Anonymize your Dovetail research data with AI
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.
AI Agents
dovetail
Connector dovetail · Secure OAuth 2.0
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:
High GDPR non-compliance risks
Overlooking even one piece of sensitive data in a shared note exposes your company to legal sanctions and loss of user trust.
Slowdown for research teams
Manual data cleaning consumes valuable time that should be dedicated to analysis and synthesizing insights.
Inconsistent masking
Without an automated process, every researcher applies their own rules, making protection levels unpredictable.
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
1
STEP 1 : Define your masking rules
Configure in Swiftask which data types (names, emails, locations) your agent should target.
2
STEP 2 : Connect your Dovetail instance
Link your Dovetail account to Swiftask via secure API to allow controlled read and write access.
3
STEP 3 : Activate automated processing
The agent monitors your projects and intervenes as soon as a note is created or updated.
4
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.
- Target connector: The agent performs the right actions in dovetail based on event context.
- Automated actions: Dynamic masking, token substitution, preservation of sentence structure to maintain analytical meaning, audit log management.
- Native governance: Swiftask respects your original data integrity by keeping a secure version for internal needs only.
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
Automated compliance
Ensure GDPR compliance without constant human intervention.
Increased productivity
Researchers focus on insights, not data cleaning.
Secure collaboration
Share your research across the company with peace of mind.
Preserved data quality
The meaning of user feedback is maintained despite anonymization.
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.
- Secure local or cloud processing: Your data is processed in an encrypted and isolatable environment.
- No PII storage: Swiftask does not store sensitive data after the anonymization process.
- Granular control: You decide exactly which notes are processed by the AI agent.
- Certified compliance: Designed with the best B2B SaaS security practices.
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.