Product discovery work tends to generate lots of information. We have designed searching in Aha! Discovery to help you sort through all that data and find the exact record you need — fast.
Search your account
To search through your Aha! account, click the search icon in the top-right of your screen or type the / key to open the search modal with a keyboard shortcut . It will display the last 20 records you viewed. If one of these is the record you were looking for, click it to close the search modal and open the record's drawer.
Don't see what you're looking for? Start typing to search through your Aha! account. Search by record name, ID, related text, or user's name , or use search syntax to perform an advanced search.
As you type, your Aha! account will generate search results, and the Filter by bar will appear on the right side of the modal. Use it to filter your results by Record type or by Workspace.
Search syntax
Search in Aha! Discovery supports the following syntax. Use these options to help optimize your search.
Prefix search
Appending an asterisk (*) to a word will search for all words that include the prefix. This allows for distinguishing between exact match versus prefix match results.
For example:
Query |
Result |
author* |
Records containing "author," "authorize," "authorization," "authority," etc. |
APP-12 |
Records that match APP-12 only, and not "APP-121," "APP-122," "APP-1231," etc. |
Combining words
Boolean operators for combining words allow you more control over the outcome of the search results. Boolean operators include AND, OR, and NOT and can be combined with parentheses.
For example:
Query |
Result |
dashboard OR report |
Records containing a reference to either "dashboard" or "report" |
dashboard AND report |
Records containing a reference to both "dashboard" and "report" |
dashboard NOT report |
Records containing a reference "dashboard" but do not contain "report" |
(dashboard OR report) editor |
Records containing a reference to either "dashboard" or "report," but must also contain a reference to "editor" |
Boolean operators must be in all capital letters.
User mentions
Use @mentions in your search queries to include Aha! users.
For example:
Query |
Result |
@fred |
Records where Fred is the user's name |
Phrase queries
Use quotation marks to search for an exact phrase match.
For example:
Query |
Result |
"Q4 Interview with Aerocycle" |
Interviews that include the exact phrase "Q4 Interview with Aerocycle" |
AI-powered search
Enable AI-powered base search to type natural-language questions and get relevant results instantly. In addition to traditional search, ask questions like "What interviews are scheduled this week?" or, "Which studies where in progress last month?" The AI assistant sorts through all your product data and provides an easy-to-scan list of relevant records.
Your Aha! account content is not used to train AI models.
AI-powered search is enabled in your Aha! account by default. Administrators with customizations permissions can enable or disable it by navigating to Settings ⚙️ -> Account -> Security and single sign-on -> AI Control.
When a user in your Aha! account types a query, the AI assistant analyzes their query's length, keywords, and semantic structure to determine the type of search results they might be looking for. For example, searches using interrogative pronouns like "how" and "what" that are phrased like a question are likely to return an AI chat section, and single-word queries are more likely to return traditional search results.
If AI search determines that a summary will be useful, it will return both traditional search results and an AI chat section. Visitors can expand the chat section to read more and ask followup questions to narrow in on the specific information they need.
Currently, you can use these parameters to filter AI search results:
Assignee
Workspace
Created date
Start date
Due date
Status category
Status
Last status change date
To see the difference, try searching your Aha! account for a study's name. Then search for "Find studies created this month." Both search queries will return traditional results, but the longer query will also return the AI chat section and allow you to ask a follow-up question.