Remote Work Productivity Dataset

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Remote Work Productivity Dataset

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Remote Work Productivity Dataset

Use Case

Remote Work Productivity Dataset

Description

Explore our detailed synthetic dataset on remote and in-office work productivity, work hours, and well-being indicators.

Description:

This dataset contains comprehensive synthetic data on productivity metrics, work hours, and well-being indicators for both remote and in-office workers. It offers insights into how different work settings affect employee performance, stress, and overall satisfaction.

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Dataset Overview

The dataset covers several key factors, including productivity rates, time spent on tasks, work-life balance, and mental health indicators. It also measures the flexibility of remote work against the structure of office environments.

Key Features

Productivity Metrics: Daily task completion rates, productivity trends, and efficiency metrics.
Well-being Indicators: Mental health data, stress levels, and job satisfaction scores.
Work-life Balance: Analysis of flexible hours, overtime, and breaks during work.

Application

This dataset is ideal for research on remote work policies, organizational behavior, and productivity management. It provides a foundation for understanding how remote work influences performance and well-being.