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Search and discover

Who can use this feature

👤 Available on Professional and Enterprise plans

Overview

Use our advanced search functionality to find insights, ask questions, and discover new data from your workspace. Quickly find exactly what you need with quick search, and utilize exact search matching and filters to refine your search results further with deep search.


How search works

Dovetail's core search experience uses keyword search to display a list of results based on keywords.

To start a quick search, click on the search bar or press K or Ctrl K on your keyboard and enter your query. Quick search will display projects, folders, insights, and notes with matching titles wherever they are in your workspace.

💡 Tip: Longer queries will return more accurate search results. This means you can enter your search using natural language and in a way that makes sense to you. For example, “user problems with search interface”, “reasons for customer churn”, “why users are angry at <company>”.


Summarize your search results

Anyone can gather evidence to inform a question they have about their customer's pain points, use cases, or problems with magic search summaries.

By default, search summaries uses a combined keyword and semantic search algorithm that aims to understand and engage with a search query in a way that mirrors how humans communicate. This means that if you enter a question for your search query, the magic summary will not only pull from keywords, but unearth data across Projects and Channels based on meaning, intent, and context.

Search summaries are automatically generated to include the most relevant results to your search query. You can also manually generate one by clicking Summarize in the top right on the search page.

💡 Tip: Use filters to refine your magic summary. For example, you can choose to filter by a specific folder and date range to generate a magic summary that uses results matching those filters. This may be useful if you’re interested in focusing on specific team or project work.


Refine your search results

After entering your search, you may want to refine the search results further. Dovetail offers multiple ways to do this.

Return exact matches

Add quotation marks to your search terms to return exact results for that phrase. For example "keyword" to search for an exact term.

Without quotes, searches may also include results for similar terms (for instance, issues containing "test" may show up in a search for "testing").

Filter search results

Dovetail’s search supports filtering results by the following objects.

  • Title (text) – The plain title of the project, note, tag, or insight.

  • Content (text) – The content of the note, tag, insight, or highlight.

  • Note (multi select) – A specific note.

  • Tag (multi select) – A specific tag.

  • Project (multi select) – A specific project.

  • Folder (multi select) – A specific folder.

  • Note board (multi select) – A specific note board.

  • Note group (multi select) – A specific note group.

  • Tag board (multi select) – A specific tag board.

  • Tag group (multi select) – A specific tag group.

  • Created (date) – When the object was created.

  • Updated (date) – When the object was last updated.

Please note that not every filter listed will be available when looking at specific objects in search. For example, you won’t be able to filter by 'published’ when looking at notes only as you are unable to publish notes.

Sort your results

By default, results are sorted by Relevance, but this can be changed to their Created or Updated date or alphabetically by Name by adjusting the sorting filter at the left of the filter bar.


Ask a question about Dovetail data in Slack

The power of Magic search summaries isn't limited to users in a Dovetail workspace. With our Slack integration add-on, anyone in your organization can quickly ask a question about data stored in Dovetail to get the information they need to unblock their work.

With Ask add-on, anyone within a Slack instance can:

  • Engage with conversational AI to ask questions in Slack. For example, a user could ask, "What do new users struggle with during onboarding?", and receive a summary based on customer feedback, with citations to the source data.

  • Keep up-to-date with the latest insights via text or audio digests. These digests can be scheduled to proactively deliver important insights and information easy-to-consume format. These digests include summaries, key points, and (if delivered in audio format) clips of customer quotes.

At this time, Ask in Slack is available to purchase as an add-on for Enterprise workspaces. Learn more →

FAQs


Do you train on user data for semantic search or magic summaries?

No, we use a generic AI model and don’t feed it any training data to ensure user data is kept private.

Is there a hierarchy to how objects "rank" in search results?

At a high level, search pulls what is determined as most relevant to the query. Due to this, insights and highlights are more likely to "rank" higher in the results as the data on these objects are more refined and targeted.

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Last updated 2 April 2025

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