info@monitoo.com
info@monitoo.com
Productivity
06 de November de 2026 - 17h11m
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Knowing how to measure employee productivity is one of the most important challenges for business owners, managers, and HR professionals. And this doesn't only apply to remote workers. Even in an office environment, seeing employees sitting at their desks doesn't necessarily mean you know how they are spending their working hours.
Being present is not the same as being productive.
The answer is simple: to measure productivity, you need to compare the results employees achieve with the time and resources they use to achieve them, while considering clear and well-defined goals.
To do this effectively, you should analyze three main factors: results (what has been delivered), time (how long it took), and quality (whether the results meet expectations). None of these indicators tells the whole story on its own.
In this guide, you'll learn what employee productivity really means, which metrics you should track, how to start measuring performance, the differences between in-office, remote, and hybrid work, what to consider regarding employee monitoring regulations, and the most common mistakes businesses make.
You'll also discover how Monitoo can help you bring this information together in one dashboard.
What Employee Productivity Is and What It Isn't
Why Measuring Employee Productivity Matters
How to Measure Employee Productivity Step by Step
How to Calculate Employee Productivity
The Most Important Employee Productivity Metrics
The Four Pillars of Workplace Productivity
How to Measure Productivity in an Office
How to Measure Remote and Hybrid Employee Productivity
How to Know Whether an Employee Is Working on Their Computer
Can Employers Monitor Employees' Computers?
Common Employee Productivity Measurement Mistakes
Tools for Measuring Employee Productivity
How to Turn Productivity Data into Action
Practical Productivity Examples by Department
Signs Your Team's Productivity Is Declining
How to Measure Productivity with Artificial Intelligence
How to Give Productivity Feedback Without Demotivating Employees
Productivity and Working Hours
How to Implement a Productivity Measurement System in 30 Days
How Monitoo Helps Measure Employee Productivity
Employee Productivity Checklist
Frequently Asked Questions
Productivity is the relationship between the results achieved and the resources used to achieve them. In most businesses, one of the most important resources is time.
That's why the main question is: how much of your employees' working time is actually converted into results?
It sounds simple, but three common misconceptions make productivity management more difficult.
An employee can arrive on time, leave at the end of the day, and spend the entire shift sitting in front of a computer. This demonstrates attendance, but not necessarily productivity.
For years, companies evaluated work based on what they could physically observe: who arrived first, who stayed late, and who appeared to be the busiest.
The problem is that looking busy doesn't necessarily mean producing results.
Some employees achieve excellent results in less time, while others spend hours working but lose valuable time in unnecessary meetings, inefficient processes, or poorly organized tasks.
Clicking, typing, and opening applications are activities. They can provide useful signals, but they don't necessarily represent results.
For example, a sales representative might spend an entire morning using a CRM system without closing a single deal. Another employee might spend less time on the system and successfully close three contracts.
Activity data shows how time is being used. Results show what is being achieved.
To evaluate productivity accurately, you need to analyze both.
Working longer hours doesn't guarantee better results. In many cases, it leads to fatigue, mistakes, and additional work.
A productive company isn't one that makes employees work more hours. It's one that organizes resources more effectively.
The goal should be to achieve better results without unnecessarily increasing working hours.
Two concepts help explain productivity:
Effectiveness: achieving the right objectives and delivering what matters to the company and its customers.
Efficiency: completing tasks correctly while using as little time and as few resources as possible.
A team can be highly efficient at completing tasks that generate little value. It can also achieve good results while wasting too much time along the way.
That's why measuring productivity means looking at both efficiency and effectiveness.
Because without data, decisions are based on opinions.
When a manager says the team is working more slowly and employees respond that they have too much work, both sides may be right.
The team might be busy with tasks that don't generate meaningful results, or employees might be facing obstacles that management hasn't identified.
Measuring productivity helps businesses understand what's happening and identify opportunities for improvement.
It also helps companies:
Distribute tasks more effectively and prevent employee overload.
