Are You a Microsoft 365 Copilot Power User?

There’s a big difference between having Microsoft 365 Copilot and actually being good at using it.

Most people start in roughly the same place. They ask Copilot to rewrite an email, summarise a document, take some meeting notes or give them a few ideas.

That’s useful, but it’s only scratching the surface.

The bigger opportunity comes when Copilot starts changing how you work. You stop thinking about individual prompts and start thinking about what work you can hand to AI, what context you can reuse, and what processes you can make repeatable.

So, how do you know when you’re becoming a Microsoft 365 Copilot power user?

Here’s our test.

1. Copilot writes your emails in your voice

You shouldn’t need to completely rewrite every email Copilot produces.

A power user has given Copilot enough information about how they communicate that its first draft already sounds reasonably like them.

That means teaching it things like how you open an email, how formal you are, the length of your sentences, words you commonly use, things you avoid and how you normally finish.

The goal isn’t for AI to write generic corporate emails faster.

It’s for AI to write your emails faster.

2. Your prompts are getting shorter, not longer

There’s plenty of advice about writing enormous, highly detailed AI prompts.

But as you become more advanced with Copilot, something interesting often happens: your prompts actually get shorter.

That’s because the detail starts moving somewhere more reusable.

You might have template files that contain the structure you want Copilot to follow. You might have instructions that describe how you work. Or, for more advanced use cases, you might create reusable skills containing detailed instructions that Copilot can follow again and again.

Instead of continually writing the equivalent of a massive prompt, you build that knowledge once and reuse it.

Eventually your prompt might be as simple as:

“Run this using my monthly reporting skill and the attached files.”

The sophistication isn’t necessarily in the prompt you typed. It’s in the context and capability sitting behind it.

3. You transcribe your important meetings

Meetings contain enormous amounts of useful organisational knowledge, but historically most of that knowledge has disappeared as soon as the meeting ends.

Transcription changes that.

Naturally, you should always make sure people are aware of and comfortable with a meeting being recorded or transcribed.

Once you have that approval, though, transcription is valuable because Copilot can start working with the conversation immediately.

You can ask:

• What did we agree to?
• What are my actions?
• What did this customer tell us they wanted?
• Draft the follow-up email.
• What have we previously discussed with this person?
• What should I prepare for our next meeting?

The transcript isn’t the end product. It’s context for everything that happens afterwards.

4. You’ve learned the art of micro-multitasking

We call this micro-multitasking.

AI means you don’t have to work in the traditional pattern of:

Start task → complete task → start next task.

Instead, you can have lots of little pieces of work happening in parallel.

Give Copilot something to investigate. While that's running, get another piece of work started. Then move onto something else while AI works away in the background.

The basic question becomes:

“What part of what I'm doing right now could I hand to AI?”

The real productivity gain isn't necessarily saving five minutes on one task. It's having multiple pieces of work progressing at the same time.

5. Word creates whole documents, not just paragraphs

If you’re only asking Copilot in Word to rewrite individual sentences and paragraphs, you’re missing much of the opportunity.

A power user gets Copilot working across the whole document.

One of the best examples is recurring reporting.

Imagine you produce the same monthly management report every month. The structure stays broadly the same, but the information changes.

Build an excellent version of that report and use it as your template.

Then give Copilot the template along with the source information for the new month.

That might include:

• an Excel file containing this month’s sales results
• transcripts from team meetings discussing current projects
• notes on major wins, issues and risks
• last month’s report for additional context.

Copilot can bring those different sources together and populate the new report based on the structure you've already established.

Instead of starting from scratch every month, you're reusing your organisation's best work.

6. You use Copilot to interrogate spreadsheets

Excel is another area where the opportunity goes well beyond asking Copilot how to write a formula.

Power users use Copilot to explore their data:

• explain what’s happening
• identify anomalies
• compare periods
• find patterns
• summarise results
• explore different scenarios
• identify questions worth investigating.

