Talent Rediscovery & Smart Search
Unearth past applicants for new roles and use conversational queries to find hidden gems in your talent pool.
🎯 Hidden Talent Discovery
Automatic Rediscovery: Past candidates resurface for new roles
Smart Search: Conversational queries replace keyword gymnastics
Always-On: Works while you sleep to find qualified candidates
Nova doesn't stop working when the inbound queue is empty—it continuously mines your talent pool to surface relevant candidates for new roles.
Why Talent Rediscovery Matters
Time Savings: Under-sourced teams (sometimes just one person!) spend up to 30% of their week hunting talent that already exists in their database. Nova turns that "lost time" into fast, qualified shortlists.
How Rediscovery Works
Role Goes Live
Nova automatically detects when you enable Nova for a new job in your ATS.
Agent Activation
Nova's Rediscovery agent pulls your job description and configured criteria.
Talent Pool Analysis
The system resurfaces relevant candidates from your entire talent database and re-runs scoring against the new role.
Automatic Pipeline Addition
Anyone scoring above your threshold gets pushed into the Lead column (or equivalent) with fresh scores and "Nova Suggested" source.
Rediscovery Features
Continuous Discovery:
- No buttons to press once enabled for your company
- Works automatically when new roles go live
- Runs in background without user intervention
- Processes entire talent database systematically
Real-Time Updates:
- New candidates discovered as criteria change
- Fresh scoring applied to all past applicants
- Automatic pipeline updates with qualified matches
Intelligent Matching:
- Uses your exact job criteria for candidate evaluation
- Re-evaluates automatically when criteria change
- Considers role-specific requirements and preferences
- Applies same scoring logic as new applicants
Dynamic Adjustment:
- Tighten criteria → fewer but more qualified suggestions
- Loosen criteria → broader candidate pool discovered
- Criteria changes trigger automatic re-evaluation
ATS Integration:
- Candidates appear in your normal pipeline flow
- Clear "Nova Suggested" source attribution
- Fresh scores and assessments for the new role
- Seamless workflow with existing processes
Candidate Context:
- Previous application history preserved
- New role-specific scoring and insights
- Interview questions generated for current role
- Updated assessment based on latest criteria
Smart Search
Replace keyword-based search with natural language queries that understand context and intent.
From Keywords to Conversations
Traditional Keyword Search:
"full stack" AND "React" AND "Node.js" AND "3+ years"Problems:
- Misses relevant candidates with different terminology
- Requires exact keyword matches
- No understanding of context or equivalents
- Boolean logic complexity
Neural Search Understanding:
Senior full-stack developers with modern JavaScript experienceBenefits:
- Understands semantic meaning and context
- Finds candidates with equivalent skills
- Natural language queries
- Considers role requirements holistically
Complex Search Examples:
Full-stack engineers in Canada who interviewed in the last 90 days and worked for a company with 100+ employees
Product managers with B2B SaaS experience who have launched 0-to-1 products
Marketing professionals with growth expertise in fintech or healthtech verticals
Search Capabilities
Getting Started
Enable Rediscovery
Contact Your Account Manager
Rediscovery is enabled at the company level—reach out to activate this feature.
Configure Preferences
Set scoring thresholds and pipeline preferences for suggested candidates.
Monitor Results
Check your pipeline for "Nova Suggested" candidates on new roles.
Optimize Criteria
Adjust job criteria to fine-tune rediscovery quality and volume.
Best Practices
Frequently Asked Questions
Pro Tip: Rediscovery works best when your criteria accurately reflect what you're looking for. Spend time crafting good criteria—it improves both new candidate scoring and rediscovery quality.
Need help? Contact your account manager to enable rediscovery or reach out to support for search optimization guidance.