Searching your data, projects and insights

Learn about how to find answers from your feedback and insights housed in your EnjoyHQ account.


This article applies to: ehq tiny logo.png EnjoyHQ


On this page:



About EnjoyHQ search engine


  • You can search in a few main areas of the app:
    • Search the Feedback and People in your account in the Search section.
    • Search data inside the Data and Analysis Board sections of a Project.
    • Keyword search for Projects in the projects section.
    • Keyword search for Stories and featured Project Reports in the Stories section.
  • The search bars in the Projects and Stories pages are "exact match" keyword searches.
    • Prefix searching is also enabled.
    • For example, searching for "real" would also yield real-time, realize, reality, etc. 
  • Project titles and descriptions are searchable via the Projects page and will return exact matches found in the Project’s title, description, plan, or report content.
  • Titles and the content inside both Stories and featured Project Reports are searchable via the Stories page.



Searching data

EnjoyHQ has a variety of filters that help you get to the data you are looking for easily. Here are some of the most popular filters:


  • Documents: Search through all your data.
  • Highlights: Search through highlights or text snippets you or your team highlighted.
  • People: Filter by specific customer data like customer segment, company name, features they use, or any other information related to your customers.

Each top-level category can then be filtered by several attributes, including, but not limited to:

  • Content: This filter will help you search for all the content of a document. For documents imported from support systems (Zendesk, Intercom, etc.) this will only represent content created by your customers; agent replies are not included.
  • Full content: This filter allows you to search for any content within the document, including filtered-out parts like agent replies in support tickets.
  • Created: Filter by the date the feedback was given or the date the document was created.
  • Tag: Filter by your tags.
  • Property: Filter by properties assigned to documents, highlights, or customers.
  • Sentiment: Filter by sentiment assigned by the system automatically or sentiment you assign manually.
  • Read By: This will filter feedback that was read (or not!) by a team member or by you.
  • Assigned To: This will filter documents assigned to you or team members.
  • Source: This will help you filter feedback by specific sources like email, your customer support system, video format, etc.
  • Project: You can filter data by a specific research project.
  • Has: This is an interesting filter that allows you to filter data that "has" for example tags, highlights, or any other characteristic. The opposite can be done too. Imagine you want to filter data that does not have any tags, you can do that by using this filter.
  • Subject: Filter data only by the content of the subject line. This works best for sources like email.
  • Metadata: You can filter by any metadata associated with your data, for example, the version of your mobile app or the rating on the AppStore.
  • Uploaded: This helps you filter feedback by the date it was uploaded to EnjoyHQ.



Types of search filters

Broadly, any fields that contain text data can be filtered in various ways:

  • exact match: Find items with the exact phrase. This is the only filter that can handle multi-word filters.
  • similar to: Does a distance-based matching of a word, not a phrase. It will capture typos, plurals, and words that are similar enough to your input. It doesn't do any synonym matching.
  • starts/ends: Find items with words starting/ending with your input.


  • You can combine these field filters with operators like OR and AND so your queries can be as granular as you like.
  • If you need even more powerful filters, you can group different query parts for super-precise searches:
  • This will find feedback where it's either coming from and mentions the word "pricey" OR contains word similar to "expensive" and is coming from people in the "business professional" segment.



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