Identify problems in internal processes.
Recognize employees who consistently achieve good results.
Plan new hires based on actual business needs.
Monitor overtime and working hours.
Improve team organization.
Make decisions based on data instead of assumptions.
Measuring productivity has always been important, but changes in the way people work have made it even more necessary.
Many companies have returned to in-office work or adopted hybrid arrangements.
This means some employees work from the office while others work from home, sometimes within the same team.
The challenge for managers is ensuring that everyone is evaluated using consistent criteria.
Observing employees in the office while relying exclusively on digital monitoring for remote workers can create inconsistencies.
An effective measurement strategy should work regardless of where employees perform their tasks.
Monitoring workplace activities has become increasingly common.
Businesses need to understand how employees use their time, which tools they rely on, and where opportunities for improvement exist.
However, employee monitoring must be implemented transparently and with respect for privacy.
Artificial intelligence has transformed many professional activities.
Tasks that previously required several hours can now be completed in minutes using AI tools.
This creates new questions for team managers:
Which employees are using AI tools?
Which applications are used most frequently?
How much time is being saved?
Is the time saved translating into better results?
Is the company making the most of these technologies?
Tracking these factors helps businesses understand how workplace productivity is evolving.
Productivity is also closely connected to how working hours are organized.
Companies need to monitor working time, identify potential overtime issues, and prevent excessive workloads.
A team that achieves results by constantly working overtime may have an organizational problem.
That's why measuring productivity also means paying attention to working conditions.
This is one of the most common questions among business owners and team managers.
The good news is that you can start measuring productivity without implementing a complicated system.
Before measuring anything, you need to understand the expected results for each role.
For example:
A sales representative should generate leads and close deals.
A customer support agent should resolve requests and provide a positive customer experience.
A financial analyst should complete reports, reconciliations, and financial closings.
A developer should deliver features and fix bugs.
A designer should deliver approved creative assets.
Each position has different responsibilities. That's why you shouldn't use exactly the same performance indicators for everyone.
Select between two and four indicators for each role.
Ideally, combine:
One results-based metric.
One quality metric.
One time-based metric.
One additional metric related to the employee's specific responsibilities.
Avoid tracking too many indicators, as this can make performance analysis unnecessarily complicated.
Before setting targets, analyze how the team currently works.
Collect information about completed tasks, working time, and quality over several weeks.
These figures will serve as your baseline for establishing realistic goals.
Results don't tell the whole story.
If two employees resolve the same number of requests, but one takes twice as long, it's important to understand why.
There may be differences in task complexity, experience, available tools, or internal processes.
You can analyze working time using:
Time-tracking systems.
Project management platforms.
Activity reports.
Employee productivity monitoring software, such as Monitoo.
Once you have enough information, establish clear objectives.
Employees should understand what's expected of them and how their performance will be evaluated.
Goals should be specific, measurable, achievable, relevant, and time-bound.
Decide when you will review performance indicators.
A good approach is to review team metrics weekly and conduct a broader performance analysis monthly.
Consistency matters more than the number of meetings.
A decrease in a performance indicator doesn't automatically mean an employee is working less.
There may be issues with a tool, an increase in responsibilities, new tasks, or difficulties within a process.
Use data as a starting point for investigation.
In many cases, low productivity isn't caused by employees themselves but by the way work is organized.
Unnecessary meetings, slow approval processes, inefficient systems, and repetitive tasks can consume a significant portion of the working day.
Before demanding better results, make sure your team has the conditions and resources needed to perform effectively.
Productivity tracking shouldn't only be used to identify problems.
It should also help recognize employees who meet their goals, improve their performance, and contribute to the team's success.
Business needs change, and performance metrics should evolve accordingly.
Every quarter, review whether the indicators you're tracking are still relevant and whether they genuinely support better decisions.
Another common question is how to calculate productivity for individual employees.
There are different formulas depending on the type of work and the company's objectives.
