# Recognition-led exercises ("quiz")

Creating a recognition-led exercise ("quiz") in Colibri is designed to be as fast as possible. Paste a policy of your choice into the starting field and our AI Assistant LISA will generate the exercise for you - and it's ready to run immediately on completion. This generated quiz will always have: 

* A **welcome** data point
* **Ten unique questions** based on your policy (all of these will be choice questions)
* Preconfigured **scoring for each question**
* An **alternate ending** depending on the results of a **score check** (participants will know whether they passed or not)

## Workflow

{% stepper %}
{% step %}

### Select your policy

Choose the policy you want to quiz your participants on. 
{% endstep %}

{% step %}

### Input your policy

Simply copy your policy and paste it into the Colibri Editor:

<div align="left"><figure><img src="/files/WcGCEqiZYKfRbxxGYvR8" alt="" width="400"><figcaption></figcaption></figure></div>
{% endstep %}

{% step %}

### LISA will generate a quiz based on your policy

<div align="left"><figure><img src="/files/hbGYgZuDIeFXt1FtCYPh" alt=""><figcaption></figcaption></figure></div>
{% endstep %}

{% step %}

### Review and edit the questions and options in the scenario table

<figure><img src="/files/RBUOsvp4OL2pFzynwzkv" alt=""><figcaption></figcaption></figure>
{% endstep %}
{% endstepper %}

### &#x20;Considerations

* Despite LISA being good at her job please do check her work!


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://helpdocs.conducttr.com/colibri/getting-started/creating-your-colibri-exercise/recommended-workflow/recognition-led-exercises-quiz.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.