The most useful Microsoft Excel tools and features that aren’t enabled by default


Excel is packed with productivity features, but some of its most useful tools are hidden or disabled by default. Whether you want faster data entry, better dashboards, or more powerful analysis tools, enabling a few overlooked settings can transform the way you work.

Snap a dynamic data picture

Excel includes a hidden Camera tool that can create dynamic snapshots of your data. The tool lets you display any range as a live image anywhere in the workbook, making it ideal for building dashboards and report pages that update automatically as your data changes.

But before you can take a snapshot, you need to add the command to your interface:

  1. Right-click anywhere on the Excel ribbon, and if you see Show Quick Access Toolbar, click it. If you don’t, it’s already activated.
  2. Right-click the Quick Access Toolbar and choose Customize Quick Access Toolbar.
  3. Switch the command list to All Commands.
  4. Select Camera, then click Add to move it to the right-hand menu.
  5. Click OK.

Once the icon is visible on your toolbar:

  1. Select the range you want to capture.
  2. Click the newly added Camera icon at the top of your screen.
  3. Click the cell where you want to paste the dynamic image.

You can move and resize the snapshot like any other image, and it updates automatically whenever the source cells change.

You can also capture charts, shapes, and other worksheet objects by selecting the cells behind and around them before clicking the button. Consider hiding the gridlines before creating the snapshot to improve clarity.

Hidden status bar settings

Build a better calculation tracker

The status bar at the bottom of Excel can reveal useful statistics about selected data. By default, highlighting a group of numbers only shows you their basic sum, count, and average.

The status bar in Excel revealing the average, count, and sum of the values in the selected cells.

You can drastically expand this tracker to show deeper metrics, saving you from writing temporary formulas just to check a quick data point. Turning on the extra toggles lets you see the minimum and maximum values, and the number of numeric entries in the selection.

Doing this only takes a few seconds:

  1. Right-click anywhere along the blank space of the status bar at the bottom of the Excel window.
  2. In the menu, find the section containing the calculation metrics.
  3. Click Minimum, Maximum, and Numerical Count to add checkmarks next to them.

Now, whenever you select a range of numbers, Excel will display these additional statistics in the status bar.

Click one of the status bar values to copy it to your clipboard.

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Automatic decimal point insertion

Speed up numeric data entry

If your daily workflow involves typing hundreds of financial figures or long lists of cents, manually entering decimal places can slow you down. Excel includes a built-in automation toggle designed specifically to handle fixed decimals for you.

When enabled, you can type continuous streams of numbers on your 10-key pad without periods. For example, typing “1550” automatically becomes “15.50” when you press Enter. Unlike Currency or Accounting formatting, which only changes how values are displayed in selected cells, this feature changes how Excel interprets every number you type, making it useful for high-volume data entry tasks.

Here’s how to turn it on:

  1. Click File and choose Options.
  2. Open the Advanced tab.
  3. Check the box at the top labeled Automatically insert a decimal point.
  4. Adjust the Places counter box if you need something other than the standard two decimal places.
  5. Click OK to activate the fast entry mode.

Now, each number you enter will automatically be formatted using the number of decimal places you specified. Just remember to disable the feature when you’re done—otherwise, Excel will continue inserting decimal places into future entries.

Solver add-in

Automate your optimization problems

When you need to find the best outcome for a complex scenario—such as maximizing profits, minimizing costs, or allocating limited resources—doing the calculations manually can be difficult. Excel includes an optimization tool called Solver that handles these multi-variable problems automatically.

Microsoft leaves Solver disabled by default to keep the already-cluttered ribbon clean, so most people never realize it’s even there. Once enabled, it adds a dedicated analysis package to your data tools that evaluates different combinations of values to find the best solution based on the rules you provide.

To enable it:

  1. Go to the File tab and select Options.
  2. Click the Add-ins category on the left.
  3. Ensure the Manage drop-down menu at the bottom is set to Excel Add-ins, then click Go.
  4. Check the box right next to Solver Add-in in the pop-up list.
  5. Click OK.

Once enabled, open the Data tab and click Solver to define an objective, specify which cells Excel can change, and let Solver find the optimal result.

Power Pivot

Analyze bigger datasets with ease

Large datasets can become difficult to analyze efficiently with traditional worksheet tools alone. Microsoft includes a powerful data-modeling engine called Power Pivot, but you can’t use it until you enable it as an add-in.

Enabling this feature lets you import millions of rows of data from multiple sources into a single Data Model. It allows you to build relationships between multiple tables without relying on complex lookup formulas, making it easier to analyze large datasets at scale.

To get started:

  1. Click the File tab and open the Options window.
  2. Select the Add-ins category from the left sidebar.
  3. Expand the Manage drop-down menu, select COM Add-ins, and click Go.
  4. Check the box next to Microsoft Power Pivot for Excel.
  5. Click OK.

You can then switch to the Power Pivot tab to add tables to the Data Model, create relationships between datasets, and build reports from large collections of data more efficiently.


Streamlining your daily spreadsheet workflow

A few quick menu changes can make Excel far more efficient and unlock tools you didn’t even realize were available. Once you’ve enabled these hidden features, spend five minutes making a custom ribbon tab group to further personalize Excel and keep your most-used commands within easy reach.



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ZDNET’s key takeaways

  • Staff who use AI can end up with more to do, not less.
  • Think carefully about the tools you’re using and why.
  • Adopt a set of standards and refine your outputs.

The promise of productivity boosts from AI can come with an unwelcome side order of stress. Harvard Business Review found that AI doesn’t reduce work; it intensifies it, leading to cognitive fatigue and unsustainable hours.

