Free AI Conversation Analyzer
Turn a support conversation into a review of its key topics, sentiment, follow-up actions, and communication gaps. Paste a transcript from a chatbot or human agent, or try the example below.
No sign-up required.
Label each speaker and keep messages in order. Remove personal details before submitting. Your transcript is sent to our AI service when you select Analyze Conversation.
How to analyze a conversation
- Copy one conversation, keeping the messages in their original order. Use labels such as Customer, Agent, or Bot.
- Remove names, contact information, account numbers, and anything unnecessary for the review.
- Select Analyze Conversation. Review the suggested follow-ups against the original transcript before acting on them.
Example: a delayed delivery
This fictional transcript and illustrative analysis show how to use the results. Your generated analysis may differ.
Conversation
Customer: My delivery was due yesterday and the tracking has not changed. Can you tell me where it is? Agent: I’m sorry it has not arrived. Does the tracking page show a delivery estimate? Customer: No. I already checked it twice and need the order by Friday. Agent: I can ask our delivery team to investigate and email you an update by tomorrow afternoon. Customer: Okay, please do. What happens if it cannot arrive by Friday? Agent: I will ask the team to confirm the available options in that update.
What the analysis can surface
- Topic and intent
- The customer wants a reliable delivery update and options if the order cannot arrive by Friday.
- Sentiment
- The customer expresses frustration with unchanged tracking, then agrees to wait for an update. The delivery concern remains unresolved.
- Action items
- Contact the delivery team, confirm available options, and email the customer by tomorrow afternoon as promised.
- Communication improvement
- Acknowledge that the customer has already checked tracking. Give a clear owner and deadline for the follow-up instead of asking them to repeat that step.
Use the findings to improve support
Look for unanswered questions, repeated requests, and commitments that need an owner. If the same question appears across several conversations, check whether your help content covers it. The analysis can suggest improvements, but it cannot confirm whether a delivery, refund, or escalation actually happened.
- Draft FAQs for questions your team repeatedly answers.
- Create a customer service script for a recurring support situation.
- Read the guide to handling an irate customer for practical response techniques.
Before you use the analysis
What can I paste?
Use plain-text chat transcripts or email exchanges with speaker labels. This tool does not import files, recordings, or an entire help desk.
Is sentiment analysis always correct?
No. Sarcasm, missing context, and ambiguous language can change the meaning. Treat the output as a review aid, not a definitive assessment of a customer or employee.
Can I analyze several conversations?
For a focused result, analyze one conversation at a time. If you reach the free tools’ shared usage limit, a countdown shows when you can try again.
Does this train my chatbot?
No. This tool returns an analysis of the transcript you submit. Review any changes to your support content separately before using them in a chatbot.
Put your support content to work
Once you have improved your FAQs and documentation, see how InsiteGPT can use them to answer customer questions.
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