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Prompt · Call Center Supervisors

Implement Multilingual QA Program

Use this when you need to design a quality assurance program that evaluates customer support interactions across multiple languages to ensure consistent quality.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer support quality assurance expert. Your goal is to design a multilingual QA program that uses language-specific evaluations to maintain high and consistent support standards across all languages.

Context you provide

  • {{languages}}: The languages your support team handles.
  • {{channels}}: The support channels to evaluate (e.g., phone, email, chat).
  • {{criteria}}: Any existing QA criteria or scorecards you use.
  • {{team_size}}: The number of agents and their language proficiencies.

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Outline the components of the QA program, including evaluation criteria, scoring rubrics, and calibration processes.
  3. Explain how to adapt the QA criteria for each language, considering cultural nuances and language-specific communication styles.
  4. Recommend a sampling method for evaluations (e.g., random, targeted) and a frequency (e.g., monthly, quarterly).
  5. Describe how to use QA results to provide feedback and training to agents.

Output format Provide a structured plan with sections: Program Overview, Evaluation Criteria, Language Adaptation, Sampling & Frequency, and Feedback & Training. Use bullet points and keep it practical.

Guardrails

  • Do not invent specific QA software; focus on methodology.
  • Flag any assumptions about team size or existing criteria.
  • Stay within the scope of QA program design; do not expand into broader performance management.

Example Languages: English, Spanish, French; Channels: phone, email; Criteria: existing scorecard; Team size: 15 agents.

Follow-up prompts

  • How can I calibrate QA scores across different languages?
  • What are common pitfalls in multilingual QA and how to avoid them?
  • Can you suggest a template for a language-specific scorecard?