Sunday, March 29, 2026

📑 Developer Notes: Carestify.ca Dashboard & Logic Optimization

 

📑 Developer Notes: Carestify.ca Dashboard & Logic Optimization

Date: March 29, 2026 Focus: Data Accuracy, UI/UX Refinement, and Mobile Optimization


1. Depreciation Curve Logic Refinement

  • Dynamic X-Axis Positioning: Re-engineered the timeline logic to fix the "Current (Mar 2026)" marker at the horizontal center (50%) of the chart.

  • Temporal Compression: Implemented a non-linear scale where historical data (New to Current) is compressed on the left, while the future 3-year forecast is expanded on the right to emphasize predictive insights.

  • Value Decay Realism: Adjusted the forecasting algorithm to ensure a natural downward slope for older models (e.g., 2018-2019), moving away from unrealistic "flat" value plateaus.

2. Strategic Data Visualization (Minimalist Approach)

  • Agnostic Value Flow: Removed absolute MSRP and Y-axis price labels to prioritize "Relative Value Flow." This shifts the user focus from potentially volatile MSRP data to the overall asset-value trend and timing.

  • Visual Anchoring: Added vertical dashed guide lines at the Current Position and the Optimal Sale Timing (Star Icon) to provide clear, actionable milestones for the user.

  • Optimal Sale Indicator: Integrated a "Star" (⭐) marker on the curve to highlight the peak window for resale value before accelerated depreciation kicks in.

3. Mobile UI/UX & Ticker Optimization

  • Recent Validations Ticker: Resolved a text-clashing issue on mobile devices where price ranges were overlapping due to limited screen width.

  • Price Simplification: Refactored the data output from a range (Min-Max) to a single Estimated Average (Est. CAD XXX) for the live ticker.

  • Responsive Alignment: Optimized grid spacing and font scaling for the "Live Valuation Dashboard" to ensure clean legibility on all Canadian mobile networks.


4. Data Integrity & Matching Engine (WIP)

  • Strict Trim Matching: Initiated the transition toward a [Year + Make + Model + Trim] exact-match query to prevent high-performance trim MSRPs (e.g., Hellcat, Shelby) from being assigned to base-model reports.

  • Fallback Logic: Implemented a "Base-Trim Fallback" rule where the system defaults to the lowest entry-level MSRP if a specific trim price is unavailable, preventing inflated valuation anchors.


Summary: Today's sprint successfully transitioned the platform from a "data-heavy" display to an "insight-driven" dashboard, significantly improving the credibility of the reports for the end-user.

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