The first migration is never perfect. That's why we do three.
This might sound like overkill. After all, if you've mapped your data correctly and have the right tools, shouldn't one test be enough? In theory, yes. In practice, that thinking leads to Saturday night emergency calls, and Monday morning chaos.
The difference between migration success and disaster isn't the technology - it's the testing. Specifically, it's multiple rounds of testing that surface issues you'd never anticipate, refine processes you thought were perfect, and build confidence that eliminates surprises.
This guide explains why multiple test migrations aren't just best practice - they're business critical.
The hidden complexity beneath "simple" migrations
Even seemingly straightforward migrations hide complexity that only emerges during testing:
The data quality surprise
What you think you have: 100,000 clean contact records
What testing reveals:
- 20,000 duplicates with slightly different spellings
- 15,000 without email addresses
- 30,000 with outdated company associations
- 5,000 with corrupted special characters
Without testing, these issues surface in production when sales can't find accounts or marketing campaigns bounce.
The relationship revelation
What you documented: Simple account-contact relationships
What testing uncovers:
- Circular references that break imports
- Many-to-many relationships
- Orphaned records needing cleanup
- Historical relationships that must be preserved
- Time-based relationships requiring special handling
One test might catch some issues. Multiple tests ensure you catch them all.
The workflow complexity
What seems simple: Basic lead assignment rules
What testing discovers:
- Edge cases not documented
- Conflicts between multiple rules
- Timezone considerations
- Holiday handling requirements
- Exception processing needs
Each test round reveals new scenarios your live users will definitely encounter.
Test migration 1: Discovery and learning
The first test migration is your education. It's where theory meets reality and assumptions meet data.
What happens in test 1
Data extraction reality check
- Discover which fields actually contain data
- Identify system fields that can't be migrated
- Find calculated fields needing recreation
- Uncover hidden dependencies
Transformation surprises
- Special characters that break imports
- Date formats that need conversion
- Picklist values that don't match
- Currency fields requiring special handling
Import lessons
- HubSpot's actual (vs documented) requirements
- Performance bottlenecks with large datasets
- API rate limits affecting timeline
- Relationship creation order requirements
What you learn from test 1
The 30% rule: Typically, 30% of your mapping assumptions prove incorrect in the first test. Not because of poor planning, but because systems have undocumented quirks.
Example discoveries:
- "That field you never use? Turns out it drives critical reporting"
- "The custom object you thought was simple has 47 validation rules"
- "Historical data uses different formats than current data"
- "Deleted records are soft-deleted and still cause conflicts"
Test 1 deliverables
For technical team:
- Complete issue log
- Revised mapping document
- Updated transformation scripts
- Performance benchmarks
For business stakeholders:
- Data quality report
- Process impact assessment
- Training need identification
- Timeline validation
Test migration 2: Refinement and validation
The second test proves your fixes work and reveals the issues hiding behind the first round of problems.
What's different in test 2
Applied learnings
- Data quality issues addressed
- Mapping corrections implemented
- Transformation logic updated
- Import process optimised
Expanded scope
- Include edge cases discovered
- Add missed requirements
- Test workflow automation
- Validate integrations
User involvement
- Real users test with real scenarios
- Department heads verify their data
- Power users check complex processes
- Reports get scrutinised
The cascade effect
Test 2 reveals the cascade effect - how fixing one issue can expose others:
Example cascade:
- Fix duplicate email addresses
- Reveals duplicate companies
- Uncovers incorrect associations
- Shows reporting discrepancies
- Identifies workflow conflicts
Without multiple tests, you'd discover this cascade in production.
Test 2 discoveries
The integration impact
- How clean data affects integrations
- Workflow timing requirements
- API callback handling needs
- Synchronisation dependencies
The user experience reality
- Which features users actually need
- How they really search for data
- What reports they depend on
- Which workflows are critical
The performance truth
- Actual import times
- System responsiveness with full data
- Report generation speed
- Search performance
Why test 2 isn't enough
Even after test 2, you typically have:
- 15% of issues still unresolved
- New requirements identified by users
- Performance optimisations needed
- Final validation required
Stopping here seems logical but leaves unnecessary risk.
Test migration 3: Final validation and confidence
The third test is your dress rehearsal. Everything should work, but this test proves it conclusively.
The power of the final test
Complete simulation
- Full production data volume
- All users involved
- Complete processes tested
- Real-world timing
Confidence building
- Teams see everything working
- Stakeholders gain certainty
- IT validates performance
- Executives see success
Final adjustments
- Last-minute optimisations
- Minor tweaks identified
- Documentation updates
- Training refinements
What test 3 accomplishes
Risk elimination
- No surprises in production
- All edge cases handled
- Performance validated
- Integrations confirmed
Team preparation
- Users familiar with new system
- Admins confident in configuration
- Support ready for questions
- Documentation complete
Stakeholder assurance
- Data integrity proven
- Business continuity confirmed
- ROI visibility established
- Success metrics validated
The economics of test 3
Cost of test 3: 3-5 additional days
Cost of production failure:
- Emergency consultant fees
- Lost productivity
- Damaged data requiring cleanup
- Delayed revenue
- Team morale impact
The ROI on test 3 is typically 10:1 or higher.
The configuration file advantage
SpotDev's proprietary approach using configuration files makes multiple tests particularly powerful:
Consistency across tests
Traditional approach problems:
- Manual re-entry for each test causes inconsistencies
- Human error in configuration
- Unpredictable results
- Difficult troubleshooting
Configuration file benefits:
- Exact same settings every time
- Version control for changes
- Clear audit trail
- Rapid test execution
Iterative improvement
Test 1 configuration: baseline-config-v1.json
- Initial mappings
- Basic transformations
- Standard validations
Test 2 configuration: refined-config-v2.json
- Updated mappings
- Enhanced transformations
- Additional validations
Test 3 configuration: production-config-v3.json
- Final mappings
- Optimised transformations
- Complete validations
Each configuration builds on the last, preserving improvements while allowing rollback if needed.
The delta migration: Your final safety net
Beyond the three test migrations, the delta migration provides ultimate protection:
What delta migration accomplishes
Captures changes during migration
- New records created
- Updates to existing records
- Deleted record handling
- Relationship changes
Ensures zero data loss
- No gap between systems
- Complete history preserved
- Current data maintained
- Business continuity assured
Delta strategy with multiple tests
After test 3: Note cutoff point
During production migration: Track changes in source
Delta execution: Migrate only changes since cutoff
Result: Perfect synchronisation without gaps
Your test migration checklist
Test 1: Discovery
Export all dataRun transformation
Document all issues
Review with stakeholders
Update requirements
Test 2: Refinement
Apply fixes from test 1Include user testing
Validate workflows
Check integrations
Measure performance
Test 3: Validation
Full data volumeComplete user testing
End-to-end processes
Sign-off obtained
Production scheduled
Delta: Perfection
Identify changesMigrate updates
Validate completeness
Confirm accuracy
Close source system
Don't gamble with single tests
Multiple test migrations aren't about being cautious - they're about being professional. They're the difference between hoping for success and engineering it.
Every test reveals issues that would have been production disasters. Every iteration builds confidence that pays dividends in adoption and success.
Ensure your migration success with proper testing
Don't discover problems when your sales team can't access customer data on Monday morning. SpotDev's multiple test migration approach ensures your HubSpot migration succeeds the first time, every time.
Book a migration assessment today. We'll show you exactly how our three-test methodology eliminates risk and ensures your success.
Your data is too valuable for single-test gambling. Invest in certainty.
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