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  • Qualtrics Platform
    Qualtrics Platform
  • Customer Journey Optimizer
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  • XM Discover
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  • Qualtrics Social Connect
    Qualtrics Social Connect

Searching & Filtering Directory Contacts


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About Searching and Filtering Directory Contacts

Finding contacts in the directory is made easier by searching and filtering. You can use a simple search to find the desired person, or you can build incredibly complex searches to be saved and re-used for later.

Qtip: This page only refers to searching and filtering contacts in XM Directory.

Searching Contacts

You can search contacts using the search bar on the upper-left. Type in a search term and press Enter on your keyboard to search. Click the X next to a search term to clear it from the search bar.

term in search bar is highlighting content in columns to draw the eye to relevant results

Qtip: You cannot use the search bar when you have a filter applied. If you want to combine the two, make a search first, then click Advanced Search to start building a filter.

When filtering your directory, there are many fields you can choose from to narrow down your search.

You can search by these default fields:

  • First Name
  • Last Name
  • Email
  • External Data Reference
  • Phone Number

If you have edited one of these columns out by default, the search bar will still look through these fields, and temporarily add a column for the applicable term when a match is found.

Qtip: You may not be able to search by a value if it just changed. If a result you know should appear isn’t included, click the account icon and click Refresh Account.
the refresh account option in the account settings menu
Qtip: You can hit Enter to generate results for search terms under 4 characters.
Qtip: Some brands can only search by name and email address, and will not see highlighting. If you are interested in moving over to a new XM Directory experience, reach out to your XM Success Manager.

Adding a Filter

Qtip: This section covers the basics of adding a filter. Read on to learn about building more complex filters!
  1. Click Advanced search next to the search bar.
    Advanced search link next to the search bar
  2. In the first field, decide what kind of information you’d like to filter by.
    Advanced search is opened. In the first field, the drop down reveals fields you can filter by
  3. Fill out the following fields according to your desired filter.

    Example: Here, I only want contacts who have received 30 or more survey invites. So my next fields say “Total Invites Greater Than or Equal to 30.”

    image of an example filter criteria. This filter is set to show contacts with the Statistic, "Total Invites" greater than or equal to 30.

    Qtip: If your greater than/less than filters are not displaying correctly, be sure to check the value type. Only numbers and decimals can be used as values in greater then/less than filters.
  4. When you’re done, click Apply Filter.

All and Any Sets

Qtip: You can add up to 10 conditions on a set.

You add statements to your condition by clicking New Condition, or by highlighting over the previous condition and clicking the plus sign (+).

The plus sign next to the first condition and the new condition button at the bottom of the filter are highlighted to indicate they created the second condition

Whenever you have more than one condition, you’ll need to decide how the conditions are connected to each other. Do both conditions need to be met (e.g., a response must be from a particular month AND for a specific manager to be included)? Or does only one of the conditions need to be true (e.g., data may be included in the report if it was collected either in the Northeast OR the Southeast)?

Conditions linked by an AND conjunction are called ALL condition sets (i.e., “only show data where ALL of these conditions are true”). Conditions linked by an OR conjunction are called ANY condition sets (i.e., “only show data where ANY of these conditions are true”).

Example: Look at the following screenshot. Because “All of the following must be true” is being used, this filter will capture everyone from the City of Topeka who is ALSO opted-in. Contacts opted in who aren’t from Topeka and contacts who are from Topeka but not opted in will not be included.
All of the following are true: embedded data city is equal to Topeka, opt-out status is opted in

Condition Sets

Conditions within the same Condition Set are all indented the same amount and are beneath the same ALL/ANY header.

There are two condition sets indented on the same level that start with all of the following are true. These two sets are indented under an Any of the following are true

You can create new condition groups by clicking New Condition Set. This will nest a new condition set under the condition set you’re currently working on.

New condition set button under the filters

At any point, you can delete an entire condition set by hovering over the ANY/ALL header and clicking the minus sign (). Note that this deletes all conditions nested underneath, including additional condition sets!

A minus sign next to the Any. The content that would be deleted is highlighted

Nesting Logic

Nesting condition sets allows you to create more advanced criteria to filter your data by.

A complex filter that will be explained below

This report will only include responses from people who are from the USA and have a qualtrics.com email address OR who are from the UK and have a qualtrics.co.uk email address.

In the above example, the very outermost group is an ANY group. People are either one thing OR they’re another. Nested within that ANY group are two ALL groups:

  • People who are from the USA and have a qualtrics.com email address
  • People who are from the UK and have a qualtrics.co.uk email address

Essentially, you’ll make a new condition set every time you want to switch from an ANY to an ALL (and vice versa).

With this structure, it is therefore very important to consider which type of group (ALL or ANY) is your very outermost group before you start adding conditions and nesting. The question to ask is whether, at the highest level, you are looking for responses that meet all necessary conditions (ALL group) or are you looking for responses that meet one or more of possible conditions (ANY group).

Nesting Basics

  • Clicking New Condition will add a new statement within the same condition set.
  • Clicking New Condition Set will nest a new condition set under the one you’re working on.
  • Click the minus sign () next to a statement to delete it.
  • Clicking the minus sign () to the right of a condition set’s header will delete the whole group and everything inside it, so be careful!
  • To nest ANY/ALL headers directly above each other, like in the examples above, delete the condition just below the header.
    Under the first conjunction is an empty condition with a minus sign next to it
    One condition set conjunction leads directly to the next without nesting different levels
  • You can only do two levels of nesting.

