Jules 3.0 School of Fish App Facelift
Product Requirements Document & Development Timeline
Table of Contents
Executive Summary
Project Overview
The Jules 3.0 School of Fish app facelift is a comprehensive modernization initiative aimed at enhancing the user experience, improving performance, and maintaining market competitiveness in the early childhood computational thinking education space. This project will update the existing platform while preserving its core educational value and proven curriculum effectiveness.
Key Objectives
Modernize UI/UX to meet 2025 design standards and improve engagement Enhance Performance by 40% across all devices Improve Teacher Tools with advanced analytics and classroom management features Ensure Accessibility with WCAG 2.1 AA compliance Optimize Mobile Experience for tablets and smartphones Timeline & Investment
Project Duration: 7 months (March - October 2025) Beta Release: October 15, 2025 Total Investment: $523,250 USD Team Size: 7-8 professionals Expected Outcomes
25% increase in user engagement 4.5/5 teacher satisfaction score 50% reduction in reported bugs 20% improvement in user retention Product Vision & Objectives
Long-term Vision
To establish Jules School of Fish as the premier computational thinking platform for early childhood education, empowering young learners (ages 4-6) with essential 21st-century skills through engaging, gamified learning experiences.
Core Value Proposition
Jules 3.0 delivers:
For Students: Engaging, age-appropriate games that make learning computational thinking fun and intuitive For Teachers: Powerful classroom management tools with real-time insights and curriculum alignment For Parents: Transparent progress tracking and home learning extensions For Schools: Comprehensive curriculum solution with proven learning outcomes Strategic Alignment
This facelift aligns with:
Growing demand for STEM education in early childhood Shift towards digital-first learning platforms Increased focus on computational thinking as core skill Need for inclusive, accessible educational technology User Research & Personas
Primary Personas
1. Little Learner Lucy (Age 5)
Characteristics:
Limited reading ability, primarily visual learner Short attention span (10-15 minutes) Loves colorful animations and rewards Needs clear, simple instructions Needs:
Intuitive navigation with visual cues Immediate feedback and rewards Short, engaging game sessions Audio instructions and support 2. Teacher Tanya (Age 32)
Characteristics:
Manages classroom of 20-25 students Limited technical expertise Time-constrained for lesson planning Needs:
Quick student progress overview Simple content management Automated reporting features 3. Parent Peter (Age 38)
Characteristics:
Wants to support child's learning Limited time for involvement Concerned about screen time Values educational outcomes Needs:
Home activity suggestions Learning outcome visibility User Journey Maps
Student Learning Flow
Login → Visual avatar selection Dashboard → Animated world map with available activities Game Selection → Preview animations showing gameplay Learning → Progressive difficulty with scaffolding Completion → Celebration animations and rewards Progress → Visual progress indicators and achievements Feature Requirements
Priority 0 (Must-Have) Features
1. Modern UI/UX Redesign
Description: Complete visual overhaul with contemporary, child-friendly design language
Functional Requirements:
New color palette optimized for young learners Larger touch targets (minimum 44×44 pixels) Consistent iconography and visual language Smooth animations and transitions High contrast mode for visibility Acceptance Criteria:
All UI elements meet accessibility standards Touch targets pass usability testing with target age group Loading times reduced by 40% Consistent experience across devices Effort: XL
2. Enhanced Game Performance
Description: Optimization of all games for smooth, responsive gameplay
Functional Requirements:
60 FPS on supported devices Reduced initial load time to <3 seconds Offline mode for core games Automatic quality adjustment based on device Memory optimization for older devices Acceptance Criteria:
Games maintain 60 FPS on 80% of test devices No crashes during 2-hour continuous play sessions Offline mode functional for 5 core games Effort: L
3. Teacher Dashboard 2.0
Description: Comprehensive classroom management and analytics platform
Functional Requirements:
Real-time student progress tracking Customizable learning paths Automated progress reports Parent communication tools Learning objective alignment Acceptance Criteria:
Dashboard loads in <2 seconds Reports generated in <5 seconds Support for 30+ simultaneous students 90% teacher satisfaction in usability testing Effort: XL
