Remap or skip custom fields during changelog import
Use field mapping during release-history import instead of cleaning every legacy export by hand before the move.
Why this can grow a startup
Legacy changelog exports are rarely clean enough to drop straight into a new system. Mapping or skipping odd columns inside the importer saves time and preserves the useful parts of the archive without turning migration into a spreadsheet project. That keeps momentum up while still protecting the quality of what gets published later.
Company example
Productlane recommends mapping title, body, and date during changelog import, and explicitly says custom CSV fields can be skipped or remapped.
Source and metric
Source: Productlane Docs · Browse Productlane Docs tactics
Custom CSV fields can be skipped or remapped during import instead of blocking the migration
Source discovered: May 27, 2026
When to use it
Use this when Operations, Changelog, Migration is relevant to migration, ops, release communication and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read Productlane Docs and identify what is directly supported.
- Choose one channel context: Operations, Changelog, Migration.
- Define the test around Custom CSV fields can be skipped or remapped during import instead of blocking the migration.
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Choose product surfaces that compound distribution without hiding weak activation or retention.