Saving Filters

While you’re creating a filter, you can save that filter to use again later.

image of the filtering window. The "save and name this filter" checkbox is activated for saving filter conditions

  1. Select Save and name this filter.
  2. Name the filter.
  3. Click Apply filter.

Once your filters are saved, you can access them from the Saved Filters dropdown in the upper-right corner.

In the upper-right of the Advanced Filters window, the Saved Filters dropdown

When you have a saved filter applied, you can also choose to duplicate it, delete it, or rename it.

Advanced search window is open with a saved filter applied. In the upper-left, we see buttons that say: Duplicate filter, delete filter, and rename filter

Removing Filters

Once you’ve applied a filter, you can remove it by clicking the X next to it. Or, if you prefer, you can click the name of the filter to change the criteria.

Remove filter option on upper-left

Qtip: If you have saved your filter, this will not delete it.

Choosing Which Contact Info Columns to Display

Qtip: If you don’t see the options for customizing contact info columns shown here, and are interested in moving over to a new XM Directory experience, reach out to your XM Success Manager.

You can change the default columns of contact information that are included in all mailing lists, segments, samples, and the directory.

Qtip: These are the default contact columns for your account in a specific directory. If you edit these columns in the directory, and then switch to mailing lists, the same columns will appear. If you have multiple directories, you can create a separate column layout for each directory.
  1. Once inside the directory or a mailing list, click the edit icon.
    Icon looks like a column with an eye on it, and when hovered over, the words Edit table columns appears
  2. Search and click fields on the left to add them to the list of columns you want to include.
    Numbering elements - the search bar is to the left, over the list of columns. On the right, on each possible column, buttons for moving up and down and an minus for deletion
  3. Click the dot icon to drag and drop items in order.
  4. Click the minus sign (  ) next to a field to remove it from the list of columns.
  5. Click Save when you’re done.
Qtip: Click Reset to default to return to the default column list: Status, First Name, Last Name, Email, Reference ID, and Language.
Qtip: This editor just adjusts the columns you see by default – it will not add or remove data from a contact’s information.

Columns you can include

Qtip: To learn about how some of these default, customizable fields (Language, Email, Phone Number, etc.) should be formatted, see Creating Mailing Lists.
Qtip: If you have access to a limited version of XM Directory (e.g., no directory, contacts only), the fields described as directory-wide are actually mailing list-specific. If your brand has full access to XM Directory, you’ll see directory-wide details, regardless of whether you have permission to view the directory or not.
  • Status: Whether the contact is opted into or out of the mailing list / directory.
  • First Name and Last Name: The first and last name of the contact.
  • Email: The email address of the contact.
  • Reference ID: The External Data Reference column you filled out when uploading a mailing list.
  • Language: The two-letter language code that specifies what language messages the respondent should receive, in the event you upload translations for your emails.
  • Created: When the contact was first uploaded to the directory.
  • Last Modified: When the contact was last modified. This includes updates to contact data and embedded data for the contact.
  • Phone Number: The phone number of the contact.
  • Average Response Time: The average time it took the respondent to complete each survey invite they were sent, in minutes. This includes all responses they completed from surveys sent from mailing lists throughout the directory.
  • Last Email: The last time an email was sent to this address. This includes emails sent to the contact from different mailing lists. Emails that were sent but bounced are counted, but emails that failed to send are not counted. This is the last email sent from any mailing list in the directory.
  • Last Invite Received: The last survey invite (not reminder, thank you, or non-survey email) that was sent to this address. This includes emails sent to the contact from different mailing lists. Emails that were sent but bounced are counted, but emails that failed to send are not counted. This is the last invite sent from any mailing list in the directory.
  • Last Response: The last survey response this contact completed. Only complete responses, not incomplete responses or responses in progress, are included. This is the last response sent from any mailing list in the directory.
  • Response Rate: The percent of invites the contact is sent that they actually complete. The percentage is shown as a ratio, so 50% become 0.5. Only complete responses, not incomplete responses or responses in progress, are included. This is a directory-wide response rate, not just for survey responses sent from the selected mailing list.
  • Total Emails: The total number of emails that have been sent to the contact from any mailing list in the directory. This includes invites, reminders, thank yous, and emails without survey links.
  • Total Invites: The total number of invites (not reminders or thank you emails) that have been sent to this contact from any mailing list in the directory.
  • Total Responses: The total number of survey responses the contact has completed, regardless of which mailing list in the directory the survey invitation was sent to.
  • All embedded data listed in the brand

Pinning columns

You can pin a column to automatically move it to the front of the list.

Qtip: You can still remove pinned columns.
  1. Click the arrow next to the column you want to pin.
    downward arrow next to column opens small menu
  2. Click Pin Column.
  3. Note how the column moves and is divided from the previous columns.
    Column that is pinned has moved to be the leftmost column

Removing columns

You can remove a column in the editor, but you can also remove a column by clicking the arow next to the header and selecting Remove Column.

Remove column option under the arrow

FAQs