TaskaDoo

npx mcpbar@latest edit -c claude

TaskaDoo
Version: 1.0
Author(s): Team Rododendron Date: February 18, 2025

---

Table of Contents

1. App Overview
2. App Mechanics
3. Visual Style
4. Sound
5. User Interface (UI) and User Experience (UX)
6. Technical Specifications
7. Production Plan
8. Appendices

---

App Overview

High Concept:
TaskaDoo is a mobile application designed to assist individuals who struggle with daily motivation, organization and time management. By leveraging voice and text inputs, the app helps users plan tasks, create routines, and receive timely reminders to boost productivity and ensure nothing is overlooked.

Genre:
Productivity / Personal Organization

Target Audience:

• Individuals with organizational challenges
• Neurodiverse users
• People with time blindness or difficulty perceiving time

Platform:
Mobile (iOS and Android)

---

App Mechanics

Core Mechanics:

• Task Input: Users can either dictate or type tasks and routines into the app.
• Automatic Categorization: The AI processes input, automatically categorizes tasks, and suggests attributes such as date, time, priority (weight), color-coding, and category.
• Calendar & Priority Integration: Tasks are organized based on calendar events and weighted priorities to ensure optimal scheduling.
• Adaptive Reminders:
  • Reminders are issued 30 minutes, 15 minutes, and 5 minutes before a task is scheduled to begin.
  • Users receive notifications via both voice and visual cues.

User Interactions:

• Response Buttons:
  • "Okay": Acknowledges the reminder and indicates the user is beginning the task (no further prompts needed).
  • "Don't Want": Triggers the AI to offer motivational support and reasons why the task is beneficial, aiming to convince the user to proceed.
  • "Postpone": Allows users to delay a task. In this mode, the user may need to provide a reason, prompting an interactive dialogue with the AI to address possible procrastination.

Objectives:

• Enhance daily organization and time management.
• Provide adaptive, empathetic, and sometimes assertive guidance to encourage task completion.

Controls:

• Voice Interaction: Primary input method, with natural language processing to understand and categorize dictated tasks.
• Text Input: Optional mode for users preferring or requiring text-based interaction.
• Touch Controls: For selecting response buttons and navigating menus.

---

Visual Style

Art Style:

• Clean and Minimalistic: A streamlined interface that avoids clutter while emphasizing clarity.
• Color-Coding: Tasks are color-coded based on categories and priorities to quickly convey information at a glance.
• Mood Boards & Style Guides: Visual references will include modern design elements with both playful and professional touches, ensuring the app remains engaging yet easy to navigate.

---

Sound

Music:

• Subtle, non-intrusive background music may be integrated to create a calming environment during routine planning and task review sessions.

Sound Effects:

• Distinctive notification sounds signal reminders and confirm user interactions.
• Audio cues help reinforce task priorities and transitions between activities.

Voice Acting:

• The AI voice is dynamic, capable of shifting tones to suit user preferences—ranging from a straightforward, no-nonsense prompt (e.g., "Come on, get to it!") to a gentle, encouraging tone (e.g., "Mmm sweetheart, you can do this!").

---

User Interface (UI) and User Experience (UX)

HUD (Heads-Up Display):

• Displays current tasks, upcoming reminders, and calendar events.
• Visual indicators (icons, color bands) represent task categories and priorities.

Menus:

• Main Menu: Simplified layout with options for task input, calendar view, settings, and report access.
• Settings: Customize voice tone, notification intervals, and input preferences (voice/text).

Navigation Flow:

• Intuitive swipe and tap gestures guide users from one screen to another.
• A clear hierarchy ensures that the most critical functions (task entry, reminders) are always easily accessible.

---

Technical Specifications

Engine/Framework:

• Developed using cross-platform frameworks (e.g., React Native or Flutter) to ensure a smooth experience on both iOS and Android devices.
• Integrated with advanced AI modules for natural language processing and automatic task categorization.

Technical Requirements:

• Minimum modern smartphone hardware with support for voice recognition.
• Operating System: iOS 13+/Android 9+ (or equivalent).

Platform Specifics:

• Optimized for mobile use with considerations for battery usage, offline functionality, and accessibility features (e.g., large fonts, high-contrast mode).

---

Production Plan

Timeline:

• Phase 1: Research & Design (1-2 months)
• Phase 2: Development & AI Integration (3-4 months)
• Phase 3: Beta Testing & User Feedback (2 months)
• Phase 4: Final Adjustments & Launch (1 month)

Team:

• Project Manager: Oversees the timeline and coordinates between departments.
• Developers: Responsible for coding, integration, and maintenance.
• UI/UX Designers: Craft a user-friendly interface and intuitive experience.
• AI/ML Specialists: Develop and refine voice recognition, natural language processing, and adaptive response algorithms.
• QA Testers: Ensure the app runs smoothly across devices and meets user needs.

Budget:

• Allocation for research and design, development resources, AI integration, beta testing, marketing, and post-launch support.
• A contingency fund is reserved for unforeseen challenges, such as further voice recognition refinements.

Risk Assessment:

• Voice Recognition Accuracy: Mitigated by continuous AI training and feedback loops.
• User Adoption: Focus groups and beta testing with target demographics to refine usability and accessibility.
• Technical Limitations: Ensuring broad device compatibility and smooth operation on lower-end hardware.

---

Appendices

Glossary:

• Task Weight: A numerical or color-coded representation of a task's priority.
• Time Blindness: A cognitive condition where the perception of time is impaired.
• Neurodiverse: Individuals whose brain functions differ from the typical pattern, including those with ADHD, autism, etc.

References:

• Research on productivity apps and cognitive behavioral techniques.
• Studies on voice interaction design and accessibility for neurodiverse users.

Concept Art and Additional Materials:

• [Placeholder for mood boards, wireframes, and initial design sketches to be attached in future document revisions.]

---

End of Report