jsoloo47
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9 months ago USER FLOW: Initial Setup and Context Building Welcome and Onboarding:
Briefly explain the app's purpose and features. Introduce the integration of LLM for personalized experiences. User Profile Creation:
Collect basic demographic information and preferences. Ask about interests, goals, and what they hope to achieve with the app. Initial Survey for Contextual Understanding:
A set of questions to understand the user's current emotional state, goals, and mindfulness practices. This helps in tailoring the initial experience. Introduction to Personalized AI Assistant:
Showcase the conversational interface. Explain how it will help in building a long-term, context-aware journey. Transition to Specific Flows Home Dashboard Presentation:
Display a serene, adaptable dashboard with icons for different flows (Reflection, Gratitude, Goals, Mindfulness). The dashboard dynamically updates based on the user's time of day, mood, and past interactions. Personalized Recommendations:
Based on the initial context, the AI suggests starting with a particular flow. For example, if the user expressed stress, it might recommend the Mindfulness Corner Flow. Flow-Specific User Journeys Daily Reflections Flow:
Start: AI suggests a reflection based on the day's context or user mood. Reflection Process: User engages with a rich text editor, with AI-generated prompts and insights. Review and Save: Options to add titles, mood tags, and view insights from AI based on the entry. Gratitude Path Flow:
Start: AI presents a personalized gratitude prompt. Gratitude Entry: User writes their entry, with options to add images or voice memos. Review and Collection: Visualization of gratitude entries in a dynamic collection (Jar/Garden). Goal Setting Gateway Flow:
Goal Dashboard: AI assists in setting SMART goals based on user interests and past achievements. Milestones and Tracking: Interactive goal setting with milestones, and AI-generated suggestions for steps. Progress Review: Visual feedback and AI insights on progress and adjustments. Mindfulness Corner Flow:
Mindfulness Activity Selection: AI suggests activities based on user's current state or past preferences. Guided Session: Options for guided meditation or breathing exercises. Post-Activity Reflection: AI-assisted journaling and insights post-activity. Ongoing Engagement and Adaptation Regular Check-ins and Updates:
The AI assistant periodically checks in to update the user's context and adapt the recommendations. This helps in keeping the experience relevant and personalized. Progress and Insights Dashboard:
A section of the app dedicated to showing long-term trends, achievements, and areas for improvement. Feedback Loop:
Regularly ask for user feedback to improve the AI's understanding and suggestions.
Start with User Flows: It sets the foundation. Knowing how users will navigate your app informs the data schema and UI design.
Next, Define the Data Schema: Once you know the user journey, you'll have a clearer idea of the data requirements.
Finally, Design the UI: With the flow and data structure in place, you can create UI that enhances the user experience, integrating it seamlessly with your backend technologies.