The simplest formula is:
Productivity = Output ÷ Time Spent
For example, if an employee resolves 120 support requests in one month and works 160 hours, their productivity rate is 0.75 requests per hour.
This formula allows comparisons, provided the tasks have similar levels of complexity.
To evaluate overall business performance, you can use:
Revenue per Employee = Total Revenue ÷ Number of Employees
This metric helps track business growth, although it shouldn't be used as the only criterion for evaluating individual employees.
When much of the work happens on a computer, you can also analyze time spent on work-related activities.
Productive Time (%) = Time Spent on Work-Related Activities ÷ Total Working Time × 100
To use this formula correctly, you need to define which activities are considered productive for each role.
For example, social media might be a distraction for a financial analyst but an essential work tool for a marketing professional.
For positions with specific targets:
Goal Achievement (%) = Actual Result ÷ Target × 100
If an employee was expected to send 20 proposals and successfully sent 18, they achieved 90% of their target.
You can also analyze how much each completed task costs:
Cost per Output = Total Team Cost ÷ Number of Completed Outputs
This metric helps identify opportunities to improve processes and allocate resources more efficiently.
There isn't a single formula that works for every business.
Ideally, combine three perspectives:
Results achieved.
Time spent.
Quality of deliverables.
When all three indicators show positive progress, it's easier to identify genuine improvements in productivity.
Productivity metrics turn everyday activities into useful information for business management.
Here are some of the most important indicators to consider.
Completed tasks: number of tasks, projects, sales, or requests completed.
Goal achievement: percentage of objectives achieved.
On-time delivery rate: percentage of tasks completed by their deadlines.
Revenue per employee: relationship between company revenue and workforce size.
Rework rate: number of tasks that need corrections or must be completed again.
Customer satisfaction: evaluation of the customer experience.
Error rate: number of identified errors compared with total completed work.
Hours worked: total time recorded during the working period.
Active and idle time: how long employees actively use their computers compared with periods without activity.
Productive and unproductive time: distribution of time across different types of activities.
Meeting time: number of hours spent in meetings.
Task completion time: period between starting and finishing a task.
Overtime: number of hours worked beyond the established schedule.
Extended workdays: frequency with which employees exceed their regular working hours.
Weekend activity: work performed outside regular business days.
Schedule adherence: comparison between scheduled and actual working hours.
A good strategy is to select one results-based metric, one quality metric, and one time-based metric for each role.
This allows you to evaluate performance without creating unnecessarily complicated dashboards.
There isn't one universally accepted classification of productivity pillars. However, a practical way to understand workplace productivity is to analyze four fundamental elements.
Productivity starts with employees who are prepared, motivated, and have clearly defined responsibilities.
This includes training, experience, recognition, communication, and employee well-being.
Processes determine how work gets done within a company.
Too many approvals, repetitive tasks, and unnecessary steps can waste time and reduce efficiency.
Slow systems, disconnected software, and outdated computers can negatively affect productivity.
Technology should make work easier, not become another obstacle.
Clear objectives, communication, feedback, and well-organized meetings also have a direct impact on performance.
When productivity declines, it's important to analyze all four pillars before placing responsibility entirely on employees.
Many companies believe productivity measurement is more important for remote employees.
However, observing employees in the office doesn't mean you truly understand how they spend their working hours.
When managers evaluate their teams exclusively through what they can see, several problems can arise:
Employees who appear busy may receive more recognition than those who achieve better results.
Internal problems and bottlenecks can go unnoticed.
Maintaining consistent oversight becomes difficult in larger teams.
Unnecessary interruptions and meetings can consume a significant portion of the workday.
Some important indicators include:
Time spent in meetings.
Active and idle computer time.
Usage of work-related applications and tools.
Start and end times.
Time spent on productive activities.
Completed tasks and achieved objectives.
Explain to employees why monitoring is being introduced.
Communicate what information will be collected and how it will be used.
Start by analyzing overall team performance.
Allow employees to review their own indicators whenever possible.
Use the information to identify opportunities for improvement.
