Pricing

Automatically segment your Dovetail data with AI

Swiftask analyzes your user feedback stored in Dovetail to create dynamic segments without manual effort.

Result:

Save valuable time on qualitative analysis and speed up your product decision-making.

Manual feedback sorting is a bottleneck

Centralizing feedback in Dovetail is a great practice, but analyzing it to extract relevant segments takes hours. Your teams spend more time sorting data than acting on insights.

Main negative impacts:

Slow and subjective analysis: Manual sorting is prone to human bias and cannot analyze large volumes of data in real time.
Buried insights: High-potential customer segments remain invisible due to lack of time to process all feedback.
Product misalignment: Without clear and updated segmentation, development priorities do not reflect the actual needs of key segments.

Swiftask connects to Dovetail to automatically categorize and segment every new user feedback based on business rules you define.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A researcher exports Dovetail data, reads them one by one, creates manual tags, then groups users in a spreadsheet. The process is slow, static, and obsolete by the next day.

With Swiftask + Dovetail

As soon as new feedback is added to Dovetail, the Swiftask AI agent analyzes it instantly, assigns the appropriate segments, and updates your database in real time.

Setting up your AI segmentation in 4 steps

STEP 1 : Define your criteria

Configure in Swiftask the profiles or segments you want to identify (e.g., unhappy users, specific feature requests).

STEP 2 : Connect to Dovetail

Link your Dovetail account to Swiftask to allow the agent to access new feedback in read-only mode.

STEP 3 : Set up rules

Define how the AI should process the information and where to send the segmented results (CRM, Slack, database).

STEP 4 : Activate the flow

Launch the agent to automate processing. Monitor the relevance of segments directly in the Swiftask dashboard.

Agent analysis capabilities

The agent examines text content, overall sentiment, user history, and contextual keywords for precise classification.

Target connector: The agent performs the right actions in dovetail based on event context.
Automated actions: Automatic feedback classification. Assignment of urgency scores. Updating user properties in your CRM. Real-time alerts for priority segments.
Native governance: You keep full control: validate AI suggestions or let it act in full autonomy.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-dovetail@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why automate segmentation?

1. Increased precision

AI eliminates human errors and classification biases associated with manual sorting.

2. Strategic reactivity

Identify new user trends as soon as they emerge in Dovetail.

3. Operational time saving

Free your research and product teams from repetitive data sorting tasks.

4. Total scalability

Process thousands of feedback items without increasing your workload.

5. Centralized visibility

Clear and actionable segments for all teams in the organization.

Security and compliance

Swiftask applies enterprise-grade security standards for your dovetail automations.

Secure API access: The integration respects Dovetail's security standards.
Private data: Your data remains confidential and is never used to train public models.
Traceability: Every segmentation decision is logged for a full audit.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your productivity

Metric	Before	After
Processing time	Several days per month	Real-time
Volume of data analyzed	Limited sampling	100% of feedback
Segmentation accuracy	Variable (human)	Consistent (AI)

Take action with dovetail

Save valuable time on qualitative analysis and speed up your product decision-making.