QA360 - Sell Project

QA360 is a comprehensive desktop platform built for employers, quality assurance teams, and operations leaders to monitor, score, and improve quality performance across teams, processes, or departments. Designed using Electron (Node.js + React), it provides a unified interface for auditing, analytics, scoring, and reporting, blending automation, AI insights, and human feedback to help organizations ensure consistent service and product quality. The app is suitable for: Call centers & BPOs Manufacturing & logistics Healthcare or compliance-based teams Service operations with QA review processes ⚙️ Core Description QA360 centralizes quality operations by collecting and visualizing quality scores, audits, incidents, and performance metrics in real time. Its AI-assisted scoring and predictive insights reduce human bias, while automated reporting and dashboards simplify oversight. The goal is to replace disjointed spreadsheets, manual scoring sheets, and scattered QA documentation with a single source of truth for all quality-related data. 🚀 Key Features & Capabilities 1. Role-Based Login & Dashboard Access Multi-user system with secure authentication (JWT). Role types: Admin: full access, settings, and reporting. Manager: view dashboards, approve audits, and assign reviewers. QA Agent: perform audits, submit evaluations, log incidents. Optional two-factor authentication. 2. Real-Time Quality Dashboard Purpose: Give leadership instant visibility into the organization’s QA health. Functions: Displays KPI cards (e.g., Average QA Score, Defect Rate, MTTR). Interactive charts for quality trends over time. Drill-down view by team, product, or location. Visualized metrics with Recharts/Chart.js: line, bar, pie, and heatmap visualizations. Example Widgets: “Top Performing Teams” “Frequent Incident Categories” “Quality Trends by Date Range” 3. QA Scoring Engine (Manual + AI-assisted) Purpose: Standardize evaluation scoring across reviewers and audits. Functions: Create custom QA scorecards (with weighted metrics). Support for auto-calculated scores based on inputs (accuracy, timeliness, compliance). AI scoring assistant analyzes notes to suggest final ratings. “Consistency Checker” ensures calibration across auditors. Save and edit past evaluations with version control. Example Use Case: Agent: John Doe Metrics: Accuracy 92%, Timeliness 80%, Compliance 100% Calculated Score = 0.492 + 0.380 + 0.3100 = 90.44. Incident & Defect Management Purpose: Capture, categorize, and track quality issues from discovery to resolution. Functions: Log incidents with metadata (severity, type, team, description). Auto-link related incidents by keyword or team. Incident lifecycle: Open → In Progress → Resolved → Verified. Visual dashboards for incident frequency and recurrence. Predictive “Hotspot Alerts” – highlights recurring defect sources. 5. Audit & Compliance Tracker Purpose: Automate recurring quality audits and ensure regulatory compliance. Functions: Create custom audit checklists. Assign audits to teams or individuals. Track completion status, overdue audits, and compliance scores. Auto-generated audit summary PDFs. Integration with external compliance systems (via API). 6. AI-Driven Analytics & Predictions Purpose: Provide predictive insights for decision-making. Functions: Machine learning model (TensorFlow.js) detects quality volatility. Forecasts performance dips or emerging risk areas. Suggests corrective actions (“Re-train Team B”, “Increase sampling rate”). Detects anomalies when QA variance exceeds configured thresholds. 7. Custom Reports & Exporting Purpose: Simplify data sharing and executive reporting. Functions: Auto-generate PDF, CSV, or Excel summaries of QA data. Include charts, team comparisons, and improvement recommendations. Scheduled report generation (daily, weekly, monthly). Custom templates for client or audit board submissions. 8. Notifications & Alerts Purpose: Ensure timely follow-up and awareness. Functions: System tray notifications for QA anomalies. Email/SMS alerts for overdue audits or high-severity defects. Configurable thresholds (e.g., “Alert if average QA score < 85%”). Integration with Slack or Teams for instant notifications. 9. Integration Layer Purpose: Seamlessly blend into existing business systems. Supported Integrations: CRM/ERP (Salesforce, Zoho, HubSpot) – to sync employee or process data. HR systems – to associate QA data with employee profiles. Ticketing tools (Jira, Zendesk) – to log incidents automatically. APIs for custom connections – REST or WebSocket. 10. Data Storage & Security Purpose: Protect QA data while enabling local and hybrid storage. Functions: Local SQLite database (AES-256 encrypted). Optional cloud sync for multi-device data continuity. Encrypted export files (PDFs with password). Audit log for every modification (user, timestamp, change summary). Auto-backups with rollback capability. 🧮 Analytical Metrics & KPIs CategoryMetricsQualityAverage QA Score, Error Rate,...