1. MVP Objective
Develop in Bubble an advanced analytics platform that enables companies to identify burnout patterns and absenteeism risks through predictive diagnostics, AI-driven sentiment analysis, and employee self-assessment tools. The system will provide real-time insights and proactive recommendations to support workplace well-being.
2. Key Features
2.1. Predictive Diagnosis
Data Collection:
Manual input:
Work absence history (dates, duration, reason).
Self-reported workload levels and stress indicators.
Integration with external sources:
Wearables (smartwatches, fitness bands) to collect heart rate variability, sleep patterns, and daily activity.
Email communication analysis (Gmail, Outlook) to assess volume, response time, and tone using AI-based sentiment analysis.
Integration with HR management platforms (e.g., Workday, BambooHR) to fetch work schedules and performance reviews.
Predictive Analysis:
Machine learning models to identify correlations between absenteeism, workload, and employee well-being.
Classification of work absences into "legitimate," "potential burnout risk," or "suspicious absenteeism."
Risk scoring algorithm based on historical data, real-time employee behaviors, and external stress indicators.
2.2. Self-Assessment Journal
Private digital journal for employees to log daily thoughts and reflections.
AI-based semantic analysis to detect emotional trends (e.g., stress, anxiety, disengagement, optimism).
Optional daily prompts to encourage structured self-reflection on stressors, work satisfaction, and personal well-being.
Sentiment trend tracking with visualization over time to help employees recognize patterns in their mental health.
Employees can choose whether to share aggregated emotional data with HR for tailored well-being interventions.
2.3. Interactive Dashboard
Data Visualization:
Trend graphs displaying emotional state fluctuations, workload distributions, and patterns of absenteeism.
Department-level comparisons highlighting stress hotspots within the organization.
Heatmaps showing burnout risk distribution across different teams and job functions.
Automatic Alerts:
Real-time alerts triggered when an employee exhibits multiple burnout risk factors.
Recommendations for HR or managers to take preemptive action (e.g., workload adjustments, wellness programs, direct check-ins with employees).
Option for HR to configure personalized alert thresholds based on organizational policies.
2.4. Privacy and Consent
All data collection is opt-in, ensuring 100% voluntary participation.
Strict data anonymization and encryption for privacy compliance (GDPR, CCPA).
Employees can control which insights they share with HR, ensuring transparency and trust.
Ideal Skills:
- Extensive experience in Bubble
- Extensive experience in web application development.
- Prior work with data analysis platforms is highly desirable.
- A strong understanding of user interface design, particularly for HR and employee-friendly platforms.
- Experience with data security and privacy measures.
Hello,
I understand that you need a platform to analyze workplace stress and burnout, using advanced analytics features in Bubble. My approach will be to develop a user-friendly application that collects and analyzes various data points, including self-reported metrics and wearable integration. This platform will provide predictive diagnostics to help companies identify burnout patterns and absenteeism risks.
I will focus on creating an intuitive interactive dashboard that visualizes emotional trends, workload levels, and absenteeism patterns. I aim to ensure data privacy by implementing strict anonymization processes. My experience in web application development and data analysis will ensure the delivery of a robust solution that meets your needs.
What specific machine learning models do you envision for the predictive analysis component of the platform?
Thanks,
Muhammad Awais
Hello Francesc Q. Hope you are doing well!
This is Efan , I checked your project detail carefully.
I am pretty much experienced with Software Architecture, Bubble Developer, Statistics and Algorithm for over 8 years, I can update you shortly.
Cheers
Efan
Hello Francesc,
I am interested in helping you with the development of an advanced analytics platform on Bubble that addresses workplace stress and burnout. With extensive experience in web application development and a strong grasp of predictive diagnostics, I am well-equipped to implement the key features you outlined, such as predictive diagnosis and interactive dashboards. My background in data analysis and user interface design ensures that the platform will be user-friendly for both employees and HR, promoting better workplace well-being.
Moreover, I understand the importance of privacy and consent in handling sensitive employee data. I will ensure that the platform complies with GDPR and CCPA requirements, incorporating robust data security measures. My approach will focus on delivering real-time insights and proactive recommendations, empowering companies to tackle absenteeism risks effectively.
Thanks,
Wilson
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Hello Francesc,
I am excited about the opportunity to develop an advanced analytics platform in Bubble that focuses on workplace stress and burnout analysis. With my extensive experience in web application development and a solid understanding of data analytics, I can deliver a robust solution tailored to your project needs.
My background includes working on similar platforms, allowing me to integrate predictive diagnostics and AI-driven sentiment analysis effectively. I prioritize user interface design to ensure a seamless experience for employees, and I am committed to implementing stringent data security measures for privacy compliance.
I can deliver high-quality work in a short time frame and at a budget-friendly rate. I would love to discuss this project in detail over chat.
What specific functionalities do you envision for the interactive dashboard, and are there any preferred integrations or additional features you would like to discuss?
Thanks,
Nenad
Hi,
I went through your project description and it seems like I am a great fit for this job.
I am a fullstack and AI developer with 7 years of experience on Algorithm, Software Architecture, Statistics, Bubble Developer
Lets connect in chat so that We discuss further.
Regards
Hello Francesc Q.,
I noticed your job posting and was excited to see you’re looking for expertise in Software Architecture, Algorithm, Statistics and Bubble Developer. With a proven track record of delivering top-notch results, I’m confident in my ability to exceed your expectations.
Before we dive in, here are a few questions to better understand your needs:
1. Are there specific design or functionality preferences for this project?
2. Do you have a preferred timeline or any key milestones in mind?
3. Would this project involve integrating existing assets or building everything from scratch?
Why choose me?
- Over 250 projects completed with exceptional client feedback.
- Full-time availability to ensure seamless collaboration.
- Expertise in specific tools/tech stacks to deliver outstanding results.
Portfolio will be provided over chat
I’d love to hear more about your project and discuss how I can bring value to it. Let’s connect!
Regards,
Aroosa Q.
Hello Francesc Q.,
I would like to grab this opportunity and will work till you get 100% satisfied with my work.
As an experienced developer, I can complete your project with my relevant skills and experience in Algorithm, Software Architecture, Statistics, Bubble Developer.
Lets connect in chat so that We discuss further.
Regards
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Hi Francesc Q., I'm Stefan from Serbia. I've carefully read your project description and I'm confident I can complete it perfectly. I have 6 years of experience working on similar projects and I'm skilled in Algorithm, Statistics, Bubble Developer and Software Architecture.
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Thank you,
Stefan
I have thoroughly reviewed the project requirements for the Workplace Stress and Burnout Analysis Platform. With over 4.2 years of expertise in Bubble development, I assure you of delivering a high-quality solution that meets your expectations. Let's discuss how we can bring this project to life, Francesc Q. Looking forward to collaborating on this innovative project.