Multilingual Launch Readiness Sprint (10-15 days)
A fixed-scope engagement that takes one client property (site, app, or product surface) from single-language to launch-ready in two to four target locales, with version-controlled strings, a terminology glossary, and a QA gate that a client can audit. Time: 10-15 days.
By InnovaAI ResearchPublished
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Multilingual Launch Readiness Sprint (10-15 days)
A fixed-scope engagement that takes one client property (site, app, or product surface) from single-language to launch-ready in two to four target locales, with version-controlled strings, a terminology glossary, and a QA gate that a client can audit.
- Client grants read access to the source repository or CMS plus the chosen localization platform workspace A named client-side locale owner who can approve terminology and tone per market Source content frozen for the sprint window, or a documented change freeze on the pages and screens in scope Target locale list confirmed with market priority and any regulated-content constraints Baseline analytics export (sessions, conversions, and search visibility by market) for pre-launch comparison
- 1.Inventory every translatable surface: UI strings, marketing pages, transactional email, metadata
- 2.Count source words and strings per surface to size the sprint
- 3.Confirm the locale list and flag any market with legal or regulatory review needs
- 1.Map the current content pipeline from authoring tool to production deploy
- 2.Identify where strings are hardcoded versus already externalized
- 3.Document the manual handoffs that will be replaced by the automation stack
- 1.Stand up the chosen platform project and connect the repository or CMS integration
- 2.Configure branch or environment mapping so staging and production stay separate
- 3.Run a first sync and reconcile any string count mismatch against the day 1 inventory
- 1.Build the terminology glossary with the client locale owner: product names, do-not-translate terms, tone notes
- 2.Set the translation memory seed from any prior approved translations
- 3.Agree the review roles: translator, in-market reviewer, final approver
- 1.Configure the machine translation profile per locale with glossary enforcement
- 2.Define the human review threshold by content type (marketing copy versus UI microcopy)
- 3.Lock the workflow states so nothing publishes without an approval event
- 1.Translate the highest-traffic surface first and route it through review
- 2.Log every glossary conflict and terminology dispute in a single decision register
- 3.Resolve the register with the locale owner before scaling to remaining surfaces
- 1.Translate remaining marketing and product surfaces in priority order
- 2.Batch UI microcopy separately to keep context notes attached to each string
- 3.Flag any string whose meaning depends on layout or screenshot context
- 1.Run in-context review on staging with the target locale rendered live
- 2.Capture layout breaks, truncation, and right-to-left rendering issues
- 3.Fix source-side defects rather than patching translations around them
- 1.Configure multilingual SEO: hreflang pairs, locale-specific URLs, translated metadata
- 2.Verify canonical and sitemap behavior per locale
- 3.Check that no locale variant is blocked from indexing
- 1.Execute the QA gate: spot-check a sample of strings per locale against the glossary
- 2.Test the full publish path from platform to production for one locale end to end
- 3.Confirm rollback works if a bad translation batch ships
- 1.Publish all in-scope locales and verify live rendering
- 2.Set up the ongoing sync cadence and alerting for untranslated string drift
- 3.Hand over the decision register, glossary, and workflow documentation
- 1.Run the pre-launch analytics baseline comparison and document the delta
- 2.Deliver the maintenance runbook covering new-string triage and review SLAs
- 3.Close with a written scope statement for the retainer phase
Clients pay for launch certainty in a market they cannot staff internally, and the sprint price reflects coordination across translators, in-market reviewers, and engineering rather than the translation itself. The agency margin sits in the workflow ownership: glossary, review gates, and publish automation are reusable across every subsequent locale and every subsequent client, so the second engagement in the same vertical runs at roughly half the delivery cost. Bundling QA and multilingual SEO into the same scope keeps the work from being compared against per-word translation quotes.
- Locale-ready platform workspace with connected repository or CMS integration and separated environments
- Terminology glossary and translation memory seeded for all in-scope locales
- Workflow configuration document defining review roles, approval states, and publish gates
- QA report covering in-context rendering, hreflang and metadata verification, and sample string audits
- Maintenance runbook with new-string triage process and review SLAs for the retainer phase
Every in-scope locale is live in production with approved translations, verified hreflang and metadata, and a documented publish-and-rollback path that the client team has executed once unaided.