The goal isn't to monitor every movement. It's to understand how work is organized and where improvements can be made.
How can you monitor employees working from home?
The basic principles are the same as in an office: analyze results, time, and quality.
What changes is how you collect and evaluate the information.
Define objectives and deadlines in writing.
Use tools that automatically record work-related activity.
Monitor working hours to prevent excessive schedules.
Hold short meetings to organize priorities.
Schedule regular one-on-one conversations.
Analyze results, not just online availability.
Hybrid work combines the challenges of in-office and remote work.
That's why it's important to apply the same evaluation criteria to everyone.
A centralized dashboard makes it possible to analyze team performance regardless of where employees work.
You can also identify whether productivity patterns differ between office days and remote days.
Which days show the highest levels of work activity?
Are in-person meetings reducing the time available for actual work?
Are employees working outside their regular schedules?
How does time distribution change depending on the work location?
Answering these questions with data helps managers make more informed decisions.
One of the most common questions among team managers is how to know whether an employee is actually working on their computer.
There are different ways to do this, but each has limitations.
Asking employees directly: works well in small teams but depends on communication and individual memory.
Chat application status: appearing online doesn't necessarily mean someone is working.
Spreadsheets: require manual updates and can contain errors.
System activity history: only shows activity within a specific platform.
Specialized tools can automatically track how employees use their computers.
Depending on the software and configuration, they can provide information about:
Websites visited.
Applications used.
Active and idle time.
Productive and unproductive time distribution.
Activity schedules.
Productivity reports and charts.
Before choosing a solution, make sure it allows you to configure activities according to each role, respects employee privacy, and provides easy-to-understand information.
It's important to remember that active time doesn't automatically translate into good results.
An employee might spend several hours reading complex documents without generating many clicks. That's still work.
Computer activity data should therefore be analyzed alongside results and the context of each role.
This is one of the most important questions when a company decides to implement a productivity monitoring system.
The ability to monitor workplace devices depends on applicable legislation and how monitoring is carried out.
Computers and accounts provided by a company are work tools.
However, this doesn't mean employers can collect any type of information without limitations.
Monitoring should have a legitimate purpose and respect employee rights.
In Brazil, the General Data Protection Law (LGPD, Law No. 13,709/2018) establishes important principles for processing personal data.
These include:
Purpose: there must be a clear reason for collecting information.
Necessity: only the data required for the intended purpose should be collected.
Transparency: employees should understand how monitoring works.
Security: companies must protect information against unauthorized access.
Create a written policy explaining how company devices may be used.
Inform employees before implementing monitoring.
Explain what information will be collected.
Restrict access to collected data.
Avoid unnecessary collection of personal information.
Use metrics to improve management.
Review monitoring practices with legal professionals.
Monitoring should be transparent, proportionate, and respectful of employee privacy.
Measuring productivity incorrectly can lead to misleading conclusions and negatively affect the workplace environment.
Here are some of the most common mistakes.
Working hours and clicks are easy to measure, but they don't necessarily represent results.
Always combine activity data with quality and delivery metrics.
Every position has different responsibilities.
A metric that makes sense for sales may not be relevant to the finance department.
It's unfair to directly compare two people who perform different activities or receive tasks with different levels of complexity.
Analyze individual progress and compare equivalent roles.
A lack of transparency can damage trust and create legal problems.
Employees should understand what information is being collected and why.
If performance indicators only appear when someone makes a mistake, monitoring will be perceived as a threat.
Use data to identify challenges, improve processes, and recognize good performance.
A team that constantly needs overtime to achieve its objectives may have an organizational problem.
Always analyze productivity alongside working hours.
Data only creates value when it leads to decisions and actions.
Establish a regular review process to make the most of the information collected.
A dashboard filled with too many numbers can make decision-making more difficult.
Choose indicators that genuinely help you understand performance.
Before blaming an employee for declining productivity, check whether there are problems with systems, equipment, or internal processes.