A useful technique is asking Copilot to model low, medium and high scenarios instead of giving you one answer.

And increasingly, you don't necessarily have to build every visualisation yourself.

Microsoft's newer Copilot experiences can turn data into interactive visualisations and dashboards, allowing you to explore the information rather than manually building every chart yourself.

7. You know when to use Researcher and Analyst

This is an important distinction.

Regular Copilot is excellent when you broadly know what task you want completed.

But sometimes that's not your problem.

Sometimes you have an open question.

You don't quite know where to start, what the answer might be or even what you're going to discover.

That's when Researcher and Analyst become particularly useful. Hypergen’s training specifically treats these as separate capabilities from ordinary Copilot task completion.

A simple way to think about it is:

Researcher: text-heavy problems

Use Researcher when you're dealing with things like:

• Word documents
• PDFs
• reports
• policies
• external research
• large amounts of written information.

Give it an open question and let it investigate.

One of our customers used Researcher to help with a full category refresh for a major retailer that stocks their products. It was a category research task and exactly the kind of open question Researcher handles well.

Analyst: data-heavy problems

Use Analyst when the problem involves structured or semi-structured information such as:

• Excel workbooks
• CSV exports
• multiple spreadsheets
• spreadsheets with lots of tabs
• reports containing tables
• large operational datasets.

And don't be afraid to give these agents a lot of information.

One example we've seen firsthand came during a Copilot training session.

A customer loaded an export from their CRM containing roughly 17,000 call records into Analyst. The person running the analysis was only about three months into the role and wanted to better understand how their contact centre was operating.

Analyst gave them a detailed view of their data that both validated things they'd already started to suspect and surfaced new insights they hadn't identified themselves.

That's where these tools become interesting.

You're not simply asking AI to complete a task.

You're asking it to discover something.

That discovery then creates the next set of tasks.

8. You build agents for work you want to repeat

Building a Copilot agent is actually much easier than many people expect.

And the big benefit isn't necessarily doing something sophisticated.

It's reusability and consistency.

Imagine your organisation regularly reviews non-disclosure agreements.

You could write a long prompt every time:

“Review this NDA, check these 12 things, highlight these clauses, compare them with our preferred position…”

But why keep rewriting that?

Build an agent with those instructions behind the scenes.

Then the user's entire prompt can become:

“Review this NDA.”

The detailed process is already there.

Next week, somebody gives it another NDA. It follows the same process.

Someone else on the team uses it. Again, the same process.

That's where agents become so useful. You're taking something that works and making it reusable across the organisation.

9. You’re starting to think in systems, not individual prompts

This is where everything starts coming together.

Beginner Copilot use often looks like:

“What should I type into Copilot?”

Advanced use looks more like:

“How should AI fit into the way this work gets done?”

A meeting transcript becomes the input for the follow-up email.

The follow-up becomes context for your next meeting.

An Excel export goes to Analyst.

The analysis feeds your monthly Word report.

Instructions you repeatedly use become an agent or skill.

Instead of building something once and throwing it away, you start designing work so that the useful parts can be reused.

That's the transition from using AI as a handy assistant to actually changing the way you work.

The Copilot power user checklist: how many can you tick?

This is broadly the standard we aim to get people towards in our Microsoft 365 Copilot training.

How did you score?

If you couldn't tick everything, don't worry. That's exactly what our Microsoft 365 Copilot training is designed for.

It makes no difference whether you've only recently started using Copilot or you're already using it every day. Our training is designed to help people understand what a capable Copilot user looks like and give them the practical skills to get there.

Plenty of Copilot training stops at demonstrating features. We get people using them on their real work and that is what makes our training practical.

And if you read this list and thought, I'm already doing most of that, have a look at our advanced training.

That's where we go further into capabilities such as Copilot Cowork, more capable agents and skills, which we think will become an increasingly important part of getting serious value from Copilot.

The goal isn't really to become good at prompting.

It's to become good at working with AI.

And that's a much more useful skill.