Terap HR Copilot – MVP
Budget: €250 – €750 EUR
Project Overview
Terap HR Copilot is an AI-powered HR tool designed to help companies:
Detect burnout and emotional risks early.
Analyze and manage absenteeism patterns.
Foster a culture of recognition and peer support.
The MVP will deliver a web-based platform for HR teams with AI analysis, visual dashboards, employee self-check-ins, and a recognition system (“Terap Achievers”).
1. Core Features
1.1 Absence Pattern Analyzer
Upload CSV of absence logs (manual or via form).
Display:
Total absences per employee.
Absence frequency patterns (e.g., Fridays, post-leave, etc.).
Generate:
Risk score per employee.
Absence calendar heatmap.
Alert HR if thresholds are crossed.
1.2 Burnout Risk Detection via Weekly Check-ins
Weekly form with:
5 Likert-scale questions (mood, stress, energy).
Optional free-text input (“How are you feeling this week?”)
NLP model extracts emotional tone from free-text.
Score calculation:
Sentiment trend (2+ weeks of negative tone triggers alert).
Weighted burnout score saved in employee profile.
1.3 Personalized Action Recommender
Based on burnout or absence risk:
Suggest 1:1s, coaching, time-off, or check-ins.
Recommender adapts per employee’s department and history.
Admin can manage/edit suggestion bank.
1.4 HR Insights Dashboard
Admin login.
View by:
Employees (with burnout/absence/recognition score)
Teams/departments (with risk heatmaps)
Time filters (weekly, monthly)
Alerts module: list of flagged employees with suggested actions.
2. Terap Achievers – Peer Recognition System
2.1 Give Compliments
Any employee can send a compliment to a peer via:
Web dashboard
Optional Slack integration
Fields:
Recipient (search)
Message
Tag (select from list: e.g., Empathy, Teamwork, Creativity)
Visibility: public or private
2.2 Recognition Feed
Display public recognitions:
Filters: department, tag, date
Reactions: emojis or upvotes (optional)
Default sort: newest first
2.3 Employee Profile Integration
Each employee sees:
Number of recognitions received
Most frequent tags
Compliments received (if public or directed)
Data export (for HR reviews)
2.4 HR View
Recognitions by team/department.
Recognition distribution (who receives vs. who gives).
Alerts: employees not recognized in X weeks.
3. Architecture Overview
Frontend
Platform: Bubble.io or Softr
Pages:
Login
Dashboard (HR/admin)
Employee profile view
Check-in form
Recognition feed
Alerts and suggestions
Backend
Logic + DB: Xano (or Bubble DB)
Data Models:
User (id, email, role, team)
Employee (linked to user, burnout_score, absence_score, recognition_score)
AbsenceLog (employee_id, date, reason)
CheckIn (employee_id, date, responses, sentiment)
Recognition (sender_id, recipient_id, tag, message, date, visibility)
AI Integrations
Sentiment/emotion analysis: OpenAI GPT-4 or Cohere
Processing free text from check-ins
Optional: future GPT model for generating appreciation tag suggestions
4. Tech Stack Summary
Component Tool/Tech
Frontend Bubble.io / Softr
Backend/API Xano / Backendless
AI Text Analysis OpenAI GPT-4 / Cohere
Charts Chart.js / Bubble plugins
Auth Bubble built-in or Google OAuth
Storage Bubble DB / Xano
Optional Comms Slack SDK (Phase 2)
5. User Roles
HR/Admin: Full access to all modules + analytics.
Manager: View team-only reports and recognitions.
Employee: Submit check-ins, send/receive recognitions.
6. Security & Compliance
GDPR-compliant storage and encryption.
All free text anonymized for analysis.
Role-based access.
Activity logging for auditability.
Terap HR Copilot is an AI-powered HR tool designed to help companies:
Detect burnout and emotional risks early.
Analyze and manage absenteeism patterns.
Foster a culture of recognition and peer support.
The MVP will deliver a web-based platform for HR teams with AI analysis, visual dashboards, employee self-check-ins, and a recognition system (“Terap Achievers”).
1. Core Features
1.1 Absence Pattern Analyzer
Upload CSV of absence logs (manual or via form).
Display:
Total absences per employee.
Absence frequency patterns (e.g., Fridays, post-leave, etc.).
Generate:
Risk score per employee.
Absence calendar heatmap.
Alert HR if thresholds are crossed.
1.2 Burnout Risk Detection via Weekly Check-ins
Weekly form with:
5 Likert-scale questions (mood, stress, energy).
Optional free-text input (“How are you feeling this week?”)
NLP model extracts emotional tone from free-text.
Score calculation:
Sentiment trend (2+ weeks of negative tone triggers alert).
Weighted burnout score saved in employee profile.
1.3 Personalized Action Recommender
Based on burnout or absence risk:
Suggest 1:1s, coaching, time-off, or check-ins.
Recommender adapts per employee’s department and history.
Admin can manage/edit suggestion bank.
1.4 HR Insights Dashboard
Admin login.
View by:
Employees (with burnout/absence/recognition score)
Teams/departments (with risk heatmaps)
Time filters (weekly, monthly)
Alerts module: list of flagged employees with suggested actions.
2. Terap Achievers – Peer Recognition System
2.1 Give Compliments
Any employee can send a compliment to a peer via:
Web dashboard
Optional Slack integration
Fields:
Recipient (search)
Message
Tag (select from list: e.g., Empathy, Teamwork, Creativity)
Visibility: public or private
2.2 Recognition Feed
Display public recognitions:
Filters: department, tag, date
Reactions: emojis or upvotes (optional)
Default sort: newest first
2.3 Employee Profile Integration
Each employee sees:
Number of recognitions received
Most frequent tags
Compliments received (if public or directed)
Data export (for HR reviews)
2.4 HR View
Recognitions by team/department.
Recognition distribution (who receives vs. who gives).
Alerts: employees not recognized in X weeks.
3. Architecture Overview
Frontend
Platform: Bubble.io or Softr
Pages:
Login
Dashboard (HR/admin)
Employee profile view
Check-in form
Recognition feed
Alerts and suggestions
Backend
Logic + DB: Xano (or Bubble DB)
Data Models:
User (id, email, role, team)
Employee (linked to user, burnout_score, absence_score, recognition_score)
AbsenceLog (employee_id, date, reason)
CheckIn (employee_id, date, responses, sentiment)
Recognition (sender_id, recipient_id, tag, message, date, visibility)
AI Integrations
Sentiment/emotion analysis: OpenAI GPT-4 or Cohere
Processing free text from check-ins
Optional: future GPT model for generating appreciation tag suggestions
4. Tech Stack Summary
Component Tool/Tech
Frontend Bubble.io / Softr
Backend/API Xano / Backendless
AI Text Analysis OpenAI GPT-4 / Cohere
Charts Chart.js / Bubble plugins
Auth Bubble built-in or Google OAuth
Storage Bubble DB / Xano
Optional Comms Slack SDK (Phase 2)
5. User Roles
HR/Admin: Full access to all modules + analytics.
Manager: View team-only reports and recognitions.
Employee: Submit check-ins, send/receive recognitions.
6. Security & Compliance
GDPR-compliant storage and encryption.
All free text anonymized for analysis.
Role-based access.
Activity logging for auditability.