Database Search & Candidate Matching

Q: Can the automation handle feedback from hiring managers who want to refine the candidate search?

Yes, when a hiring manager requests different criteria or additional candidates, the system re-runs the search and scoring with updated parameters without requiring manual re-filtering.

Q: Does the automation work with our existing CRM and candidate database?

The automation integrates with standard CRM platforms and candidate databases, reading requisitions and candidate profiles directly and updating status records automatically.

Q: How does the candidate scoring work, and can we customize the criteria?

Candidates are scored against an objective rubric based on skills match, experience level, location fit, and certifications; the rubric can be customized to reflect your agency's hiring priorities.

Q: Will the automation replace our recruiters or change how they work?

The automation handles database searching and candidate scoring, freeing recruiters to focus on relationship-building, candidate interviews, and closing placements instead of manual data work.

Surfacing candidates already in the database who fit a new role.

342 hrs

Manual time identified

Companies have mapped

Map This Automation

About This Automation

Finding the right candidates for each job requisition requires recruiters to manually search databases, filter results, and review profiles. This repetitive work consumes hours per requisition and often produces inconsistent candidate rankings.

Automation extracts search criteria from requisitions and scores candidates against objective criteria, producing ranked shortlists in minutes. Recruiters spend their time on relationship-building and closing instead of database hunting.

Key features:

Extract search criteria automatically from job requisitions and flag missing information

Query candidate databases with structured filters based on skills, experience, location, and certifications

Score candidates objectively against role requirements and produce ranked match lists

Generate shortlists with candidate names, contact details, and fit summaries ready to send

Update candidate status records automatically as they move through the pipeline

Refine searches based on hiring manager feedback without manual re-filtering

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Iterative database filtering Recruiters spend 35 minutes per requisition adjusting filters and re-running searches to find suitable candidates.	80%
2	Manual candidate profile review Reading and subjectively scoring 20 candidate profiles takes 45 minutes and produces inconsistent rankings.	67%
3	Feedback-driven re-searching When hiring managers request different criteria, recruiters repeat the entire search and filter process manually.	53%
4	Criteria extraction from requisitions Recruiters manually document search criteria from requisitions, introducing transcription errors and delays.	40%
5	Candidate status record updates Manual updates to candidate records in multiple systems create duplication and tracking inconsistencies.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

8.8/ 10

AI Fit Rating™

8.9/ 10

Automation Lift Index™

8.5/ 10

Hidden Overhead™

7.2/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. New Requisition Receivedtrigger

A new job requisition is submitted with role title, required skills, experience level, location, and salary range. The automation is triggered immediately.

2. Extract & Standardize Criteria

The automation reads the requisition and extracts structured search criteria (skills, experience, location, certifications) into a standardized format.

3. Query Candidate Database

The automation queries using the extracted criteria to retrieve all matching candidates from the database.

4. Score & Rank Candidates

The automation reviews each candidate profile, assesses fit against the role criteria, and assigns an objective match score (0 to 100). Candidates are ranked by score.

5. Create Shortlist

The top 8 to 10 candidates are automatically written shortlist with candidate name, contact, experience summary, and match score.

6. Send Shortlist

A formatted email is sent to the hiring manager with the shortlist, candidate profiles, and match scores. A link shortlist is included.

7. Log Activity

The shortlist and match scores are logged against the job requisition record for audit and future reference.

Most popular tool stack used

— the complete tool combinations companies use

52% of companies

28% of companies

15% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

What happens if a job requisition is missing key information like required skills or location?

The criteria extraction agent flags missing or ambiguous information and alerts the recruiter to clarify with the hiring manager before proceeding with the search.

Can the automation handle feedback from hiring managers who want to refine the candidate search?

Does the automation work with our existing CRM and candidate database?

How does the candidate scoring work, and can we customize the criteria?

Will the automation replace our recruiters or change how they work?

View more FAQs

Process pain:8.8/10

Mapped by:9 Companies

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Page updated 10 August 2026