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How to Switch Your ATS Without Losing Data or Your Sanity (2026)

Switching ATS systems terrifies most agencies. This step-by-step migration guide covers data export, candidate history, team training, and the timeline nobody talks about.

Janis Kolomenskis

10 min read
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Recruiter migrating candidate data between ATS platforms on a laptop

Every recruiter who's ever attempted an ATS migration has a horror story. The placement history that disappeared. The candidate notes that came through as garbled text. The three weeks of parallel-running both systems while the team lost their minds. The good news: most of those disasters are preventable. The better news: the process is genuinely faster and less risky in 2026 than it was even two years ago.

This guide is a practical walkthrough of the full migration process — from "we've decided to switch" to "everyone is live on the new system with their data intact." It won't be painless. But it can be manageable.

Why Agencies Stay on Bad ATS Platforms Too Long

The switching costs aren't just financial. They're psychological. Recruiters are busy. The idea of exporting years of candidate data, cleaning it up, importing it somewhere new, and training the whole team — all while continuing to bill — feels impossible. So they stay on the platform they hate and grumble about it instead.

According to SHRM's ATS implementation research, 41% of HR and recruiting teams delay ATS switches by 12 months or more past the point where they've decided a change is needed. The average cost of that delay — in consultant time, in lost candidates, in workarounds — is rarely calculated.

Here's the reframe: a well-planned migration takes four to six weeks of part-time effort. Not four to six weeks of chaos. Part-time. Spread across a dedicated project owner and periodic check-ins from the rest of the team.

Phase 1: Audit Your Current Data (Week 1)

Before you export anything, you need to know what you actually have. Most databases have accumulated years of cruft — duplicates, outdated contacts, candidates who've retired or changed careers entirely. Migrating all of it is wasteful. Cleaning it up before you migrate saves significant time.

What to inventory

  • Active candidates — anyone placed, in process, or contacted within the last 18 months
  • Live job orders — all currently open roles with their associated activity
  • Client/contact records — hiring managers, decision-makers, retained clients
  • Placement history — critical for billing records, warranties, and relationship context
  • Notes and activity logs — call records, email threads, interview feedback

What you can safely leave behind

  • Candidates with no activity in 3+ years (unless they're a strong network contact)
  • Duplicate records — identify and merge before export
  • Roles closed more than 2 years ago with no future reference value
  • Test records and demo data from your original setup
"We thought we had 14,000 candidates. After deduplication and archiving inactives, we migrated 6,800. The new database was cleaner, faster, and actually usable." — Operations lead, London exec search firm, 2025

Most agencies find 25–40% of their database isn't worth migrating. That's not a failure of the old system — it's normal data entropy. Use the migration as a forcing function to clean house.

Phase 2: Export Your Data (Week 1–2)

Every major ATS provides data export functionality. The format varies — some give you clean CSVs, others produce complex XML exports that need transformation. Know what you're getting before you commit to a new platform.

Key export checklist

Data TypeTypical Export FormatMigration RiskNotes
Candidate profilesCSV / JSONLowStandard fields transfer cleanly
CVs / attachmentsZIP of PDFs/DOCsMediumRe-linking to profiles can be manual
Custom fieldsCSV with column mapping neededHighMap to new system fields before import
Activity/notesCSV or proprietaryHighOften the hardest data to port cleanly
Placement historyCSVMediumKeep original system access for 6 months

One often-missed step: export your email templates, job description templates, and any custom workflow stages. These won't import automatically but you'll want to recreate them in the new system before go-live.

Also: check your old platform's contractual terms around data export. Some vendors throttle exports or charge for them. Know what you're entitled to before you give notice.

Phase 3: Prepare and Clean the Data (Week 2–3)

Raw exports are rarely import-ready. You'll almost always need a cleaning pass in a spreadsheet before the data goes into the new system. This is unglamorous work. It's also the difference between a clean database and one that's just as messy as what you left.

Deduplication

Sort your candidate CSV by email address. Duplicates become obvious. For candidates with multiple records, merge manually — keep the most recent contact details and the most complete work history. If you're using a tool like Excel, a COUNTIF on email can surface duplicates in minutes.

Field mapping

Your old ATS probably used different field names than your new one. "Industry sector" in one system might be "vertical" in another. "Job function" versus "role type." Build a mapping document before import — new system field on the left, old system field on the right — and use it to rename spreadsheet columns accordingly.

Data enrichment opportunity

If your new platform includes AI-powered data enrichment, this migration moment is the ideal time to run it. Importing a candidate record and immediately enriching it with current LinkedIn data, verified contact details, and up-to-date skills gives you a fresher database than the one you left behind. Yena's data enrichment tool can do this in bulk as part of the onboarding process.

