Back to Blog

The Quiz Tutor Copilot Agent Template - A Practical Look for Australian L and D Teams

June 10, 20268 min readMichael Ridland

I was talking to a learning and development manager at an Australian insurer last month who said something I keep thinking about. Her team had spent eighteen months building beautiful e-learning modules that nobody finished. Click-through rates were fine. Completion was awful. Comprehension, when she actually tested for it, was worse.

The fix she wanted was a tutor that sat next to the learner and asked questions. Not a chatbot that summarised the content back at them. A thing that quizzed them, knew when they got it wrong, and adapted.

That is more or less the job description for Microsoft's Quiz Tutor agent template, one of the starter templates Microsoft ships for Copilot Studio. I want to walk through what it actually is, where it works, and the bits I would tell a friend to think hard about before rolling it across an organisation of five thousand people.

What the Quiz Tutor template is

The Quiz Tutor is a declarative agent template you can grab from the Microsoft 365 Copilot extensibility documentation. You point it at a set of training materials. SharePoint documents, PDFs, a OneNote, a Teams knowledge base. The agent reads through that grounding content and generates quiz questions on demand. The user picks a topic. The agent asks. The user answers. The agent marks the answer, gives a hint or a correction, and moves on.

The template is built on Copilot Studio under the hood, so you get the usual Copilot scaffolding for free. Authentication via your tenant, RBAC tied to who can see which SharePoint sites, conversation history sitting where it should sit, and an existing surface in the Microsoft 365 Copilot app that staff are already opening every day.

What makes it useful as a template, rather than something you would build from scratch, is the prompting. Microsoft has done the work of telling the underlying model how to be a decent tutor. It asks one question at a time. It does not dump the answer when you fail. It explains why a wrong answer is wrong. It rephrases when you ask for a hint. None of that is rocket science but writing those instructions yourself, and then iterating on them until they actually behave, is a few weeks of work that you skip by starting from the template.

Where I have seen this pattern actually work

The cases where this earns its keep are the ones where you have a defined body of knowledge that staff need to internalise, and where the cost of getting it wrong on the job is real.

Compliance training is the obvious one. AML modules at a bank. Privacy training inside a health network. WHS refreshers in a construction business. The current state for most Australian companies is a thirty minute video followed by a multiple choice test that anyone can pass with the video still open in another tab. A Quiz Tutor agent, pointed at the relevant policy documents and the answer guidance, changes that loop. The questions are generated, so people can not just memorise the test. The agent can keep going until the staff member can answer a fresh question correctly without prompting. You get something closer to actual learning and the audit trail is cleaner too.

We helped a regional bank build something similar for their credit policy training earlier this year, well before the Quiz Tutor template existed. It took our team about three weeks of build and another month of tuning. If we started today with the template, I would expect to be live in a fortnight.

The second pattern is technical onboarding. New engineers learning a deployment process. New analysts learning a query catalogue. New service desk staff learning a triage taxonomy. The Quiz Tutor pattern works because the answers exist in writing somewhere, and somebody still has to be quizzed on them. We have used the same shape for a Microsoft AI consulting engagement at a mining services business where the onboarding for plant operators included reading about thirty incident reports. Nobody read them. Once we built a tutor on top, retention of the actual lessons went up sharply.

The third one is sales enablement, which is where I expect the largest unsolicited adoption to come from once people find this template. The pitch deck is sitting on SharePoint. The objection handling guide is sitting on SharePoint. The competitive battle cards are sitting on SharePoint. Sales managers want to know that their team has internalised any of it. A daily five minute quiz pointed at the right folder is a real answer.

What the template gets right out of the box

A few things in the template are worth calling out because they are not obvious until you try to do them yourself.

The grounding is solid. You can point the agent at a SharePoint library and it respects the permissions on that library. If someone does not have access to a document, the agent will not pull from it when generating their questions. That sounds basic until you try to enforce it on a custom build.

The conversation memory is short by default and that is correct for a tutor. The agent does not let learners coast on context from earlier in the chat. Each question stands on its own, which is what you want when you are testing recall.

The default style is patient. It does not get sarcastic when you get a question wrong, and it does not just give up and tell you the answer after one miss. That feels small but if you have ever built a customer-facing AI assistant you know how much prompt engineering goes into preventing the model from being either too generous or too brusque. The template takes a defensible middle ground.

Where it is still rough

I will be direct. The Quiz Tutor template is good for ninety percent of internal training cases. The remaining ten percent is where things get awkward.

Anything that requires the agent to mark a long-form answer is hit and miss. Multiple choice and short factual recall are reliable. Asking the learner to write a one paragraph response and having the agent judge whether it is correct is where the model starts being inconsistent. It will pass a wishy-washy answer that hits the right keywords and fail a tightly written answer that uses different vocabulary. If the training material requires that kind of assessment, you will need a human in the loop.

Quiz quality is also directly proportional to grounding quality. If your policy documents are written for lawyers and contain three layers of conditional clauses, the agent will generate quiz questions that read like a Year 12 legal studies exam. We had to rewrite the source material for one client before the quiz output became actually usable for frontline staff. That work is unavoidable but worth budgeting for.

The template is also tied to the Microsoft 365 Copilot licence. If your company is part of the way through a Copilot rollout and not everyone has a licence yet, you will have to pick your audience deliberately rather than just shipping it to all staff. We have written about that licensing question in more depth on the Copilot training page and it comes up in nearly every conversation.

One last thing to watch. The Quiz Tutor generates questions on the fly, which means the same training session can produce slightly different questions each time. For most use cases that is a feature. For regulated training where audit teams want to see exactly what was asked, it is a problem. You can constrain the agent to a fixed pool of questions, but you lose some of the adaptive quality when you do.

How to actually get started

If you want to try this in your organisation, the path I would recommend is dull but it works.

Pick one body of training material that is currently failing. Pick the smallest possible audience. Twenty to fifty people, ideally a single team. Get the source content into a SharePoint location with the permissions you actually want enforced. Deploy the Quiz Tutor template against that source. Let the team use it for two weeks. Then measure.

What you are measuring is not engagement. Engagement on a new tool is always good for the first two weeks. What you are measuring is whether comprehension went up against whatever your existing assessment is. If you do not have a baseline assessment, build one before you deploy the agent, otherwise you will have no honest way to evaluate.

If you want help thinking through whether this is the right starting point for your organisation, the business AI training practice at Team 400 spends a lot of time on exactly this kind of question. We can also help with the underlying agentic automation work if it turns out that the agent should not stop at quizzing and should actually start doing some of the work for the user.

The Quiz Tutor template is not flashy. It will not show up in a keynote at Build. But for a learning and development team that has spent five years trying to make e-learning stick, it is one of the better things Microsoft has shipped this year.

Original Microsoft documentation: Quiz Tutor agent template