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Trainual Migration: Move People Data Without Losing Trust

Migrate into Trainual with an inventory, field map, pilot import, dual-run week, and validation — so history survives and operators trust the new system.

By Lee M.Updated Aug 18, 20266 min readFact-checked

Quick answer

Migrate into Trainual with an inventory of SOPs, role charts, training assignments, and completion records, a field map, a pilot import, a dual-run week, and validation with the people who live in the data — so history survives and the team trusts the new system.

  • Inventory source objects
  • Map fields before bulk load
  • Pilot one site / one role / one team
  • Dual-run for a week
  • Validate with sceptic users

Trainual migration rules

  • Inventory first Typical objects: SOPs, role charts, training assignments, and completion records.
  • Pilot beats big-bang Prove a small Trainual import before you move everything.
  • Integrations after the pilot Research names Slack, Google Workspace, and Zapier on the Trainual side — confirm the connectors your HR loop depends on.
  • Do not migrate the wrong job Trainual is SOP knowledge-base and role training. Do not import a CRM pipeline or a marketing course catalogue and expect it to become SOP knowledge-base and role training.

Trainual migration map

Trainual migration: export, map, pilot, dual-run, cutover.
Prove a small Trainual import before you move the whole operation.

1. Inventory and map

List SOPs, role charts, training assignments, and completion records. Map required fields and owners. Never invent list prices here — confirm seats, hubs, and quote terms on /pricing/trainual/. Worked example: Northline Ops (growing managers documenting tribal knowledge) discovers duplicate employee IDs in the spreadsheet before the first import — and fixes identity before volume.

2. Pilot import

Import one site, one role, or one team. Run assign one role path, complete a playbook, and check completion evidence with a sceptic manager on the pilot set. Worked example: Northline Ops (growing managers documenting tribal knowledge) will not schedule a cutover until the pilot can a new hire finishes one assigned path and a manager can see evidence without an admin screenshot.

3. Dual-run and cutover

Run old and new in parallel for a week. Spot-check records sceptic users care about, then freeze the legacy source. Worked example: Northline Ops (growing managers documenting tribal knowledge) keeps the old export for payroll or offers until Trainual matches for seven consecutive days.

Trainual checklist

Bring these questions to every demo

Ask vendors to show the workflow live, not just describe it.

  • 1Inventory source objectsSOPs, role charts, training assignments, and completion records
  • 2Run a pilot importOne segment first; fix mapping before bulk.
  • 3Validate with operatorsSpot-check records they care about before cutover.

4. Inventory what must move into Trainual

List users, historical records, templates, and integrations that must survive migration. Mark nice-to-have exports you can leave behind.

Worked example: Growing companies (roughly 25–1000 employees) documenting SOPs and role training migrates active records only and archives the rest as read-only exports.

5. Run parallel cutover with a rollback path

Keep the old system read-only until Trainual passes non-admin proof. Name a rollback owner and maximum parallel window.

Worked example: Growing companies (roughly 25–1000 employees) documenting SOPs and role training caps parallel run at two weeks with daily checkpoint notes.

6. Verify counts and permissions after import

Reconcile user counts, role permissions, and a sample of migrated records. Research lists Slack, Google Workspace, and Zapier for Trainual. Confirm which are native vs API before go-live.

7. Inventory what must move into Trainual

List users, historical records, templates, and integrations that must survive migration. Mark nice-to-have exports you can leave behind.

Worked example: Growing companies (roughly 25–1000 employees) documenting SOPs and role training migrates active records only and archives the rest as read-only exports.

8. Run parallel cutover with a rollback path

Keep the old system read-only until Trainual passes non-admin proof. Name a rollback owner and maximum parallel window.

Worked example: Growing companies (roughly 25–1000 employees) documenting SOPs and role training caps parallel run at two weeks with daily checkpoint notes.

9. Verify counts and permissions after import

Reconcile user counts, role permissions, and a sample of migrated records. Research lists Slack, Google Workspace, and Zapier for Trainual. Confirm which are native vs API before go-live.

10. Inventory what must move into Trainual

List users, historical records, templates, and integrations that must survive migration. Mark nice-to-have exports you can leave behind.

Worked example: Growing companies (roughly 25–1000 employees) documenting SOPs and role training migrates active records only and archives the rest as read-only exports.

11. Run parallel cutover with a rollback path

Keep the old system read-only until Trainual passes non-admin proof. Name a rollback owner and maximum parallel window.

Worked example: Growing companies (roughly 25–1000 employees) documenting SOPs and role training caps parallel run at two weeks with daily checkpoint notes.

12. Verify counts and permissions after import

Reconcile user counts, role permissions, and a sample of migrated records. Research lists Slack, Google Workspace, and Zapier for Trainual. Confirm which are native vs API before go-live.

13. Before you sign with Trainual

Confirm the qualifying plan, non-admin proof, and integration owners in writing. Store quotes next to /pricing/trainual/ and the evaluation scorecard so finance can audit the same assumptions at renewal.

14. Write the decision memo

Name the job, the qualifying Trainual configuration, and what you are not buying yet. If stakeholders cannot explain why an alternative lost, the trial was not fair.

Frequently asked questions

  • Can we skip the dual-run?

    Only if the dataset is tiny and reversible. Most SMB/mid teams regret skipping a week of parallel use.

  • What if history will not map cleanly?

    Import active records first. Archive messy history as files rather than poisoning the new system of record.

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