Swiftask automatically scans and masks personal information in your Dovetail transcripts and notes, ensuring full compliance without manual effort.
Result:
Save hours of administrative work and eliminate the risk of personal data leaks.
Manual sensitive data management in Dovetail
Processing thousands of user feedback entries in Dovetail poses a major challenge: identifying and anonymizing personally identifiable information (PII) before sharing insights. Doing this manually is slow, prone to human error, and hinders collaboration.
Main negative impacts:
Swiftask deploys a specialized AI agent that detects, segments, and anonymizes sensitive data in your Dovetail spaces in real-time, ensuring uniform and auditable protection.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A researcher must re-read every transcript, manually masking names, emails, and phone numbers. It is a tedious task that prevents the quick sharing of insights with stakeholders.
With Swiftask + Dovetail
As soon as new data is added to Dovetail, the AI agent processes it instantly. PII is replaced by neutral labels, allowing for immediate secure and collaborative analysis.
Secure your Dovetail data in 4 steps
STEP 1 : Define your masking rules
Configure in Swiftask which data types (names, emails, locations) your agent should target.
STEP 2 : Connect your Dovetail instance
Link your Dovetail account to Swiftask via secure API to allow controlled read and write access.
STEP 3 : Activate automated processing
The agent monitors your projects and intervenes as soon as a note is created or updated.
STEP 4 : Validate and archive
Review the anonymization log in Swiftask to verify the actions performed.
Intelligent anonymization capabilities
The AI analyzes semantic context to distinguish sensitive data from product names or technical terms.
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.
Benefits for user research
1. Automated compliance
Ensure GDPR compliance without constant human intervention.
2. Increased productivity
Researchers focus on insights, not data cleaning.
3. Secure collaboration
Share your research across the company with peace of mind.
4. Preserved data quality
The meaning of user feedback is maintained despite anonymization.
5. Simplified auditing
Keep a record of every change for your compliance reports.
Data security at the core
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
Impact on your efficiency
| Metric | Before | After |
|---|---|---|
| Processing time per note | 10-15 minutes | Under 5 seconds |
| Human error rate | Variable | Zero |
| Insight availability | Delayed | Instant |
| GDPR risk | High | Controlled |
Take action with dovetail
Save hours of administrative work and eliminate the risk of personal data leaks.