Employees understand the challenges of their daily responsibilities better than anyone.
Listening to their feedback can reveal opportunities that performance metrics alone might not identify.
There isn't one tool that can solve every business productivity challenge.
In many cases, companies need to combine different solutions.
What they're useful for: tracking objectives, completed tasks, and results.
Limitations: require manual updates and can lead to errors.
What they're useful for: organizing activities, responsibilities, and deadlines.
Limitations: show which tasks were completed, but not necessarily how working time was used throughout the day.
What they're useful for: tracking sales, requests, operations, and activities across different departments.
Limitations: each system only provides part of the overall picture.
What they're useful for: recording clock-in and clock-out times, overtime, and working schedules.
Limitations: show how long someone works, but not how that time is used.
What it's useful for: analyzing computer usage, applications, websites, active and idle time, and productivity indicators.
Limitations: it doesn't replace evaluating results, communication, or work quality.
An effective strategy may include:
A task management platform to organize deliverables.
Internal systems to evaluate business results.
A time and attendance solution.
Employee productivity analytics software.
Regular meetings to interpret the data.
Ideally, important information should be brought together in one environment to simplify performance tracking.
Measuring productivity only makes sense when the information helps improve the way people work.
Here's a simple routine you can implement.
Set aside approximately 30 minutes to:
Review the team's overall performance indicators.
Identify important changes.
Select one issue to investigate.
Talk to the people involved.
Define an improvement action.
Review the results the following week.
Once a month:
Compare results with the previous period.
Identify trends.
Analyze task distribution.
Check whether employees are overloaded.
Recognize good performance.
Review established objectives.
A data-driven conversation can follow three steps:
Present the information without making assumptions.
Ask what's happening.
Agree on an improvement action.
For example:
"I noticed that your overtime hours have increased over the last few weeks. Has anything changed in your routine, or are there tasks taking more time than expected?"
This approach turns performance metrics into an opportunity to understand and solve problems.
Performance metrics should reflect the responsibilities of each department.
Here are some practical examples.
Results: proposals sent, deals closed, and sales targets achieved.
Quality: conversion rate and customer satisfaction.
Time: time spent using the CRM and performing administrative activities.
A sales representative spending too much time on manual tasks may need better tools or more efficient processes.
Results: customer requests resolved.
Quality: customer satisfaction and reopened requests.
Time: average resolution time and idle periods.
High levels of idle time may indicate an issue with scheduling or workload distribution.
Results: reports, reconciliations, and completed payments.
Quality: errors and rework.
Time: time spent using financial systems and attending meetings.
A consistent increase in overtime may indicate that processes need to be reorganized.
Results: features delivered and bugs fixed.
Quality: recurring errors and system stability.
Time: time spent using development tools and attending meetings.
Too many meetings can reduce the time available for tasks that require concentration.
Results: campaigns, social media posts, and creative assets delivered.
Quality: approvals and campaign performance.
Time: time spent using creative tools and analytics platforms.
In this department, social media is a work tool and should be classified accordingly.
Results: recruitment processes, hires, and training sessions.
Quality: hiring manager satisfaction and new employee retention.
Time: administrative activities and HR management systems.
HR teams can also use productivity metrics to identify workload issues and improve team organization.
Productivity doesn't always decrease overnight.
In many cases, warning signs appear before problems begin affecting business results.
When tasks start accumulating delays, there may be an issue with workload distribution, internal processes, or available tools.
Analyze where work is getting stuck.
If employees are working longer but completing the same amount of work, investigate what's consuming the additional time.
It could be meetings, rework, interruptions, or inefficient systems.
If idle periods consistently appear at the same times, employees may be waiting for approvals, information, or responses from other departments.
Unnecessary meetings reduce the time available for important work.
Review which meetings are genuinely necessary and who needs to participate.
When an employee's work patterns change significantly, it's important to understand what's different.
There may be increased workload, new responsibilities, or personal or professional challenges.
A higher number of errors may indicate insufficient training, excessive pressure, or problems within internal processes.
