Milestones
Quarter 1
Foundation & Core Development
Build core infrastructure and MVP features
Milestone 1
Goal:
Establish a solid foundation for Strong AI, setting up backend infrastructure and creating an MVP (Minimum Viable Product) to test core functionalities.
Key Focus Areas:
Backend Setup: Set up hosting, databases, and a scalable backend environment (e.g., using Bubble, Make.com, or custom server infrastructure).
Core Chat Interface: Develop the main chat interface, allowing users to interact with Strong AI. Ensure basic message flow, message history, and session management are implemented.
MVP Features: Integrate key features like reflective listening, empathy responses, and guidance prompts. Start with a small library of responses focused on common themes (e.g., anxiety, loneliness).
Basic Interaction Logging: Set up systems to log user interactions, creating a basis for interaction limits, upgrade prompts, and engagement tracking.
Testing & Iterations:
Conduct internal testing to ensure stability and make adjustments to user flow and response quality based on feedback.
Quarter 2
Advanced Features & Emotional Intelligence
Enhance emotional intelligence & personalisation
Milestone 2
Goal:
Focus on refining Strong AI’s conversational ability and responsiveness,
introducing more advanced features like personalized follow-ups, deeper emotional intelligence, and expanded response libraries.
Key Focus Areas:
Emotion Recognition and Adaptive Responses: Implement algorithms for Strong AI to recognize emotional cues and adapt responses based on user tone and context.
Expanding the Response Library: Enrich the response library with scenarios covering deeper emotional and mental health issues, including grief, self-doubt, and family stress.
Personalised Follow-Ups: Add functionality for Strong AI to remember key details and follow up on previous conversations to enhance continuity and build rapport.
Advanced Interaction Logging and Feedback Collection: Begin tracking user feedback to better understand user satisfaction and areas for improvement. Implement a basic analytics dashboard for internal review.
Testing & Iterations:
Engage a small group of beta testers, collecting feedback on response accuracy, user experience, and engagement. Use this feedback to refine Strong AI’s responses and behaviour.
Quarter 3
Crisis Response & Safeguarding
Develop crisis response and expand safeguarding
Milestone 3
Goal:
Enhance Strong AI’s ability to recognise and respond to crisis situations, creating a framework for crisis intervention, escalation, and additional resources.
Key Focus Areas:
Crisis Detection and Escalation Protocols: Develop algorithms to detect crisis language (e.g., suicidal ideation, extreme distress) and create escalation prompts that gently guide users to external resources (e.g., helplines, emergency contacts).
Integration of Safeguarding Resources: Implement integrations with helplines like Samaritans and build a database of support options (counseling, mental health charities) Strong AI can refer users to.
Privacy & Data Security: Strengthen data privacy and security measures to ensure user information is safe and conversations are confidential.
Expand Beta Testing to Broader Group: Increase the number of beta testers to get diverse feedback on Strong AI’s crisis handling, safeguarding, and general responsiveness.
Testing & Iterations:
Collect detailed feedback from beta testers on Strong AI’s crisis response and safeguarding approach. Refine Strong AI’s language and prompt timing based on test results.
Quarter 4
User Experience & Pre-Launch Preparation
Finalise user experience and prepare for public launch
Milestone 4
Goal:
Refine user experience and prepare Strong AI for a seamless, reliable interaction flow before full launch.
Key Focus Areas:
User Experience Optimisation: Refine UI/UX to make Strong AI’s interface intuitive and user-friendly, incorporating beta feedback to polish design and interaction flow.
Implement Pricing & Upgrade System: Finalise interaction limits for free and paid users, integrating empathetic upgrade prompts, and a seamless payment gateway for paid tiers.
Final Beta Testing and Quality Assurance: Conduct extensive testing with the expanded beta group to finalize any adjustments to Strong AI’s responses, crisis management, and follow-up systems.
Marketing Materials and Brand Positioning: Begin preparing marketing materials and brand messaging to ensure clear communication about Strong AI’s mission, features, and benefits for potential users.
Pre Launch Evalution
Gather and evaluate all beta feedback and perform a final audit of Strong AI’s performance, user experience, and engagement metrics to ensure readiness for a smooth public launch.