Audit intermediate Works with: Any AI

Apology and Empathy Language Audit in Support Messages

Table output

Check whether apologies are specific and credible.

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Audit the apologies and empathy statements in our support messages. Twenty message excerpts: [MESSAGE_EXCERPTS]. Our guidelines on tone: [TONE_GUIDELINES].

Classify each apology or empathy statement as specific (names what went wrong), generic ('sorry for the inconvenience'), over-apologising, defensive ('as per our policy'), or missing where it was needed. Count each type and show percentages with the arithmetic. Identify patterns by issue type (delays, errors, refunds). Provide a rewrite for five weak examples and a short guide: acknowledge, apologise for the specific problem when we are responsible, explain what we are doing, and say when they will hear from us. List phrases to avoid and alternatives.

Do not encourage admitting liability beyond what policy allows; mark legal sensitivities as [VERIFY].

Add a worked count of 20 statements: 6 specific (30 percent), 9 generic (45), 2 defensive (10), 1 over-apologising (5), 2 missing where needed (10), and show a before-and-after of a defensive line ('As per our policy we cannot...') rewritten to explain, apologise for the specific problem, and offer an option.

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