Data migration isn’t the flashiest part of an IT business, but it is one of its most critical and fastest-growing branches. Industry reports show that the data migration market is projected to grow from $10.55 billion in 2025 to nearly $31 billion by 2034, mainly because organizations are transferring data across systems and moving to the cloud.
If you’re running a team dealing with data migration, having the right questions up front can make all the difference. In this post, we’ve put together an easy-to-tailor data migration form to help your team gather the right information before the first byte moves.
Let’s take a look!
50 questions for a comprehensive data migration questionnaire template
Below you’ll find 50 questions organized into main sections. We designed each section/question to help you run low-risk data migrations, covering everything from system details and data volume to testing and post-migration support. The idea was to make it as comprehensive as possible, but feel free to customize it based on your project’s scope.
| Note: If you want to turn this questionnaire into a secure and automated form, make sure to give Content Snare a try. Our platform makes it easy with customizable templates, automatic reminders, and a seamless experience your clients will actually enjoy. Content Snare is trusted by over 1,600 businesses worldwide, ISO 27001 certified, and built for everything from document collection to client onboarding. Below, you’ll see what some fields could look like if you used Content Snare to build a data migration questionnaire. |
Project overview
This first section defines the purpose and scope of the data migration.
1. What is the name of the project?
2. What are the main objectives of this data migration?
3. What are the expected start and end dates for the migration?
4. Who are the primary stakeholders or business owners?
5. Are there any regulatory or compliance requirements impacting this migration?
Source system details
Understanding the source system is a must for assessing compatibility and planning extraction, but it also allows for better estimation of resource requirements.
6. What is the name of the source system?
7. What type of system is it?
For instance, this can be CRM, ERP, custom application, and so on.
8. What types of data will be extracted?
Note: Choose all that apply.
- Customer records
- Transactional data
- Logs
- Configuration or metadata
- Product inventory
- Other
9. Are there known data quality issues?
If yes, briefly explain these issues.
10. What is the current version of the system?
11. Who owns or manages the source system?
Target system
This section captures technical compatibility, data mapping, and the design of migration scripts. In addition, it also focuses on possible constraints such as format requirements or API limitations.
12. What is the name of the target system?
13. What type of system is it?
14. What is the version or environment?
Note: This can be on-site or cloud.
15. Who owns or manages the target system?
16. Are there existing data models or schemas we must adhere to?
17. Are there any pre-populated data or dependencies in the target system?
Data scope
This is another important aspect of your data migration questionnaire template: you need to clearly define the scope of data to reduce the risk of scope creep and properly plan the project.
18. Which specific data entities or tables will be migrated?
19. Approximately how many records are there in each?
- Fewer than 1,000 records
- 1,000 to 10,000 records
- 10,000 to 100,000 records
- 100,000 to 1 million records
- More than 1 million records
20. What is the total estimated size of the data to be migrated?
21. Are all historical records required, or only a subset?
Note: For instance, a subset can be the last 3 or 5 years.
22. Are there any data archiving or purging policies we should consider?
Data mapping
You may also need to transform or map data in the process. In this case, defining transformation rules early can prevent data mismatches.
23. Are there existing data mapping documents available?
If yes, please upload these documents.
24. Are any fields being renamed, merged, or split?
25. Are there any format or type changes?
For instance, date or currency formats.
26. Are any fields being deprecated or added?
27. Who will review and approve the mapping rules?
Migration approach & strategy
The following questions outline how the migration will be executed: big bang or phased, manual or automated. This will eventually impact your approach to resources and risk mitigation.
28. What is the preferred migration strategy?
- One-time
- Phased
- Incremental
29. When will the migration be performed?
- During business hours
- During off-hours
30. Will users need read/write access during migration?
31. Are there rollback procedures or contingency plans?
If yes, briefly explain these procedures or plans.
32. Is parallel running required to validate both systems?
Data validation and testing
Verifying data accuracy post-migration is the only way to confirm functionality. That’s why you need to clearly define testing plans to catch discrepancies.
33. What validation checks will be performed?
34. What tools or scripts will be used for data comparison?
- SQL queries
- Excel or Google Sheets
- Python scripts
- ETL tools with validation features
- Data diff or comparison tools
- Custom-built scripts or tools
- Not yet determined
35. Who is responsible for validating the migrated data?
36. Will end-users be involved in User Acceptance Testing (UAT)?
37. What is the definition of a successful migration?
Security and compliance
More often than not, data migration involves sensitive or regulated information. This section addresses privacy and legal concerns that may affect how and where data is handled.
38. Are there any data classification levels involved?
If yes, briefly describe them.
39. Is encrypted transmission required?
40. Are there geographic restrictions on data storage/transfer?
41. What user roles have access to the source and target systems?
42. Are audit logs required for data movement?
Go-live plan
Planning the final transition from old to new system minimizes business disruption. To achieve that, it’s recommended to ask the following set of questions:
43. What is the planned cutover date and time?
44. How long is the expected downtime?
45. Who needs to be present during cutover?
Note: List their names, roles, and phone numbers.
46. What is the rollback plan if something goes wrong?
Post-migration support
Once migration is complete, post-migration support leads to stability and quick issue resolution (if any issues occur).
47. Who will be responsible for post-migration support?
48. Are there monitoring tools in place to detect issues?
49. What documentation will be provided?
50. Will training be offered for the target system?
Content Snare: The best way to manage data migration questionnaires
If you’re serious about making your data migration projects faster, Content Snare is hands down one of the best tools out there. We know because we specifically built it for quick and secure information gathering.
Our client portal comes with customizable questionnaires, flexible field types, and built-in automated reminders, so you can take the manual follow-ups and messy spreadsheets out of the equation. Content Snare is trusted by over 1,600 businesses globally across industries like IT, accounting, legal, and real estate.
That kind of impact means your clients will respond sooner and your projects will move forward faster. If you're still messing around with Word docs or chasing people for answers, now’s the time to switch to a system that’s smarter and built specifically for this kind of work.
FAQ
What is the data migration process?
Data migration is the process of transferring data from one system, format, or storage environment to another. It involves planning, data extraction, transformation, validation, loading into the target system, and post-migration testing. A successful migration ensures data integrity, minimal downtime, and alignment with business goals.
How does Content Snare help with gathering technical input for migrations?
Content Snare makes it simple to request and collect technical details such as system specs and access credentials from internal teams or external clients. You can create structured forms with field types like tables, file uploads, and conditional logic, helping non-technical users provide the right info without confusion. This reduces delays caused by vague or incomplete responses.
Can Content Snare handle ongoing documentation needs during multi-phase migrations?
Yes, Content Snare is built to support multi-stage projects by allowing you to create reusable templates, track request progress in real time, and follow up automatically. For phased migrations, you can break down data collection into logical stages (think discovery, mapping, and validation) and schedule requests as each stage begins. This keeps everyone aligned without manual coordination or status updates.