Frequent absences and resignations may indicate underlying workplace problems.
Monitoring working hours and task distribution can help identify situations that need attention.
Artificial intelligence is transforming activities across different departments and changing how businesses analyze productivity.
A task that previously required two hours may now take just twenty minutes using an AI tool.
This creates opportunities, but it also raises new questions for managers.
Using AI can speed up certain activities, but that doesn't necessarily mean the company is achieving better results.
It's important to understand how the saved time is being used.
Tools used: identify which AI applications employees use.
Adoption: analyze who uses these tools and how frequently.
Time saved: compare how long specific tasks take before and after implementing AI.
Quality: check whether deliverables maintain the expected standard.
Training: identify employees who need additional support to use these technologies effectively.
Monitoo recognizes 42 artificial intelligence tools and allows managers to visualize how employees use these technologies during their working hours.
This makes it easier to identify the most frequently used AI applications and better understand AI adoption across the organization.
Performance indicators only create improvements when they're used correctly.
A poorly handled conversation can make employees perceive monitoring as a threat.
That's why data should be used to guide and support people.
Before speaking with an employee, review performance indicators over several weeks.
Avoid drawing conclusions based on a single day.
Identify specific achievements that deserve recognition.
This shows employees that performance reviews aren't exclusively about finding problems.
Explain what the indicators show and allow the employee to share their perspective.
For example:
"I noticed that your overtime hours have increased over the last few weeks. Is there anything making your daily routine more difficult?"
Instead of imposing solutions, discuss what could change.
Ask which tools, resources, or adjustments would help improve the work.
During your next conversation, review the agreed changes and recognize improvements.
Feedback should be an ongoing process, not a one-time conversation.
Productivity is also directly connected to how working hours are organized.
Companies need to understand how much time is actually spent working and whether employees are regularly working excessive hours.
Analyze start and end times, as well as activities performed outside regular schedules.
Don't limit your analysis to contractual working hours.
Check which employees regularly work beyond their scheduled hours and investigate the reasons.
Determine whether additional hours are related to meetings, rework, manual tasks, or inefficient processes.
If some employees are consistently overloaded while others have available capacity, responsibilities may need to be reorganized.
With information about working hours and productivity, businesses can organize schedules more effectively and reduce unnecessary activities.
The goal is to achieve good results without constantly relying on overtime.
If your company doesn't currently measure productivity, you can start with a simple four-week plan.
Define what each position is expected to deliver.
Select two to four performance indicators.
Establish a baseline.
Review monitoring and privacy policies.
Choose the necessary tools.
Explain the project to employees.
Introduce the performance indicators.
Explain how information will be collected.
Configure the tools.
Adjust evaluation criteria for each department.
Analyze the first reports.
Identify activity patterns.
Observe periods with higher and lower activity.
Review overtime.
Talk to employees about potential challenges.
Identify the main bottlenecks.
Select one or two improvement opportunities.
Define initial objectives.
Establish a regular review process.
Recognize employees who contributed to the process.
After the first 30 days, productivity measurement can become part of your regular management routine.
Monitoo is an employee productivity analytics software that helps businesses understand how employees use their computer time, both in the office and while working remotely.
The platform brings together different indicators in one environment, making it easier to monitor activities and make informed decisions.
Website and application usage history.
Productive and unproductive time.
Active and idle time.
Working hours and activity patterns.
Productivity scores and rankings.
Activity timelines.
Automated reports.
Overtime tracking.
Identification of artificial intelligence tools.
Team productivity analytics.
Monitoo also allows managers to access an overview of the organization through different reports and visualizations.
These include:
Working hours and schedule compliance indicators.
Average arrival delays.
Activity outside regular working hours.
Heatmaps showing periods of higher activity.
Working hours by day.
Time spent in meetings.
Identification of employees with significant changes in activity patterns.
This information makes it easier to understand how your team is using its time.
Monitoo supports monitoring for in-office, remote, and hybrid teams.
