Sifting Customer Feedback: My No-Code AI Fix

Описание и применение

Автоматизация классификации отзывов клиентов с помощью платформы без кода сократила время обработки с 3‑4 часов до 15 минут, повышая эффективность принятия решений.

Задача

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

Результат

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

Рабочий процесс

• 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.

Доказательства

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

Источник

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

Источник

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

Источник