Fit4fuN- Dashboard

- Premium bonus of 5 EUR if the delivery of the project is within a week SUMMARY OF OUR GOALS: Project We have an app that provides a link between coaches and clients. We need to develop a dashboard to monitor the coaches data for our internal control purpose. The dashboard will have to extract KPIs and analytics based on existing operating data. For the coach- dashboard: - Coaches only - Movement data monitoring - Goals creation and monitoring - Client check-ups and appointments management QUALITY CONTROL PROJECT - tech requirements Front-end: - Single Page Application (SPA) - Framework: React + Tailwind - Charting library: Recharts or Victory Back-end: - based on REST APIs or GraphQL - language: Python or NodeJS or Golang Database: - MongoDB QUALITY CONTROL PROJECT - data Sources: - Video calls data (start time, end time, participants) - Chat data (first client message time, first coach response time, conversation messages, participants)* *We consider the first response from the coach as the moment when the client’s problem is resolved. OUTPUT KPIS AND ANALYTICS Filters: - All stats should be filterable by coach and by client - Time slot (e.g. month) Histograms (e.g. over a one month period): - Number of calls, - Call duration distribution, - Number of chats, - First message to first response time distribution - Satisfaction (5 star system) Top 10 charts: - Most calling coaches and clients, - Most chatting coaches and clients Multiple variable statistics (e.g. line charts): - Chat time and satisfaction - Call time and satisfaction Platform authentication user and password authentication using the dashboard KPIs SPECIFICATIONS (e.g. detailed formulas) Call duration → Time at which the call finished minus the time at which the call started. Measured in minutes. Call trends → Mean call duration trends. Chat trends → Mean chat duration. Info about coaches and clients → Most calling coaches and clients. Filters → All stats should be filterable to see the data at aggregated level: - by coach - by client - by time slot (e.g. monthly review of the data in order to filter the data in one specific month).