You open your computer to start a task and, five minutes later, you’re already switching between spreadsheets, systems, emails, messages, and different tools. By the end of the day, you’ve worked a lot—but not necessarily on what really mattered.

This scenario is more common than it seems.

In many companies, the problem isn’t a lack of effort from employees. It’s the number of manual processes, disconnected tools, and repetitive tasks that are part of their daily routine.

And there is an important difference between working a lot and creating value.

Too Many Tools Could Be Hiding a Productivity Problem

Having a tool for everything may seem like an advantage at first.

One platform for communication.
Another for project management.
One spreadsheet for tracking.
Another for metrics.
A financial system.
A CRM.
Email.
Messages.
Documents.
Dashboards.

The problem begins when employees have to manually connect all this information.

That’s when situations like these arise:

• copying information from one system to another;
• manually updating spreadsheets;
• repeatedly checking data;
• searching for information across different platforms;
• entering the same data in multiple places;
• sending reports that could be automated;
• manually tracking metrics;
• organizing information that already exists in another system.

Each task, on its own, may seem small.

But when these tasks are repeated every day, the cumulative impact can be huge.

The problem isn’t necessarily the amount of work. It’s the amount of work that shouldn’t have to be done manually.
 

What Are Manual Processes?

Manual processes are activities that depend on human intervention to be performed, even when they could be partially or completely automated.

Here’s a simple example:

Imagine that every morning a professional needs to:

1. access a system;
2. export data;
3. open a spreadsheet;
4. copy the data;
5. adjust the information;
6. check the numbers;
7. update another spreadsheet;
8. send the results by email.

The process may take only 30 minutes.

Now multiply that by:

5 days a week → 2.5 hours

4 weeks → 10 hours

12 months → approximately 120 hours

In other words, a seemingly small task can represent entire days of work over the course of a year.

And that’s considering just one activity.
 

Automation Is Changing the Way We Work

The recent evolution of artificial intelligence tools shows an important shift: technology is moving beyond simply assisting with work and is beginning to execute parts of the process.

The updates to Microsoft 365 Copilot itself demonstrate this movement.

In a recent update, Microsoft enabled Copilot in Excel to use Python for advanced analysis, automation, and data transformation directly within spreadsheets, reducing the need to switch between tools to perform certain tasks.

Another update allows users to work with email content directly in Copilot Chat within Outlook, reducing the steps required to move information from one tool to another.

And the movement goes even further.

Copilot is also being integrated into different Microsoft 365 environments, such as Teams, PowerPoint, Excel, Outlook, and SharePoint, creating an increasingly connected experience.

This points to an important shift:

The future of productivity isn’t about having more tools. It’s about having to do less manual work between them.

Automation Doesn’t Mean Working Faster
 

This is an important distinction.

When we talk about automation, it’s common to think:

“How can I do this task faster?”

But perhaps the more important question is:

“Should I still be doing this task manually?”

Imagine an activity that takes two hours.

You can try to complete it in one hour.

Then in 30 minutes.

But if it can be automated, perhaps the best solution is simply to stop spending time performing that activity manually.

It’s a change in perspective.

Before

Person → opens system → searches for information → copies → pastes → checks → updates → sends.

After

System → automates → information available.

The goal isn’t to make employees perform more tasks.

It’s to free up time for activities that require thinking, analysis, creativity, strategy, and decision-making.
 

The True Cost of Manual Processes

The cost of a manual process isn’t limited to the time spent on it.

There are at least four impacts that need to be considered.

1. Time

Hours spent on repetitive tasks could be used for higher-value activities.

2. Errors

The more often information needs to be manually entered or transferred, the greater the possibility of errors.

3. Fragmentation

When information is scattered across different tools, finding what you need also starts consuming time.

4. Focus

This may be the most difficult impact to measure.

Every interruption requires professionals to switch contexts.

They were analyzing a problem.

They need to update a spreadsheet.

