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.
AI Agents
dovetail
Connector dovetail · Secure OAuth 2.0
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
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.
1
STEP 1 : Define your criteria
Configure in Swiftask the profiles or segments you want to identify (e.g., unhappy users, specific feature requests).
2
STEP 2 : Connect to Dovetail
Link your Dovetail account to Swiftask to allow the agent to access new feedback in read-only mode.
3
STEP 3 : Set up rules
Define how the AI should process the information and where to send the segmented results (CRM, Slack, database).
4
STEP 4 : Activate the flow
Launch the agent to automate processing. Monitor the relevance of segments directly in the Swiftask dashboard.
The agent examines text content, overall sentiment, user history, and contextual keywords for precise classification.
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.
AI eliminates human errors and classification biases associated with manual sorting.
Identify new user trends as soon as they emerge in Dovetail.
Free your research and product teams from repetitive data sorting tasks.
Process thousands of feedback items without increasing your workload.
Clear and actionable segments for all teams in the organization.
Swiftask applies enterprise-grade security standards for your dovetail automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| 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) |
Save valuable time on qualitative analysis and speed up your product decision-making.