# Quant Tracker (QT)

### Why Do We Need a QT?

During a project, there are **certain data points that we want to track systematically over the entire interview program**. Some examples that come to mind might be NPS or satisfaction metrics, spend or growth levels, or key purchase criteria.

The Quant Tracker **automates the extraction of these data points** and pipes them into an easy, birds-eye **tabular view** for your team to get a snapshot of the answer emerging from the research. 

In the old world, this would be a manual exercise for a junior analyst at the end of a long day of conducting calls - now, Junior can do it all for you, minutes after a transcript is uploaded onto the platform.

### Setting Up

If you've uploaded an Interview Guide, Junior will automatically create a Quant Tracker for you!

If you want to create on yourself, you just need to:

1. Name it
2. Connect it to an interview segment
   * This ensures that the QT is scoped only for the specific interview segment
   * It allows you to set up a QT using the segment's interview guide
   * Selecting no segment means the QT will run for all calls uploaded to your project

{% @arcade/embed flowId="V63LrAwxwAxRYppbuiCI" url="<https://app.arcade.software/share/V63LrAwxwAxRYppbuiCI>" %}

### Editing Columns

When you add a question to the QT, Junior:

1. Generalizes the question to do a better job at finding the answer
2. Rewrites the question to look good on the column header
3. Interprets the data type (number / list / percent / ..)

If you ever need to override these parameters, you can do so as follows:

{% @arcade/embed flowId="QD3tXbroCwZCIAQx0BIe" url="<https://app.arcade.software/share/QD3tXbroCwZCIAQx0BIe>" %}

Next, let's look at how to [review the output](https://docs.myjunior.ai/quantitative-data-extraction/quant-tracker-qt/interpreting-output) of the Quant Tracker.


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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://docs.myjunior.ai/quantitative-data-extraction/quant-tracker-qt.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.