They return to the problem.

They receive a message.

They open another tool.

They search for information.

They return again.

At the end of the day, they’ve been busy.

But being busy doesn’t necessarily mean being productive.

15 Open Tabs Don’t Mean Productivity

There is a common trap in the corporate environment:

confusing activity with productivity.

An employee can spend eight hours in front of a computer and:

• respond to dozens of messages;
• update spreadsheets;
• attend meetings;
• switch between systems;
• check information;
• fill out forms;
• create reports.

All of this represents activity.

But how much of that time actually contributed to the company’s goals?

That is a much more important question.

Because productivity shouldn’t be measured only by the number of tasks completed.

It needs to consider how time is being used and where there are opportunities for improvement.
 

How to Identify Processes That Should Be Automated

Not every activity needs automation.

But some characteristics are clear signs of an opportunity.

Ask yourself:

Is the task repetitive?

If you perform exactly the same steps every day, there is potential for automation.

Does the task involve copying and pasting?

This is one of the clearest signs.

Does the information already exist in another system?

If you only need to transfer data from one platform to another, the process may be able to be integrated.

Does the task require little decision-making?

The more predictable the process, the greater its potential for automation tends to be.

Does the activity consume many hours throughout the month?

Even a simple task may be worth automating when it is performed at high volume.

If the task disappeared, would the outcome be affected?

If the answer is no, you may be looking at an activity that can be eliminated or automated.

Automation + Data: The Next Step in Productivity

Automating processes solves only part of the problem.

After eliminating unnecessary tasks, a new question arises:
 

How is time being used?

This is where productivity data comes in.

It isn’t enough to know that a team is working.

It’s important to understand:

• how much time is dedicated to productive activities;
• where bottlenecks exist;
• which tools consume the most time;
• where periods of inactivity occur;
• which processes can be improved;
• how work is distributed;
• which changes actually improved productivity.

This perspective allows managers to stop making decisions based solely on perception.

And start using real data to identify opportunities.
 

This Is Where Monitoo Comes In

Monitoo helps companies understand how work time is being used.

The platform tracks website and program usage, productive time, periods of inactivity, and other indicators that help managers understand how their teams work.

The goal isn’t simply to find out whether someone is in front of a computer.

It’s to transform data from the work routine into information that can support decision-making.

With this, managers can identify:

Where are we losing time?

Which processes are creating bottlenecks?

Which tools are actually being used?

Where are there opportunities for improvement?

Are we using our time on the activities that really matter?
 

Because, in the end, productivity shouldn’t mean:

doing more things.

It should mean:

using time better to create more value.

Fewer Tabs. Fewer Spreadsheets. Less Manual Work.

Maybe the problem with your team isn’t a lack of productivity.

Maybe they’re simply spending too much time doing things that technology could already be doing for them.

Automation can eliminate repetitive tasks.

Integration can reduce the need to switch between systems.

And data can show where time is still being wasted.

The result?

Less operational work.
More focus.
Greater efficiency.
More time for what really matters.

And perhaps this is the true evolution of productivity:

not working faster and faster, but needing to do less unnecessary work.
 

Conclusion

If your team needs to open 15 tabs, 8 tools, and 37 spreadsheets to complete a simple task, it may be time to stop and analyze the process.

Before demanding greater productivity, ask:

How many manual tasks are we requiring our employees to perform every day?

The answer may reveal opportunities that no productivity target could solve on its own.

Technology shouldn’t create more work.

It should give time back to people.

And when you combine automation + data + management, the goal is no longer simply to do more.

It becomes about doing better.

Want to Understand Where Your Team Is Spending Its Time?

Discover Monitoo and learn how real productivity data can help your company identify bottlenecks, opportunities for improvement, and processes that are consuming valuable time.

Turn time into information.
Information into decisions.
And decisions into productivity.

Source: Microsoft — Microsoft 365 Copilot Release Notes