Smart Auto Tagging
Automatically apply tags to candidates during scoring with AI-powered rules for consistent talent organization and rediscovery.
🎯 Automated Talent Organization
- AI-Powered Rules: Define when tags should be applied automatically
- Zero Extra Work: Tags applied during normal scoring process
- Consistent Application: Same logic across all candidates and team members
Automatically apply tags to candidates during scoring with AI-powered rules. No extra steps required—tags are applied consistently as Nova processes candidates.
Demo
Setup Process
Visit Settings
Navigate to Settings → ATS Tag Management in your Nova dashboard.
Sync Your Tags
Click "Sync Tags" to import all existing tags from your ATS.
Configure Tags
Click "Configure" on any tag to:
- Write AI instructions for when to apply the tag
- Use "Auto-Generate" for AI-suggested instructions
- Enable automatic tagging
Automatic Application
All candidates processed after setup will be automatically tagged based on your rules.
Supported ATS Platforms
Custom Field Integration
- Uses "Nova Tags" custom field for structured management
- Create, edit, and delete tags through Nova interface
- Tags appear as multi-select options in candidate profiles
- Fully integrated with Teamtailor's filtering system
You can use this custom field to filter candidates by tag in Teamtailor as demonstrated in the video below.
Learn more about Teamtailor integration.
Feedback Form Integration
- Tags applied through structured feedback forms
- Consistent placement in candidate evaluation workflow
- Integrated with Ashby's native tagging system
- Supports existing feedback form structures
Native Tag Integration
- Direct integration with Lever's opportunity tagging
- Tags appear in standard Lever tag interface
- Full compatibility with existing tag workflows
- Supports Lever's tag-based filtering and search
Native Candidate Tags
- Direct integration with Greenhouse's candidate tagging system
- Tags applied directly to candidate records
- Full tag management through Nova interface (create, edit, delete)
- Compatible with Greenhouse's existing tag workflows and filtering
- Tags appear in candidate profiles alongside other Greenhouse tags
Example AI Instructions
| Tag Name | AI Instruction |
|---|---|
Scale-up experience | Apply to candidates who worked at companies during high-growth phases (50-500 employees) |
Client-facing roles | Apply to candidates with customer interaction experience across sales, support, or account management |
Technical leadership | Apply to candidates who led technical projects or mentored teams without "manager" titles |
Product launch experience | Apply to candidates who shipped products from concept to market launch |
Cross-functional experience | Apply to candidates who worked across multiple departments (engineering, product, marketing, etc.) |
Process improvement experience | Apply to candidates who optimized workflows, reduced costs, or increased efficiency |
Best Practices
Writing Good Instructions:
- Be specific with examples and criteria
- Include company names, technologies, or experience levels
- Use "Auto-Generate" for quick starting points, then customize
Good: "Apply to candidates who worked at companies during high-growth phases (50-500 employees)"
Poor: "Apply to good product managers"
Key Benefits
- Consistency: Same tagging logic applied to every candidate
- Zero Extra Work: Tags applied automatically during scoring
- Better Search: Structured tags enable powerful filtering
- Team Alignment: Everyone works from the same tag definitions
Getting Started
Smart Auto Tagging is available as an add-on feature. Contact your account manager to enable it for your organization.
- Enable the feature through your account manager (nova@dweet.com)
- Follow the setup process above to sync and configure your tags
- Monitor results and refine AI instructions as needed
FAQ
Need help? Contact your account manager to enable Smart Auto Tagging or reach out to support for tag configuration guidance.