Swiftask analyzes your customer feedback and automatically applies relevant tags in Dovetail. Stop wasting time manually sorting your qualitative data.
Result:
Save hours of analysis every week and accelerate your product decision-making cycle.
Manual insight management kills product agility
Customer feedback volume is exploding. Between interviews, support tickets, and surveys, your team spends days reading, categorizing, and manually tagging every piece of information in Dovetail. It's a repetitive task that stifles innovation.
Main negative impacts:
Swiftask deploys AI agents that instantly analyze every new piece of feedback, understand its context, and apply the appropriate tags in Dovetail, ensuring a structured and consistent organization.
BEFORE / AFTER
What changes with Swiftask
The manual workflow
A researcher exports feedback, reads them one by one, manually decides on tags, and enters them into Dovetail. The process takes days, creating a gap between receiving the information and acting on it.
The Swiftask approach
As soon as new feedback arrives, the Swiftask AI agent analyzes it, identifies key themes, and updates Dovetail with the correct tags. Your database is always organized and ready for analysis.
Optimize your insights in 4 simple steps
STEP 1 : Define your taxonomy
Configure your preferred categories and tags in Swiftask to match your Dovetail project structure.
STEP 2 : Connect your data sources
Link Swiftask to your collection tools (emails, forms, support) to centralize data flows.
STEP 3 : Activate AI analysis
The agent processes each entry in real-time, extracting key concepts to automatically apply the relevant tags.
STEP 4 : Synchronize with Dovetail
Enriched feedback is automatically pushed into your Dovetail project, ready for your research.
What your AI agent can do for you
The agent evaluates semantics, sentiment, mentioned features, and customer context for high-precision 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.
Why choose automation with Swiftask?
1. Boosted productivity
Eliminate manual entry and focus your time on strategic data analysis.
2. Always clean taxonomy
AI applies tags consistently, preventing fragmentation of your knowledge base.
3. Real-time trend discovery
Identify customer issues as they emerge thanks to immediate data processing.
4. Product team alignment
The entire team works on a perfectly organized and up-to-date database.
5. Full scalability
Whether you receive 10 or 10,000 feedbacks, the AI handles the volume without losing quality.
Enterprise-grade security and compliance
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
Measure the impact on your research
| Metric | Before | After |
|---|---|---|
| Processing time | Hours per week | Seconds per feedback |
| Classification reliability | Subjective and variable | Consistent and objective |
| Data volume handled | Limited by human capacity | Unlimited and instant |
| Roadmap updates | Delayed by analysis | Based on real-time data |
Take action with dovetail
Save hours of analysis every week and accelerate your product decision-making cycle.