> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dovetail.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Customize your project views
No two people use projects in the same way. In this lesson, we’ll discuss how to create views in projects, how they can be customized to accommodate in-depth analysis workflows, and common views used for organizing your data for analysis and making sense of your highlights.
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## What are views?
Views give you control over how you see your data in a project. They are flexible, meaning you can decide what you want to see and how you want to see it. Typically, when you create a new blank project, you'll see a default view of your notes and insights on a grid and highlights on a board.
As a project is a database for related data and highlights, you can change the way you view the same set of data. For example, you can have one view of your data in a grid and a second view of your data on a board.
Views are more powerful when used alongside data [fields](https://dovetail.com/academy/segment-your-data-with-fields/). Within each view, you can customize how content is organized and what content is displayed in two ways – filter and group by.
* Use **Filter** to display content only relevant to that view. For example, choose to filter for highlights that correspond to a particular tag.
* **Group by** allows you to structure your board view by field. For example, group your data by segment, persona, or demographic.
How you've set up your data fields can determine whether or not a note is
visible in one group over another.
Alongside grid view, a common way to view your notes and insights is on a board. Board view helps you visualize segments of your data. Board organizes your data into groups. These groups are created when adding properties to single and multi-select [fields](https://dovetail.com/academy/segment-your-data-with-fields/) in your data.
* To update your view to a board, open the menu **Data** in the top left corner, click **+ New view**, then select **Board.**
* From there, select which note field to group your notes with under **Group by.**
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## Organize a project to analyze multiple data types
It's common for researchers to use mixed methods for gathering customer feedback for a project. For example, conducting a round of interviews alongside a supporting survey investigating the same topic. You can leverage fields and views together to organize these two data types within a single project to ensure they are analyzed together.
In this example, we'll walk through how to set up a project for a related set of survey responses and customer interviews.
* To update your view to a board, open the menu **Data** in the top left
corner, click **+ New view**, then select **Board**. - From there, select
which note field to group your notes with under **Group by**.
* Open one of your imported interviews and create a data field. Enter a
title like `Data type` and enter value of `Interview`. For your interview,
save the field value as `Interviews` to categorize that specific data
object.
* Select all interview data in your project and add the field value
`Interview`. - Once you have created your field and added to any existing
data, click **Filter** then select **More**. From there, filter by **Field**
and select the field type `Interview`.
* Add a column titled `Data type` and add `Survey` to all rows in your CSV
data. - Open your project and import your survey data as a CSV file.
Dovetail will automatically detect the field data and map accordingly at
import.
* In the top left corner of your project, click **Filter**, then **All** to
open a dropdown menu. In this menu, click **+ New view**, then select
**Table**. - In the top menu, click **More**, filter by **Field** and select
the field type `Surveys`. This will then filter to show only survey data
housed in your project.
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## Affinity map highlights with canvas
Once you have a few highlights created across your notes, you'll start to see themes in your raw data. If you're used to working with post-it notes or digital whiteboard tools like Miro, you can collaborate with your team in canvas view to group highlights into themes.
We recommend taking advantage of magic cluster as a starting point to review and refine themes across important moments captured in highlights.
* To do this, open **Highlights** in your project. You will see all highlights created in the toolbar on a canvas.
* Start by selecting **All highlights** to add to your canvas. Once on your canvas, select **Cluster** to group highlights automatically.
* From there, you can manually move your highlights around the canvas to re-group, re-label, or add new groups to your working.
For groups you wish to elevate and summarize into a single page to share with your team, click on into the group and select **Add to insight** from the menu. This will create a new insight in your project with relevant data points from your canvas.
If working with video or audio highlights from customer interviews, usability tests, concept testing or sales calls, any insight created will automatically stitch together all clips into a single reel that you can share.