diff --git a/AutoGuided onboarding Features.md b/AutoGuided onboarding Features.md new file mode 100644 index 0000000..9f332c8 --- /dev/null +++ b/AutoGuided onboarding Features.md @@ -0,0 +1,96 @@ +# AutoGuided Onboarding Features + +## Overview + +AutoGuided Onboarding leverages AI to streamline the integration of new users, employees, or systems into workflows, applications, or organizational cultures. Below are detailed features that could be part of such a system: + +--- + +## 1. **Personalized Welcome Journey** + +- **Customized Greetings**: Tailored messages based on user profile, role, or department. +- **Role-Specific Pathways**: Different onboarding paths for different roles, ensuring relevant information is delivered. + +--- + +## 2. **AI-Driven Step-by-Step Guidance** + +- **Interactive Tutorials**: Walkthroughs that adapt based on user actions and questions. +- **Checklist Automation**: Auto-generated and progress-tracked checklists for onboarding tasks. + +--- + +## 3. **Intelligent Content Delivery** + +- **Context-Aware Content**: AI analyzes user behavior to deliver content that's most relevant at each stage. +- **Just-In-Time Learning**: Provides information or training modules when they're most applicable to the user's current task or role. + +--- + +## 4. **Real-Time Support** + +- **AI Chatbot Assistance**: Immediate answers to common questions, reducing support ticket volume. +- **Human Escalation**: Seamless transfer to human support when AI can't resolve an issue. + +--- + +## 5. **Progress Monitoring** + +- **Dashboard Analytics**: Real-time visibility into onboarding progress for both users and administrators. +- **Milestone Notifications**: Alerts when key steps or milestones are reached or missed. + +--- + +## 6. **Feedback and Adaptation** + +- **User Feedback Collection**: Systematic approach to gather user feedback for continuous improvement. +- **Machine Learning for Customization**: Adjusts onboarding strategies based on collective feedback and success rates. + +--- + +## 7. **Integration with Existing Systems** + +- **API Compatibility**: Connects with HR, CRM, or other enterprise systems for a seamless data flow. +- **Single Sign-On (SSO)**: Simplifies user authentication and reduces the need for multiple logins. + +--- + +## 8. **Security and Compliance** + +- **Role-Based Access Control**: Ensures users see only what's relevant to their job function. +- **Data Privacy Protocols**: Compliance with data protection regulations like GDPR or CCPA. + +--- + +## 9. **Multilingual Support** + +- **Language Detection**: Automatically detects user's preferred language for onboarding content. +- **Translation Services**: Integrates with translation APIs or services for non-English speakers. + +--- + +## 10. **Gamification and Engagement** + +- **Reward Points System**: Incentivizes completion of onboarding tasks with points or badges. +- **Interactive Challenges**: Makes learning engaging with quizzes, puzzles, or scavenger hunts related to onboarding. + +--- + +## 11. **Post-Onboarding Follow-up** + +- **Periodic Check-ins**: Automated messages or surveys to ensure users are successfully adapting post-onboarding. +- **Continued Learning Pathways**: Suggests additional training or resources based on user performance and needs. + +--- + +## Implementation Strategy + +- **Pilot Program**: Start with a small group to test and refine the system. +- **Iterative Development**: Use feedback to update and enhance the AI model continuously. +- **Scalability**: Design the system to handle growth in user numbers without degradation in service quality. + +--- + +## Conclusion + +An AutoGuided Onboarding system with these features will not only make the onboarding process more efficient but also more engaging and personalized, leading to higher user satisfaction and quicker productivity ramps. Whether for a new software tool, a corporate environment, or service onboarding, these features aim to create a welcoming, supportive, and adaptive environment for all new users. diff --git a/CFP prototype plan.pdf b/CFP prototype plan.pdf new file mode 100644 index 0000000..96417be Binary files /dev/null and b/CFP prototype plan.pdf differ diff --git a/Contact.md b/Contact.md new file mode 100644 index 0000000..cf446ee --- /dev/null +++ b/Contact.md @@ -0,0 +1,11 @@ +# Contact Details + +**Name:** Ahmed Ibrahim Metawee Youssef +**Occupation:** Freelance Marketing Consultant and Solopreneur +**Specialization:** SpaceTech, Data Science, Digital Marketing, UX researcher, AI product manager. + +**Email:** [aimt16@hotmail.com](mailto:aimt16@hotmail.com) +**Phone:** +201114119479 +# Visit me: +**LinkedIn:** [linkedin.com/in/aimty](https://www.linkedin.com/in/aimty) +**Website:** [CFP0.com](https://cfp0.blogspot.com) diff --git a/README.md b/README.md index 1078c23..06fa8d6 100644 --- a/README.md +++ b/README.md @@ -4,124 +4,12 @@ The AI Onboarding webApp aims to address the pressing issue of carbon footprint reduction through innovative technology. By leveraging autonomous small satellites (smallsats) for earth observation, this webApp provides users with personalized insights and recommendations to help them reduce their carbon footprint. The goal is to empower individuals and organizations to take actionable steps towards a more sustainable future. ![Auto smallsat network topology](https://github.com/aimtyaem/EOInfo/blob/a71ee89bf3f7443bb7766dca35ce432feffd1bfd/1751033024.jpg) -## Project Structure -This project includes the following components: -1. **Wireframe Design** -2. **Prototype** -3. **Mockup Design** - -## Wireframe Design - -### Homepage -``` -+-----------------------------+ -| Homepage | -|-----------------------------| -| Headline | -| Introduction | -| [CTA Button] | -+-----------------------------+ -``` - -### Onboarding Flow -``` -+-----------------------------+ -| Onboarding Flow | -|-----------------------------| -| Step 1: Introduction | -| Step 2: Features Overview | -| Step 3: Set Up Profile | -| [Start Using the App] | -+-----------------------------+ -``` - -### Dashboard -``` -+-----------------------------+ -| Dashboard | -|-----------------------------| -| Carbon Footprint Overview | -| [Charts & Graphs] | -| Recommendations | -+-----------------------------+ -``` - -### User Profile -``` -+-----------------------------+ -| User Profile | -|-----------------------------| -| Profile Info | -| Settings & Preferences | -| Social Media Connections | -+-----------------------------+ -``` - -### Resource Center -``` -+-----------------------------+ -| Resource Center | -|-----------------------------| -| Articles & Videos | -| [Search & Filter] | -+-----------------------------+ -``` - -### Community -``` -+-----------------------------+ -| Community | -|-----------------------------| -| Forums & Discussions | -| User Groups & Challenges | -+-----------------------------+ -``` - -## Prototype - -The interactive prototype can be found [here](https://aton4st.blogspot.com). It includes detailed mockups and user flows to illustrate the user experience and interactions. - -## Mockup Design - -### Homepage Mockup -![Homepage Mockup](https://github.com/aimtyaem/EOInfo/blob/ea27746647fb4cf297cf11372eb35207329a6180/1739718419%20(1).jpg) - -### Onboarding Flow Mockup -![Onboarding Flow Mockup](#) - -### Dashboard Mockup -![Dashboard Mockup](#) - -### User Profile Mockup -![User Profile Mockup](#) - -### Resource Center Mockup -![Resource Center Mockup](#) - -### Community Mockup -![Community Mockup](#) - -## Team Members - -- **Project Manager**: Oversees project timelines, coordinates tasks, ensures communication, manages resources. -- **Frontend Developer**: Designs user interface, implements interactive elements, ensures responsive design. -- **Backend Developer**: Manages server-side logic, databases, API integration, ensures security. -- **AI Specialist**: Develops machine learning models, trains AI systems, integrates AI with the web app. -- **Data Scientist**: Collects and processes data, performs data analysis, ensures data accuracy. -- **UX/UI Designer**: Designs user-friendly interfaces, creates visual designs, conducts user testing. -- **Sustainability Expert**: Provides sustainability insights, suggests carbon reduction strategies, validates data. -- **Marketing Specialist**: Promotes the web app, engages with users, gathers feedback, manages social media. - -## Getting Started - -To get started with the development of this project, follow the steps below: -1. Clone the repository. -2. Install necessary dependencies. -3. Follow the wireframe and mockup designs to develop the frontend and backend components. -4. Integrate AI models and data processing modules. -5. Conduct user testing and gather feedback for improvements. - -We hope this project inspires and empowers users to contribute to a sustainable future by reducing their carbon footprints with the help of advanced technology. - -For more information, please contact aimt16@hotmail.com. +## CFP +1. Prototype to MVP. +2. Wireframe. +3. Overview of autosmall satellites. +4. Data requirements. +5. AGO features. +6. Prototype Plan. + diff --git a/Turning prototype into MVP.pdf b/Turning prototype into MVP.pdf new file mode 100644 index 0000000..c29eb6d Binary files /dev/null and b/Turning prototype into MVP.pdf differ