Phase 4: Test Migration (Week 3)

Don't go straight from cleaned data to full import. Run a pilot first. Take 50–100 records across different candidate types — recent placements, active prospects, cold contacts — and import them into the new system. Verify:

  • Do custom fields appear correctly?
  • Are CVs attached to the right profiles?
  • Do notes and activity history appear in the right places?
  • Are duplicate prevention rules working?
  • Do mandatory fields have values or create errors?

Fix issues at the template level — not record by record — before running the full import. This pilot pass typically surfaces 80% of the problems you'll encounter.

Phase 5: Parallel Running Period (Weeks 3–5)

This is the step most agencies want to skip. They shouldn't.

Running both systems simultaneously for two to three weeks means your team can continue working in the familiar environment while you validate that the new system is working correctly. New candidates and new job orders go into both systems. Existing work stays in the old one.

"The parallel-running period feels inefficient but it's actually the most important insurance policy in the whole migration. You catch problems before they're production problems." — Gartner, HR Technology implementation guidance, 2024

Two weeks is enough for most small agencies. Three weeks if you're a larger team with more complex workflows or if senior consultants are resistant to change.

At the end of the parallel period, do a final data sync: export any new records added to the old system during parallel running and import them to the new one. Then cut over.

Phase 6: Team Training (Week 4–5)

Technical migration and team adoption are two different problems. The data can be perfect and the rollout can still fail if consultants don't trust the new system or don't know how to use it.

What actually works for training

Role-based training beats generic product walkthroughs. A billing consultant needs to know how to manage a pipeline, log calls, and track a placement. They don't need the admin configuration screens. Build sessions around actual daily workflows, not feature lists.

Identify your internal champions early — the consultants who are curious about technology and willing to be the first to test things. Give them early access, let them find the rough edges, and have them lead peer training. It lands better than top-down mandates.

Yena's onboarding includes team training sessions as part of the 24-hour setup path — something worth factoring into your platform comparison. Check the help centre for the full onboarding documentation.

Common resistance points

  • "I can't find my candidates" — Show them the search and filter functions first. Familiarity with the database search resolves 70% of early frustration.
  • "The old system had a feature I used every day" — Document these in advance. Some will have equivalents in the new system you can show; others won't, and it's better to acknowledge that honestly.
  • "I'm too busy to learn a new system right now" — There's never a good time. Set a hard cutover date and communicate it clearly with enough lead time.

Phase 7: Go-Live and the First Month (Week 5–6+)

Set a hard cutover date. Communicate it to the team two weeks in advance. On that date, the old system goes read-only (keep access for historical reference, not active use). The new system is the single source of truth.

Expect a productivity dip in the first two weeks. This is normal and expected. Consultants will be slower as they build muscle memory. By week three, most teams are back to baseline. By week six, the majority are faster than they were on the old system — particularly if the new platform has better LinkedIn sourcing or AI matching capabilities.

Keep the old system accessible (read-only) for 90 days minimum. You'll occasionally need to retrieve historical notes or verify placement details that didn't migrate cleanly.

Frequently Asked Questions

How long does an ATS migration actually take?

Four to six weeks for most boutique agencies. Enterprise migrations can take three to six months. The variation comes from database size, data quality, and how much custom configuration needs to be rebuilt. The 24-hour setup timeline offered by some platforms (including Yena) refers to getting you operationally live — not migrating a decade of historical data.

Will I lose my candidate notes when I switch?

Activity logs and notes are the hardest data to migrate cleanly. Most ATS platforms export them as a flat CSV, which means they arrive without the threading or context of the original. The pragmatic approach: export them, keep them in the old system for reference, and accept that future notes will live in the new system. Trying to perfectly port five years of call logs rarely justifies the effort.

Can I use Yena's AI resume parser during migration?

Yes. Yena's AI resume parser can process bulk CV uploads during import, automatically extracting structured data from PDFs and Word documents. This is useful when your old ATS exported CVs as files rather than structured records.

What if my old ATS won't give me a clean data export?

This happens. Some vendors make exports difficult intentionally. Your options: use a third-party migration service (several exist specifically for ATS data), manually export in batches if the platform allows partial exports, or — in the worst case — prioritise migrating only active candidate records and accept some historical data loss. Check your contract for data portability clauses before signing up with any platform.

How do I handle GDPR compliance during the migration?

Your GDPR obligations don't pause during migration. Candidate data must remain secure in transit. Use your new provider's secure import tools rather than emailing CSVs around. Verify that your new platform's data processing agreement covers the migration period. And take the migration as an opportunity to purge data beyond your retention limits — you don't need to migrate records you're legally required to delete anyway.

Ready to make the switch?

Yena's onboarding team has helped dozens of agencies migrate from Bullhorn, Vincere, TrackerRMS, and Loxo. 24-hour setup, Excel import, and a migration checklist included.

See migration support →

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Janis Kolomenskis

April 11, 2026

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