ceven

Dovetail

Streams research data and interview transcripts into your workflow, synthesizes raw notes into structured insights, and maps customer feedback to product roadmaps in real time.

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Why use Ceven?

  1. AI native Dovetail integration

    • Describe the outcome and Ceven picks the right Dovetail calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Dovetail data, across all 51 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Dovetail access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Dovetail, when, and on whose behalf.
    • The agent pauses and asks when Dovetail is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Dovetail.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Dovetail action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Dovetail, and when to use it.

Create Channel
Use this when you need to set up a new data stream or project folder to hold interviews and surveys.
Create Contact
Use this to register a new research participant before logging their interactions or interviews.
Create Data Point
Use this to upload new content or transcription text and classify it within a specific channel.
Create Insight
Use this to store a synthesized finding after the agent analyzes research patterns.
Create Topic
Use this to define a new thematic category within a channel for better data organization.
Delete Channel
Use this to move a channel to the trash. Note that items stay recoverable for 30 days.
Delete Topic
Use this to remove a specific tag or topic from your project classification system.
Get Note
Pull full metadata and content for a specific research note using its unique ID.
List Contacts
Retrieve the full directory of research participants associated with your workspace.
List Data
Pull and filter through workspace data items using cursor based pagination.
List Highlights
Retrieve all highlighted snippets of text across your research repository.
List Notes
Pull a complete list of all research notes stored in the workspace.
List Projects
Get a high level list of all active and archived research projects.
List Tags
Retrieve all existing tags to ensure consistent naming when creating new ones.
Magic Search
Search across highlights, notes, and insights using natural language queries.
Update Topic
Use this to rename a topic or modify its description to better reflect research findings.
Get Token Info
Tool to get information about the current api token. use after authenticating to verify token scopes and expiry.
List User Insights
Tool to list insights for a specific user. use when you need to retrieve all personal insights associated with a user id.

18 actions · scroll to see them all

Frequently asked questions

Ceven operates using the permissions assigned to the API token provided during the connection process. If the token has read only access to certain projects, the agent cannot create insights or modify topics in those areas. We recommend using a dedicated service account with specific workspace roles to ensure the agent has the necessary access to create data points and channels while restricting access to sensitive administrative settings. All actions performed by the agent are logged under the identity of the token owner, providing a clear audit trail of every change made to your research repository.
Ceven interacts with the text transcriptions and metadata generated by Dovetail. While Dovetail handles the heavy lifting of transcription and audio processing, Ceven reads the resulting text data points and highlights. You can use the agent to search for specific keywords in transcripts or to summarize the key themes found in the text. If you need to organize audio files, the agent can manage the channels and projects they live in, but the actual linguistic analysis happens on the text layer produced by the Dovetail transcription engine.
Dovetail imposes rate limits on their API to ensure platform stability. If a workflow attempts to pull thousands of highlights or data points in a single burst, you may encounter 429 errors. Ceven manages this by implementing automatic retry logic with exponential backoff. For very large datasets, the agent uses cursor based pagination to fetch records in smaller chunks. This ensures that your research backfills do not trigger a lockout and that data continues to flow into your workflows without manual intervention or repeated failures.
Ceven does not use your Dovetail research data to train any global models. Your transcripts, insights, and contact lists are treated as private context for your specific workspace. When the agent pulls a highlight to summarize it, that data is processed in a secure session and is not stored in the model training set. This ensures that sensitive participant data and proprietary product insights remain confidential and compliant with the privacy agreements you have with your research participants.
Yes. You can build a workflow where Ceven reads a new data point, compares the text against a set of predefined topic definitions, and then calls the Create Topic or Update Topic actions to apply the correct tags. This removes the manual effort of coding interviews. The agent can be instructed to look for specific emotional cues or feature requests and automatically categorize them, which allows your research team to move straight to the analysis phase instead of spending days on manual tagging.
List Data is a structured query used to retrieve items based on specific filters and pagination, making it ideal for reports or exports. Magic Search is a more flexible, semantic tool that allows the agent to find relevant information across multiple types of content, including highlights, notes, and insights, using a natural language query. Use List Data when you know exactly which project or tag you are targeting, and use Magic Search when you want the agent to discover themes across the entire workspace.
When Ceven calls the delete action for a channel or topic, the item is not permanently erased immediately. Dovetail moves these items to a project trash folder where they remain recoverable for 30 days. This provides a safety net in case a workflow is configured too aggressively. If you need to permanently purge data for compliance reasons, you must do so manually through the Dovetail web interface, as the API is designed to prioritize data recovery over immediate permanent deletion.
Absolutely. Since Ceven is a workflow platform, it can pull a newly created insight from Dovetail and immediately create a corresponding ticket in Jira or a page in Notion. For example, you can set up a trigger so that whenever a high priority insight is tagged in Dovetail, the agent drafts a user story in your product backlog and links back to the original Dovetail highlight. This creates a seamless bridge between qualitative research and product execution without any manual copying and pasting.

Alternatives to Dovetail

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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Plug Ceven on top of the tools you already run. Connect Dovetail and the rest of your stack, describe the outcome, and its agents handle the work end to end, days of it in minutes.

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