“A search engine is only as good as the information it has been told to search.”

In the previous article, we explored how administrators decide which tables participate in the Dataverse Search Index. We learned that not every table belongs in the search index, and that careful planning is essential for building a scalable and relevant search experience.

But selecting a table is only half of the equation.

The next question is arguably even more important:

When a user searches that table, which fields should Dataverse search, what information should be displayed, and which records should qualify?

The answer lies in one of the most important but often overlooked components of Dataverse:

The Quick Find View.

Despite its name, the Quick Find View is much more than a legacy search feature. It acts as the search blueprint for every searchable table, defining how Dataverse Search interprets, filters, and presents information to users.

In this article, we’ll explore how the Quick Find View works, how it influences Dataverse Search, and the best practices for designing an intuitive and efficient search experience.

Quick Find View – More Than Just “Quick Find”

Many developers assume the Quick Find View only affects the old Quick Find search experience.

In reality, Microsoft uses the Quick Find View as the configuration that defines the searchable experience for a table.

Think of it as a blueprint.

                  Dataverse Table
                         │
                         ▼
                 Quick Find View
                         │
      ┌──────────────────┼──────────────────┐
      ▼                  ▼                  ▼
 Find Columns      View Columns      Filter Conditions
                         │
                         ▼
              Dataverse Search Index
                         │
                         ▼
                 Search Results

It doesn’t perform the search itself.

Instead, it tells Dataverse:

• Which fields users can search.
• Which information appears in the results.
• Which records are eligible to appear.

Anatomy of a Quick Find View

Every Quick Find View contains three key components.

Each serves a different purpose.

1. Find Columns

Find Columns answer one simple question:

What can users search?

Whenever a user types into the global search bar, Dataverse compares the search term against these configured fields.

Typical Find Columns might include:

• Account Name
• Account Number
• Email Address
• Phone Number
• City

If a field isn’t configured as a Find Column, users generally won’t be able to locate records using that value.

Good Find Columns

• Customer Name
• Reference Number
• Email Address
• Phone Number
• Policy Number
• Case Number

Poor Find Columns

• Description
• Internal Notes
• Long Text Comments
• Integration Status
• JSON Payloads

The objective isn’t to make every field searchable it’s to make the right fields searchable.

2. View Columns

Once Dataverse finds a matching record, users need enough information to identify the correct result.

That’s the role of View Columns.

For example:

Contoso Pty Ltd
Account Number: ACC-10458
Sydney
Active

Notice that View Columns don’t determine whether a record is found.

They simply control what users see after the search.

Good View Columns help users distinguish between similar records quickly.

3. Filter Conditions

The final component determines which records are even considered during a search.

Imagine a filter condition configured as:

Status = Active

Now consider two Accounts.

Contoso Pty Ltd
Status = Active
Contoso Pty Ltd
Status = Inactive

Even though both match the search term, only the active record appears because the inactive record doesn’t satisfy the filter.

Filter Conditions act as the gatekeepers of the search experience.

Supported Searchable Columns

Microsoft supports a wide range of column types within the Quick Find View.

Common examples include:

• Single Line of Text
• Multiple Lines of Text
• Choice (Option Set)
• Lookup
• Email
• Phone Number
• Primary Name

These are ideal because they’re the types of information users naturally search.

When designing a search experience, think about business identifiers, not database columns.

Unsupported Operators

One area that surprises many administrators is that not every filter operator supported by Dataverse Views is supported in the Quick Find View.

Examples of operators that aren’t supported include:

• Like
• Not Like
• Begins With
• Ends With
• Under
• Not Under
• Null
• Not Null

This is intentional.

Dataverse Search is designed for fast, indexed retrieval rather than complex relational filtering.

If your filtering logic becomes overly sophisticated, it probably belongs in an Advanced Find or a custom view instead of the search experience.

Related Tables and Search

A common misconception is that Dataverse Search automatically traverses relationships.

For example:

Account
↓
Primary Contact
↓
Email Address

Although users can navigate relationships within forms, Dataverse Search doesn’t automatically search related table fields simply because they’re displayed on a form.

Search is based on the fields defined within the searchable table’s configuration.

If users need to search a related entity frequently, consider whether that information belongs directly on the searchable table or whether a separate search strategy is more appropriate.

Designing a Great Search Experience

The best search experiences are built around how users think.

Ask yourself:

If I were sitting in front of this application, what would I type?

Typical examples include:

• Customer Name
• Email Address
• Phone Number
• Policy Number
• Case Number
• Vehicle Registration
• Invoice Number

Those are the fields that should usually appear in your Find Columns.

On the other hand, users almost never search for:

• Created By
• Modified By
• Internal Status Codes
• Synchronisation IDs
• Integration Keys

Adding too many searchable fields increases noise and reduces the quality of search results.

Common Design Mistakes

Some of the most common Quick Find View mistakes include:

• Adding every available column to Find Columns.
• Displaying too many View Columns.
• Searching long description fields.
• Ignoring Filter Conditions.
• Using technical identifiers instead of business identifiers.
• Forgetting to review the Quick Find View after introducing new business processes.

Remember:

A cluttered Quick Find View often produces cluttered search results.

Bringing Everything Together

The Quick Find View acts as the bridge between your business data and the Dataverse Search Index.

Business Table
        │
        ▼
Quick Find View
        │
 ┌──────┼────────┐
 ▼      ▼        ▼
Find  View   Filter
Columns Columns Conditions
        │
        ▼
Dataverse Search Index
        │
        ▼
Relevant Search Results

Every search begins with the decisions you’ve made inside the Quick Find View.

Those decisions ultimately determine whether users can find the right information quickly—or whether they become frustrated by poor search results.