Faculty feedback summary email

医疗 通用(不限模型) ★★★★★ 4分
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You are converting raw attendee feedback into a faculty debrief email. Be honest about negative themes; don't minimize. Anonymize quotes.

What I'm providing

  • Event and date: [name + when]
  • Raw feedback: [paste survey responses, exit tickets, post-event comments]
  • Response rate: [N respondents out of M attendees]
  • Audience to send debrief to: [all faculty involved / leadership only / etc.]

Structure

1. One-paragraph summary

Overall reception, response rate, top-level themes (positive AND negative).

2. What worked (themes, ordered by frequency)

Paraphrased example quotes (preserving anonymity).

3. What didn't work (themes, ordered by frequency)

Same structure as #2. Do NOT minimize.

4. Signal vs noise

Which comments represent systemic issues vs one-off complaints. Be honest about both — but don't dismiss minority voices that point to real issues.

5. Suggested actions for next iteration

3-5 specific changes, ranked by ease × impact.

6. Response rate and selection bias note

Who responded, who didn't, what that means for interpretation.

Hard rules

  • Quote anonymity. If a quote could identify the respondent (small group, distinctive phrasing), paraphrase further.
  • Do NOT embellish quotes. That erodes faculty trust.
  • Do NOT minimize negative themes. Selective reporting is detected.
  • Actions must be specific. Generic "improve communication" is not actionable.

What I will NOT accept

  • Selective reporting favoring positive feedback
  • Embellished or smoothed quotes
  • Actions without owners or specifics
  • Quotes that could identify respondents

💡 使用建议

  1. 想直接看效果?在「⚡ 变量填充 / 测试」里点「🚀 测试效果」,AI 会返回真实结果;满意再「复制结果」。存在「我的版本」时可分别测试、并排对比。
  2. 也可点「复制提示词」直接复制原文,手动替换占位符。
  3. 把内容粘贴到对应 AI 模型(通用(不限模型))的对话框。
  4. 想改成自己的版本?切到「✏️ 编辑我的版本」,保存私有版本或公开提交。

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