services

• Cloud Hosting Services: AWS or similar for reliable infrastructure.
• Payment Processing: Stripe for subscription services and project payments.
• Collaboration Tools: JIRA or Trello for project management, and Slack for team communications.

Technical Infrastructure Needs

• Basic setup on AWS (compute, storage, and database management).
• Security services for compliance, ensuring connections are secure and data integrity is maintained.

By following this structured MVP plan, Macrohard can aim to validate its core assumptions and address critical pain points within the target market while efficiently managing resource constraints and operational challenges.