Consultation Record Analysis

Consultation Record Analysis Template

The Consultation Record Analysis Template provides a predefined prompt example that automatically generates structured analysis results when you input raw consultation data.
This template enables systematic evaluation of customer service records and helps identify key insights for quality management and process improvement.

The provided template analyzes the following elements:

Consultation Summary

Customer inquiries

Agent responses

Items requiring follow-up actions

Sentiment Analysis (Positive / Negative / Neutral)

Keyword Extraction

Writing Tips

Do not include information that is not present in the original consultation text.

Reorganize keywords into meaningful conceptual units instead of copying exact words from the source.

Focus on the customer’s tone and expressions when performing sentiment analysis.

Maintain a consistent JSON structure for all analysis results.

Example Use Cases

Summarizing consultation histories and categorizing customer complaint types

Evaluating agent response quality and identifying improvement areas

Enhancing FAQs using high-frequency VOC (Voice of Customer) keywords

Analyzing emotional trends in customer interactions over time

Notes for Modification

Keep the template’s JSON field names intact; modify only the internal logic or analysis rules.

Changing the output format may cause compatibility issues in external integrations or data pipelines.