# Project Blueprint ## Project Name LUMENGRID ## Project Type AI-Powered Home Energy Intelligence Platform. ## Classification SELF-INITIATED CONCEPT PROJECT. This project must be presented publicly as: CONCEPTUAL PRODUCT DESIGN WORK. No real client relationship is implied. --- # 1. Portfolio Objective Demonstrate: mobile product design information architecture data visualization AI interaction design design-system thinking accessible interfaces motion and: complex information simplification. --- # 2. Project Hook "Understand where your home's energy goes before the bill arrives." LumenGrid transforms: complex household energy data into: clear daily decisions. --- # 3. Design Problem Smart-home energy platforms often expose: large volumes of data without clearly answering: What changed? Why did it change? What should I do about it? The design challenge is therefore not merely: displaying consumption. It is: turning consumption into understandable action. --- # 4. Primary Audience ## Primary User Homeowner or long-term renter using: smart meter solar system smart appliances or: connected energy devices. ## User State Moderate interest in: saving money reducing waste or: understanding consumption, but: not an energy expert. ## Secondary User Advanced user who wants: device-level analysis solar production battery status and: historical comparisons. --- # 5. Simulated Client Request SIMULATED CLIENT BRIEF Project: Design a mobile-first energy intelligence product that helps households understand, predict and reduce energy consumption without requiring technical expertise. Primary goals: - make energy data understandable - highlight abnormal usage - explain likely causes - help users identify practical actions - support solar and battery households - provide AI-assisted interpretation - maintain user control over recommendations. Core functions: - household overview - real-time / recent consumption - usage trends - device categories - cost estimate - solar generation - battery status - alerts - AI energy assistant - recommendations - monthly report. Deliverables: - product architecture - primary flows - wireframe direction - mobile UI - key tablet / desktop dashboard adaptation - reusable design system - interactive prototype - accessibility notes - motion concept - portfolio presentation. Constraints: - must work for non-technical users - must not imply that AI explanations are certain when evidence is incomplete - cost estimates must be visually distinguished from finalized utility charges - color cannot be the only means of communicating energy status. Success criteria for the concept: - core tasks are understandable - primary information is prioritized - data visualizations support decisions - AI outputs communicate uncertainty - interface demonstrates accessible states - system can scale across multiple household configurations. --- # 6. Known / Assumed / To Confirm ## Known Product concept: home energy intelligence. Primary platform: mobile. Portfolio requirements: data visualization, AI, accessibility, design system. ## Assumed for Concept Smart-meter data is available. Optional solar / battery integrations exist. Users can view device categories. ## To Confirm in a Real Project Utility integrations. Meter refresh frequency. Tariff rules. Device detection reliability. Solar / battery APIs. Legal requirements. Privacy model. --- # 7. Methodology Recommended: DOUBLE DIAMOND + JOBS TO BE DONE + LEAN VALIDATION. Why: The product contains: broad problem discovery plus: specific behavior / progress questions and: multiple high-risk assumptions. --- # 8. Phase 1 - Discover Research questions: - What energy information do households actually understand? - Which information currently causes confusion? - What moments trigger people to inspect energy usage? - What decisions can users realistically make? - How do solar households differ? - What type of alert feels useful rather than alarming? - When would AI explanation be trusted? Because this is a concept project: do not claim: interviews occurred. Create: RESEARCH PLAN. --- # 9. Research Plan ## Method A - User Interviews Hypothetical participant profiles: homeowners with standard utility account solar homeowners renters with smart meters budget-conscious households. Research focus: mental models billing anxiety energy vocabulary alert tolerance trust in recommendations. ## Method B - Competitive Review Compare: utility apps smart-home dashboards solar apps energy-monitoring devices. Evaluate: overview visualization recommendations alerts trust data density. ## Method C - Concept Testing Test: overview hierarchy AI explanation recommendation cards abnormal-usage alert. Status: `UNVERIFIED_RESEARCH` because: research has not actually been conducted. --- # 10. Jobs to Be Done ## Core Job WHEN: I notice my bill increasing or want to control household energy, I WANT TO: understand what is consuming energy and why, SO I CAN: make practical changes without becoming an energy expert. ## Secondary Job WHEN: my household consumption behaves unusually, I WANT TO: know whether something requires attention, SO I CAN: act before costs accumulate. ## Solar Household Job WHEN: my solar system is generating energy, I WANT TO: understand production, consumption and battery behavior together, SO I CAN: use more of my own generated energy efficiently. --- # 11. Information Architecture Primary navigation: HOME INSIGHTS ASSISTANT DEVICES PROFILE. ## Home Current status Today's consumption Estimated cost Solar / battery Important alert Quick insight. ## Insights Daily Weekly Monthly Comparisons Patterns Recommendations. ## Assistant Ask a question Suggested questions Explanation history Recommendation follow-up. ## Devices Categories Individual device Consumption Status History. ## Profile Home configuration Tariff Integrations Notifications Accessibility Privacy. --- # 12. Core User Flow A - Understand Today's Usage HOME → Today's Consumption → Category Breakdown → Select Category → View Trend → Receive Explanation → Optional Recommendation → Action / Save. SUCCESS: user understands: what changed and: what can be done next. --- # 13. Core User Flow B - Abnormal Usage Alert ALERT → Summary → Explain Difference → Possible Causes → Confidence Indicator → Inspect Device / Category → Recommendation → Dismiss / Monitor / Create Reminder. Error / uncertainty state: "Cause cannot be confidently identified." Do not present: AI inference as: fact. --- # 14. Core User Flow C - Ask the AI Assistant ASSISTANT → Suggested Question / User Prompt → Processing State → Response → Source Context → Confidence / Limitation → Recommended Action → Save → Ask Follow-Up. --- # 15. Core Screen Inventory 1. Onboarding 2. Home setup 3. Integration setup 4. Home overview 5. Today's energy 6. Cost estimate 7. Consumption timeline 8. Category breakdown 9. Device detail 10. Weekly comparison 11. Monthly report 12. Solar overview 13. Battery overview 14. Abnormal usage alert 15. Alert explanation 16. Recommendations 17. AI assistant home 18. AI conversation 19. AI uncertainty state 20. Saved insight 21. Notification settings 22. Accessibility settings 23. Privacy controls 24. Empty / disconnected integration state. `COUNT_VERIFIED` 24 core screens. --- # 16. Data Visualization Strategy Use: LINE CHART: time-based consumption. STACKED BAR: category composition. COMPARISON BAR: today vs typical day. AREA / DUAL SERIES: solar generation vs home consumption. STATUS CARD: battery level. Do not use: pie charts by default when: precise comparison matters. --- # 17. Visual Direction Design personality: CALM INTELLIGENT TRUSTWORTHY ENVIRONMENTALLY AWARE NON-TECHNICAL. Visual concept: "Energy as a living flow." Use: soft dark neutrals warm off-white surfaces electric lime / yellow-green energy accent cool blue solar accent subtle gradients rounded analytical cards high-contrast data labels. Avoid: generic neon cyberpunk AI styling. --- # 18. Typography Primary: clean modern sans serif. Hierarchy: Display: large summary figure. H1: screen title. H2: section. Body: explanation. Label: metrics. Numeric: tabular numerals where useful. --- # 19. Design System Foundations COLOR TYPOGRAPHY SPACING GRID RADIUS ELEVATION DATA COLORS MOTION ICONOGRAPHY. --- # 20. Core Components Energy Summary Card Trend Chart Comparison Card Alert Card Recommendation Card Device Row Battery Widget Solar Widget AI Response Card Confidence Indicator Bottom Navigation Filter Chips Date Selector Toast Modal Empty State. --- # 21. States Every interactive component should consider: DEFAULT PRESSED FOCUS DISABLED LOADING ERROR EMPTY SELECTED. --- # 22. AI Interaction Logic The AI assistant must distinguish: OBSERVED DATA INFERENCE RECOMMENDATION. Example: Observed: "Your 6-9 PM consumption was 31% higher than your recent evening baseline." Inference: "Heating may have contributed, but device-level confirmation is unavailable." Recommendation: "Review heating activity or connected thermostat data." Do not fabricate: certainty. --- # 23. Accessibility Ensure: high text contrast color-independent chart labeling large touch targets screen-reader chart summaries visible focus states reduced-motion option clear error text plain-language energy terminology. --- # 24. Responsive Strategy Mobile: decision-first cards. Tablet: side-by-side insights. Desktop: multi-panel analytical dashboard. Do not: simply enlarge: the mobile screen. --- # 25. Motion Opportunities ## Energy Flow Subtle directional animation showing: GRID SOLAR BATTERY HOME. ## Chart Transition Animate: time-period changes. ## Al