Copilot is available in Microsoft 365, Teams, Outlook, Edge and Word.
Yet after only a few days of testing, many users stop using it.
The reason is rarely the quality of the tool itself.
The problem is often much simpler: nobody has really shown them how to use it properly.
Used like an enhanced search engine, Copilot delivers limited value.
Used as a true work assistant, it can save several hours every week.
Let’s look at why some users feel disappointed and how to avoid the most common mistakes.
Why do some users feel disappointed?
When a company deploys Copilot, expectations are often very high.
Many people imagine:
- complete automation;
- perfect answers;
- ready-to-use documents;
- immediate productivity gains.
Then come the first prompts:
“Summarize this article.”
“Write this email.”
“Explain this document.”
The answer seems correct. But not extraordinary.
So many users conclude:
“Copilot isn’t that impressive after all.”
In reality, they are using it like Google or a standard chatbot.
And that is exactly where its potential becomes limited.
The 4 most common mistakes
1. Using copilot like a search engine
Most users ask a single question. They read the answer. Then they stop.
Example:
“What are the benefits of SharePoint?”
The answer will probably be correct. But it will also be fairly generic.
Copilot becomes far more useful when the conversation continues:
“What benefits would it bring to a company with 20 employees?”
“What risks could exist in our situation?”
“Compare it with our current way of working.”
That conversation is where the real value appears.
2. Providing no context
Copilot does not know yet your business, your customers or your constraints.
If you ask:
“Write a sales email.”
You will get a fairly standard email.
If you ask:
“Write a sales email for a manufacturing company that still relies heavily on Excel to manage its operations.”
The result will already be much more relevant.
The more context you provide, the more useful the response becomes.
3. Accepting the first answer
Copilot always starts with a first version.
But that version is rarely the best one.
Experienced users usually continue with prompts such as:
“Make it shorter.”
“Make it more direct.”
“Add examples.”
“Use simpler language.”
Just a few interactions can transform an average answer into something genuinely useful.
4. Never using your own data
This is probably the most common mistake.
Without files, emails or documents, Copilot remains a general-purpose assistant.
With your own data, it becomes a business tool.
For example:
“Analyze this meeting summary and suggest the priority actions.”
Or:
“Summarize these 30 pages for an executive who only has five minutes.”
Or:
“Identify trends from this Excel file.”
This is often the moment when users begin to see the real value of the tool.
How to get better results?
To get more value from Copilot, you need a different approach.
Rather than looking for an immediate answer, treat Copilot like a collaborator.
Give it:
- information;
- documents;
- an objective;
- constraints.
Then work with it.
For example:
“Analyze this document.”
Then:
“Summarize it for an executive.”
Then:
“Turn this into an email.”
Then:
“Add an action plan.”
Within minutes, you can produce something that might otherwise have taken an hour or more.
The Objective / Context / Sources / Expectations method
🎯 Objective
Examples:
- a summary;
- a procedure;
- an email;
- an action plan;
- a presentation.
🧭 Context
Why do you need it? Who is it for? What is the situation?
Example:
“This summary is intended for an executive who was unable to attend the meeting.”
📚 Sources
Examples:
- a Word document;
- an Excel file;
- Teams conversations;
- emails;
- meeting notes.
✅ Expectations
Examples:
- five key points;
- a professional tone;
- a 300-word summary;
- a table;
- an action list.
Practical example
Prepare a summary for my client. Use Teams conversations and emails since June. Present the five most important points.Use simple language and avoid technical jargon.This request is far more effective than:
“Summarize this.”
Summary
Copilot is not disappointing because it lacks capabilities.
It often seems disappointing because it is used like a search engine.
Like any professional tool, it requires some learning.
Once the right habits are in place:
- answers become more relevant;
- time savings become real;
- new use cases emerge naturally.
The real problem is rarely the tool itself.
The real problem is that nobody has taught users how to use it properly.
In most cases, the issue is not the tool itself but how it is being used. Let’s identify practical ways to get real value from Copilot in your day-to-day work.
