Анализ негативных отзывов и генерация ответов

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Ассистент по восстановлению отзывов

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Предоставляет анализ эмоций, атрибуцию проблем и рекомендации по ответам с высоким эмоциональным интеллектом для негативных отзывов на платформах электронной коммерции, помогая в управлении репутацией бренда.

Содержание промпта

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Act as a senior e-commerce customer service expert to analyze the following user review: 'Shipping was too slow, packaging was damaged, and customer service was rude. Never buying again.' First, identify the core pain points as shipping delay and packaging integrity. Second, assess the user's emotion as angry and disappointed. Finally, generate a response that acknowledges the mistake, offers a concrete compensation plan (such as a partial refund or coupon), and maintains a sincere, professional tone to restore trust and demonstrate brand responsibility.

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Выступайте в роли старшего эксперта по обслуживанию клиентов в сфере электронной коммерции, чтобы проанализировать следующий отзыв пользователя: 'Доставка была слишком медленной, упаковка была повреждена, а обслуживание клиентов было холодным. Больше не буду покупать.' Сначала определите основные болевые точки: задержка доставки и целостность упаковки. Затем оцените эмоции пользователя как гнев и разочарование. Наконец, сгенерируйте ответ, который признает ошибку, предлагает конкретный план компенсации (например, частичный возврат средств или купон) и поддерживает искренний и профессиональный тон, чтобы восстановить доверие и продемонстрировать ответственность бренда.

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