4. Accessibility Compliance
Description: Full WCAG 2.1 AA compliance for inclusive learning
Functional Requirements:
Screen reader compatibility Keyboard navigation support Color blind friendly modes Audio descriptions for animations Closed captions for videos Acceptance Criteria:
Successfully tested with assistive technologies Positive feedback from accessibility focus group Effort: L
Priority 1 (Nice-to-Have) Features
1. AI-Powered Recommendations
Description: Personalized learning path suggestions based on performance
Functional Requirements:
Performance analysis algorithm Difficulty adjustment system Content recommendation engine Progress prediction model Effort: L
2. Parent Portal
Description: Dedicated interface for parents to track and support learning
Functional Requirements:
Home activity suggestions Effort: M
Technical Specifications
Architecture Overview
┌───────────────────────────────────────────┐
│ Frontend (React Native) │
├───────────────────────────────────────────┤
│ API Gateway (REST) │
├───────────────────────────────────────────┤
│ Backend Services (Node.js) │
├───────────────────────────────────────────┤
│ Database (PostgreSQL) │
├───────────────────────────────────────────┤
│ CDN (CloudFront) │ Storage (S3) │
└───────────────────────────────────────────┘
Technology Stack
Frontend: React Native / Flutter Backend: Node.js with Express Database: PostgreSQL with Redis cache Cloud: AWS (EC2, S3, CloudFront, RDS) Analytics: Custom analytics with Google Analytics backup Monitoring: DataDog / New Relic API Specifications
Rate limiting: 100 requests/minute Response time target: <200ms Data Management
User data encryption at rest and in transit Data retention policy: 3 years Implementation Timeline
Project Phases Overview
March 2025 April-May 2025 June-Sept 2025 Oct 2025 Nov-Dec 2025
│ │ │ │ │
Discovery ──── Design ──── Development ──── Beta ──── Production
│ │ │ │ │
4 weeks 8 weeks 16 weeks 2 weeks 8 weeks
Detailed Milestone Schedule
Phase 1: Discovery & Planning
Critical Path Dependencies
Design completion → Development start Infrastructure setup → Feature development Core features → Teacher tools integration Beta feedback → Production release Resource Allocation Timeline
Role Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Product Manager ████ ████ ████ ████ ████ ████ ████ ████ ████
UX/UI Designer ████ ████ ████ ████ ████ ████
Frontend Dev 1 ████ ████ ████ ████ ████ ████ ████
Frontend Dev 2 ████ ████ ████ ████ ████ ████ ████
Backend Developer ████ ████ ████ ████ ████ ████
Game Developer ████ ████ ████ ████ ████
QA Engineer ░░░░ ░░░░ ░░░░ ░░░░ ████ ████ ████
Technical Writer ░░░░ ████ ████
████ Full-time ░░░░ Part-time
Cost Analysis
Budget Summary
Detailed Personnel Costs
Note: Includes employer costs (benefits, taxes) estimated at 30% above base salary
Technology & Infrastructure Costs
Research & Testing Costs
ROI Analysis
Expected Benefits (Year 1)
Revenue Increase: 20% growth = ~$400,000 Cost Savings: 30% reduction in support tickets = ~$50,000 Efficiency Gains: 25% reduction in teacher onboarding time = ~$75,000 Total Expected Benefit: ~$525,000 Payback Period
Initial Investment: $523,250 Expected Annual Benefit: $525,000 Payback Period: ~12 months Budget Confidence Levels
Personnel Costs: ±5% (High confidence) Technology Costs: ±15% (Medium confidence) Research Costs: ±10% (High confidence) Overall Budget: ±10% ($470,925 - $575,575) Risk Assessment & Mitigation
Risk Register
Mitigation Strategies Detail
1. Timeline Risk Mitigation
MVP Approach: Launch with P0 features only Phased Rollout: 10% → 25% → 50% → 100% over 4 weeks Feature Flags: Enable/disable features without deployment Weekly Reviews: Early identification of delays 2. Budget Risk Mitigation
Change Control Board: Review all scope changes Monthly Budget Reviews: Track burn rate Vendor Negotiations: Lock in rates early Resource Flexibility: Mix of FTE and contractors 3. User Adoption Risk Mitigation
Beta Program: 50 teachers, 500 students Training Materials: Videos, guides, webinars Feedback Loops: Weekly surveys during beta Champion Program: Early adopter incentives 4. Technical Risk Mitigation
Code Reviews: Mandatory for all changes Automated Testing: 80% code coverage target Performance Budgets: Set and monitor limits Technical Spikes: Research before implementation Contingency Plans
Scenario 1: 4-Week Delay
Reduce scope to P0 features only Increase team size for critical path items Consider November 1 beta launch Scenario 2: 20% Budget Overrun
Defer P1 features to Phase 2 Negotiate payment terms with vendors Seek additional funding approval Scenario 3: Poor Beta Reception
Extended beta period (4 weeks) Rapid iteration on feedback Consider design pivot if necessary