# Data Explorer

Data Explorer gives you full independence to discover, preview, and configure all the data points available to you in GoodFit. You can explore additional fields you may not have used before, and customise configurable data points such as team composition or hiring activity. This gives you far more control over how your dataset is structured and ensures that your GoodFit data always reflects your strategic needs.

### What is it?

Data Explorer is a complete catalogue of the data points available inside the GoodFit platform. You can browse fields, view definitions and preview data points on your companies. You can also see which data points are already included in your dataset and which ones you might want to add next.

For configurable data points such as hiring or team composition, you can edit your existing configurations or create entirely new ones whenever your strategy changes. Data Explorer is designed to make this process simple and self-serve.

There are a small number of fields not available in Data Explorer, as they require more complex technical setup. If you cannot find a data point that you are looking for, contact us and we will can work out how to capture it for you.

### Why is it useful?

Data Explorer strengthens your ability to segment, score, and understand the companies you are selling to by enriching them with more relevant data. When you have more visibility into each account, segmentation becomes clearer, scoring becomes more accurate, and downstream teams are better equipped to act on the insights.

By enriching your dataset with more relevant data points, you can:

* Identify which companies should be enrolled in a specific campaign
* Define the persona that a message should be sent to
* Increase or decrease scoring based on attributes a company has
* Pull data directly into your messaging (for example, referencing specific technologies they use)
* Distribute accounts or define territories using additional fields such as revenue or primary location

### How it works

You can access Data Explorer directly from the Companies page or the Data Directory. Select Add data to open the Data Explorer modal.

<figure><img src="/files/CawrjwFQeWA9RYX9eRn9" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/WOSyOdjUa9Q0hqLRYCSa" alt=""><figcaption></figcaption></figure>

Some data points in Data Explorer are configurable, allowing you to tailor how companies are identified based on your criteria. For example, if you want to find companies hiring for data science roles, you can configure the hiring data point by defining relevant keywords that GoodFit will then use to search job advertisements, ensuring the results reflect your specific definition of that role.

<figure><img src="/files/sq5oUrWYNWh5QATtaRHN" alt=""><figcaption></figcaption></figure>

Inside the Data Explorer modal, you can:

* Browse the full list of available data points
* View definitions and sample values (from up to ten accounts in your dataset)
* Search or filter to narrow down the options
* Edit existing configurations
* Create new configurations for configurable data points

Once you select the data points you want, they are sent to our team for approval. As soon as they are approved, these data points will appear in your dataset and become available across your GoodFit workflows, including segmentation.

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMPh5iOobj4telctyJWpa%2Fuploads%2FanCIFtPYm96IazJkOfVP%2FData%20Explorer.mp4?alt=media&token=a4af837a-2c07-4760-9e4b-c6041e059807>" %}


---

# 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.goodfit.io/goodfit-docs/product/data-explorer.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.