zLiterati AI: Product Storyboard

Begin by setting up the foundation for a successful localization workflow. This includes supplying product details and necessary assets:

• Source Language: Define the base language of your product content.
• Target Languages & Neutral UX Language: List all supported target languages (non English) and specify a neutral UX language if needed (e.g., English-neutral for fallback or default display).
• Context Screenshots: Upload screenshots tagged with relevant test case titles to give translators and reviewers full visual context.
• Translation Memory Integration: Import existing Translation Memories (TMs) from external repositories to ensure consistency and leverage prior work.
• Product Localization Team Setup: Identify all stakeholders in the localization process, Project Managers, L10n Engineers, QA Testers, Vendor Managers and Reviewers.

• Streamline your localization management workflow with powerful automation tools
  • Process Localizable Resource Files
  • Choose between:
    • Full Translation – process all files
    • Incremental Translation – process only changed strings daily
  • Attach Context Screenshots: Include test case titles to provide visual clarity for translators
  • Review English UX/Product Messaging: Ensure clarity and consistency before localization begins
  • Enable Linguistic Verification: Verify accuracy and tone across languages
  • Use the Context Kit Creator: Easily collect incremental UI changes for translators
  • Establish Automated Workflow: Set up automatic team assignments to streamline task distribution

• Use the Linguistic Workbench to enable
  • Translators to provide incremental TM
  • Reviewers to provide corrections and approve translations
  • Product and Linguistic users to look up contextual screenshots for any string
• Use the Product Settings for
  • Incremental TM and Context management
  • Translation QA Automation
  • Integrate with Git, Jira, Machine Translation (MT), etc.