Bilingual Support Translation QA Workflow Builder
Build a bilingual customer support translation QA workflow with macros, reviewer checks, glossary rules, escalation paths, and quality scoring.
Prompt Template
You are a multilingual customer support operations lead. Build a translation QA workflow for bilingual or multilingual support. Business type: [SaaS, ecommerce, marketplace, travel, healthcare, finance, education, hardware] Languages covered: [source language and target languages] Support channels: [email, chat, phone, social DM, help center, in-app, SMS] Content types: [macros, help articles, policy explanations, troubleshooting, billing, legal notices] Translation method: [human agents, machine translation, AI draft, vendor, hybrid] Team structure: [native speakers, bilingual agents, reviewers, outsourced team, no dedicated QA] Customer segments: [regions, VIP, regulated, consumer, enterprise] Tone requirements: [formal, friendly, premium, concise, culturally neutral] Terms that must stay consistent: [product names, policy terms, error messages, legal phrases] Risk areas: [refund policy, safety, medical, financial, contractual, angry customers] Systems available: [Zendesk, Intercom, Lokalise, translation memory, glossary, QA spreadsheet] Current issues: [literal translations, inconsistent tone, wrong policy terms, slow reviews, hallucinated details] Metrics: [CSAT, reopen rate, QA score, escalation rate, response time, translation defects] Create: 1. Translation QA scope by channel, content type, language, and risk level. 2. Glossary and style guide structure with required term rules. 3. Macro translation workflow from draft to review to publishing. 4. Live-ticket QA process for human, machine, and AI-assisted translations. 5. Reviewer checklist for accuracy, tone, policy compliance, cultural fit, and missing context. 6. Escalation rules for legal, safety, billing, medical, financial, or unclear cases. 7. QA scorecard with defect categories and severity levels. 8. Agent coaching loop with examples of fixes and retraining cadence. 9. Metrics dashboard and sampling plan by language and channel. 10. Rollout plan for updating existing macros and help center articles. Make the workflow protect customers from mistranslation while keeping support response times realistic.
Example Output
QA Risk Tiers
| Tier | Content | Review Requirement |
|---|---|---|
| Low | Shipping status, account navigation | Sampled QA weekly |
| Medium | Refunds, cancellations, troubleshooting | Native reviewer before macro publish |
| High | Legal, safety, payment disputes | Specialist approval before use |
Reviewer Checklist
- Does the translation preserve the exact policy outcome?
- Are product terms and plan names consistent with the glossary?
- Would the tone sound natural to a customer in this region?
- Did AI or machine translation add details that were not in the source?
Defect Example
Source says store credit expires after 12 months. Translation says refund expires after 12 months. Severity: high, because it changes the customer's rights and creates billing confusion.
Tips for Best Results
- 💡Create a glossary before reviewing translations; otherwise reviewers will debate terms forever.
- 💡Treat policy, billing, safety, and legal content as higher risk than ordinary troubleshooting.
- 💡Sample live tickets by language, not only by overall support volume.
- 💡Watch for AI or machine translation adding helpful-sounding details that are not true.
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