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Co-authored-by: Victor Chapel <[email protected]>
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articles/communication-services/concepts/advanced-messaging/whatsapp/message-analysis-transparency-faq.md

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## What operational factors and settings allow for effective and responsible use of Message Analysis?
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## Which operational factors and settings enable effective and responsible use of Message Analysis?
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* Explicit Meta-Prompt Components: Enhance the system's prompts with explicit meta-prompt components that guide the AI in understanding the context of the conversation better. This approach can improve the relevance and accuracy of the analysis by providing clearer instructions on what the system should focus on during its assessments.
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* Canned Responses for Sensitive Messages: Flags sensitive topics or questions in the analysis response. This helps ensure that replies are respectful and legally compliant, reducing the risk of errors or inappropriate responses generated by the AI.
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* Phased Release Plan: To gather feedback and ensure system stability, implement a staged rollout starting with a private preview involving a limited user base before a full deployment. This phased approach allows for real-time adjustments and risk management based on actual user experiences.
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* Phased Release Plan: To gather feedback and ensure system stability, implement a staged rollout starting with a private preview involving a limited user base before a full deployment. This phased approach enables real-time adjustments and risk management based on actual user experiences.
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* Update Incident Response Plan: Regularly update the incident response plan to include procedures that address the integration of new features or potential new threats. This strategy ensures the team is prepared to handle unexpected situations effectively and can maintain system integrity and user trust.
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* Rollback Plan: Develop a rollback strategy that allows for quick reversion to a previous stable state if the new feature leads to unexpected issues. To ensure rapid response capabilities during critical situations, implement this strategy in the deployment pipelines.
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* Rollback Plan: Develop a rollback strategy that enables quick reversion to a previous stable state if the new feature leads to unexpected issues. To ensure rapid response capabilities during critical situations, implement this strategy in the deployment pipelines.
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* Feedback Analysis: To gather actionable insights, regularly collect and analyze feedback from users, particularly from Contoso. This feedback is crucial for continuous improvement and helps the development team understand the real-world impact of the features, leading to more targeted and effective updates.

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