This allows managers to apply consistent criteria when analyzing employee activity, regardless of where people work.
Employee monitoring tools should always be implemented with respect for privacy and applicable regulations.
Monitoo includes security features such as two-factor authentication, single sign-on (SSO), and information protection for data used in its AI analysis.
Businesses should also establish transparent policies and explain how employee data will be used.
In addition to productivity analytics, Monitoo offers complementary solutions.
Time and Attendance Management: helps record clock-in and clock-out times, manage time banks, calculate overtime, and generate working-hours reports.
IT Asset Management: helps businesses inventory computers and software, identify unused licenses, perform AI-assisted diagnostics, and manage devices remotely.
These features help centralize different aspects of business management.
Monitoo offers a free 7-day trial for up to 5 computers, with no credit card required.
Discover how to analyze team activity, identify opportunities for improvement, and make decisions with greater clarity.
Visit monitoo.com.br to learn more.
Use this checklist to determine whether your company is measuring productivity effectively.
Every position has clearly defined objectives and responsibilities.
Each role has appropriate performance indicators.
A baseline has been established before setting targets.
Objectives are clear and achievable.
Employees understand the evaluation criteria.
There is a monitoring and privacy policy.
Collected information is properly protected.
The same evaluation criteria are used for in-office and remote teams.
Overtime and working hours are monitored.
There is a weekly review routine.
Data is used to improve internal processes.
Good performance is recognized.
Performance indicators are reviewed regularly.
To measure employee productivity, compare the results achieved with the time spent achieving them. Define specific metrics for each role and also consider the quality of completed work.
The basic formula is to divide the results achieved by the time spent. For example, you can calculate how many customer requests an employee resolves per working hour.
A practical way to organize workplace productivity is through four pillars: people, processes, tools and technology, and business management.
Physical presence doesn't guarantee productivity. It's important to analyze results, active time, completed activities, and achieved objectives.
You can use productivity analytics tools that track computer usage, applications, and periods of activity and inactivity. It's also important to establish clear objectives and maintain regular communication.
The ability to monitor employees depends on applicable legislation and the conditions under which monitoring is implemented. In Brazil, the LGPD establishes principles such as purpose, necessity, transparency, and security when processing personal data.
Employee monitoring isn't automatically illegal. However, it must respect workers' rights, have a legitimate purpose, and comply with applicable data protection and privacy regulations.
Combine results-based, quality, and time-based metrics with individual conversations. Consider each employee's responsibilities, task complexity, and working conditions.
Some of the most commonly used metrics include completed tasks, goal achievement, on-time delivery rates, rework rates, customer satisfaction, productive time, and overtime.
Start by identifying how working time is being used. Reduce unnecessary meetings, improve processes, organize priorities, and provide employees with the right tools.
Screen monitoring requires special attention because it may collect personal or sensitive information. Before implementing this type of feature, companies should evaluate its necessity, proportionality, purpose, and compliance with applicable regulations.
Measuring productivity alone doesn't guarantee better results. Improvements happen when businesses use data to identify problems, optimize processes, distribute tasks more effectively, and recognize employee performance.
Knowing how to measure employee productivity means looking beyond attendance and understanding how working time is actually being used.
Whether employees work in the office or remotely, it's important to analyze three factors: what results are achieved, how much time is required, and the quality of the work delivered.
With changes in workplace models and the growing adoption of artificial intelligence, businesses need to make increasingly data-driven decisions.
Start by defining objectives for each role, selecting the right performance indicators, and establishing a regular review process.
And remember: the purpose of measuring productivity shouldn't be to monitor every employee movement. It should be to better understand how work gets done, identify opportunities for improvement, and build more efficient teams.
With Monitoo, you can analyze how your team uses its time, visualize productivity indicators, and make decisions with greater clarity.
Try Monitoo free for 7 days, on up to 5 computers, with no credit card required.
Visit monitoo.com.br and discover how to improve the way you manage your team.
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