While the common perception is that AI can help reduce workloads, allowing employees to focus more on higher-value and more engaging tasks, HBR’s research found that staff using AI worked more quickly and often ended up with more to do, not less.

Also: Forget productivity: Here are 5 strategic shifts that drive real AI value

While we’ve written about how some professionals are finding ways to turn AI’s time-saving magic into a productivity superpower, we’ve also recognized that some employees have started to become tired with the low quality of AI outputs.

Ankur Anand, group CIO at tech recruiter Harvey Nash, said professionals who want to avoid cognitive fatigue must understand how to use AI effectively and its potential risks.

“That focus will help to reduce the noise around the workload that AI creates,” he told ZDNET, suggesting that many people have unrealistic expectations about the productivity boost that AI will provide.

Also: Why I ditched Copilot for Claude in Word, Excel, and PowerPoint – and how you can, too

“Many organizations are telling their people, ‘We want to understand how you’re making an impact with AI,'” he said. “But these professionals are not empowered, which means that using AI adds a lot of pressure, because they need to prove themselves on their own terms.”

If you’re going to make the most of AI at work, then you’re going to have to find an effective balance between completing tasks quickly and producing high-quality work. 

Here’s how the experts believe professionals can ensure they reap the benefits, not the problems, of AI — and they suggest that you’ll need to focus on three core areas: tools, guidelines, and outputs.

Limit your toolset

Alex Read, senior enterprise product manager for data at energy provider EDF UK, told ZDNET that the best way for professionals to reap the benefits, not the challenges, of AI is to be uber-focused on tools that help you produce value in your roles.

While there are thousands of potential AI-enabled services on the market, Read said sensible professionals limit their horizons.

Also: How this travel company’s AI rollout drove a 73% satisfaction boost: A 5-step playbook for your business

In his own role, for example, Read focuses on how AI can help him build a data platform and update information accurately, efficiently, and productively: “Anything outside of that scope is noise for me.”

That sentiment resonated with Nick Pearson, CIO at technology specialist Ricoh Europe, who told ZDNET it’s important to take a step back and think carefully about how an AI tool can help you produce value in your role.

“If you think about the phrase ‘gen AI,’ the tech is very good, by definition, at generating outputs,” he said. “I could go to bed in the evening, set the model to work, and we could have four new IT strategies produced overnight.”

Also: Worried AI agents will replace you? 5 ways you can turn anxiety into action at work

However, quantity doesn’t necessarily mean quality. Pearson suggested it’s important to focus on AI’s blind spots, particularly as most models are trained on preexisting content.

“AI can’t inspire people, per se; it can’t naturally create something new, because it’s actually quite recursive,” he said.

“And the judgment you have to put in sometimes, on top of everything else, whether it be an ethical or a capability judgment, is not there automatically in the technology.”

It’s in this gap, said Pearson, that human experts play a critical role: “We’re toying with that concern as an organization and saying, ‘Where does AI really play an important role, versus where are we upskilling people in areas that AI probably won’t play for a long time?'”

Work to the guidelines

HBR’s research found that an initial productivity surge when AI is adopted can lead to lower-quality work, turnover, and other problems as people work harder rather than smarter.

To correct this issue, HBR said companies need to adopt an “AI practice,” or a set of norms and standards around AI use that help professionals ensure they use AI in a constrained but productive manner.

Also: 90% of AI projects fail – here are 3 ways to ensure yours doesn’t

At EDF UK, Read is part of an internal AI Center of Excellence in enterprise IT, which enables policy for the effective use of AI across the wider organization. 

In addition to Read, who contributes input from a data-use perspective, the group includes other tech representatives, such as the firm’s senior manager of AI, principal software engineer, and principal solution architect.

“The remit of this center is to make sure that, when the federated business units are looking to build, develop, and deploy AI services, they have platforms, guidance, best practices, architectural assets, and materials to guide them on how to safely and efficiently adopt AI and operationalize it at scale,” he said.

Some of the key themes the center considers when assessing AI tools are scalability and reusability, ensuring a proposed service doesn’t replicate one already in use.

Also: 5 ways to use AI when your budget is tight

“All new tools and services related to AI will go through that hopper and funnel to understand scope and ensure the security, regulatory, and ethical side of things are understood,” he said, suggesting that all professionals should use their organization’s pre-existing guidelines to foster an appropriate exploitation of emerging tech.

“The benefit that guided approach brings is that it allows us to be clear in our messaging around what AI services can be used, how they’re used from a use-case perspective, and ultimately, what personas are allowed to use them.”

Refine your outputs

Even when tools are assessed and considered acceptable, there can still be an overreliance on AI outputs. Worse, some professionals can drown in the insights they receive, leading to higher stress and fewer benefits.

Louise Newbury-Smith, head of UK&I at technology specialist Zoom, told ZDNET that one way to ensure your outputs are constrained is to focus on prompting.

“Use simple amendments to be specific, such as ‘Give me the top three things with the biggest impact.’ That approach should guide your prompt, rather than saying, ‘Give me everything you know about this topic.'”

Also: 5 ways to fortify your network against the new speed of AI attacks

Newbury-Smith said the successful use of AI is all about being smart about how it’s exploited, and that effectiveness comes down to enablement and engagement. If a prompt yields too much information, refine it until you get what you need. She said this should still be faster than trying to get answers without AI.

The basic message for professionals is that effective applications of AI are all about you staying in the loop, said Bernhard Seiser, vice president of digital, data, and IT at AOP Health.

Think before you use AI, and think again before you push your outputs around the organization.

“It doesn’t help the business if you get AI-generated emails that are many pages long, and then you need ChatGPT to summarize the text,” he told ZDNET.

Seiser said that while there are certain tasks generative AI is good at and worth using for, in the end, “you need to use your brain.”





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