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AtlasRepo

Sifting Customer Feedback: My No-Code AI Fix

说明与用途

使用无代码 AI 平台自动化客户反馈分类,将处理时间从 3‑4 小时缩短至 15 分钟,提升决策效率。

问题

Weekly customer survey responses (70‑100 per week) were manually read and categorized, taking 3‑4 hours each Monday and delaying actionable insights.

结果

The AI solution cut the weekly review from 3‑4 hours to 15 minutes, providing concise, actionable categories and key phrases with ≈95% accuracy.

工作流

  • 1. Connect Google Sheet with survey responses to the AI platform.
  • 2. Define categories: Bug Report, Feature Request, UX/UI Improvement, Performance, General Positive, General Negative.
  • 3. Provide 10‑15 example sentences per category for training.
  • 4. Train the AI model (≈30 min).
  • 5. Set up automation to process new rows and output AI_Category, AI_Sentiment, AI_Key_Phrases columns.
  • 6. Review AI‑generated categories, filter for actionable items, and adjust misclassifications if needed.

证据

I glance at the 'AI_Category' column, filter for 'Bug Report' or 'Feature Request,' and boom – I have a concise list of actionable items.

来源

It took about 30 minutes to do the initial setup and training.

来源

That 3-4 hour Monday morning chore? It's now a 15-minute review.

来源

  • 记录日期: 2026-11-02T03:44:07.202Z