Fix data issues before they hurt placements and pipeline
A monthly 30-minute routine that protects match quality, forecasting accuracy, and recruiter productivity.
Dirty data taxes every placement
It corrupts reporting, slows recruiters, and quietly caps growth.
See what you'll actually get
Field standards, deduping rules, and a 12-point routine with owners and thresholds.
Minimum viable record
Match keys + protocol
Owner · time · threshold
What you'll get
A repeatable routine that keeps your database trustworthy.
Required-field standards
By record type (Candidate, Contact, Client, Job Order) with “minimum viable record” definitions.
Duplicate prevention rules
Match keys, merge protocol, and entry-point controls that stop dupes before they start.
Monthly governance checklist
12 checks, each with an owner, a time estimate, and a target threshold (e.g. “<2% missing mobile”).
Get the Data Quality Checklist
The same pre-implementation audit we run before every CRM/ATS migration.
- ✓Field standards by record type
- ✓Dedupe + merge protocol
- ✓12-point monthly checklist
- ✓Ownership matrix included
“Automating a broken database just produces mistakes faster. Clean first.”
Download the Checklist
Free. PDF + editable Sheet.
Questions, answered
System-agnostic — works for Zoho, Bullhorn, JobAdder, or spreadsheets.
About 30 minutes once your standards are set.
It includes an ownership matrix — usually an ops lead plus one champion per team.
Turn data chaos into a growth asset
Thirty minutes a month protects match quality, forecasting, and recruiter time.