# Chat Transcript to Bug Report

Canonical: https://orka.chat/chat-transcript-to-bug-report
Updated: 2026-11-09
Publisher: Orka

Hand engineering the evidence already in a support chat. Label customer and agent lines, then review the extracted steps and the details that still need confirmation.

## Inputs

- Support conversation — Put each message on its own line. Use Customer: and Agent: so suggestions are attributed correctly.
- Confirmed device or app version — Add information your team confirmed outside the chat.
- Confirmed expected result

## How it works

The tool scans reporter statements for common English action verbs, symptoms and environment terms. It quotes matching statements in their original order and keeps agent suggestions in a separate section. If you supply an expected result, that takes precedence over expectations inferred from the conversation.

## Worked example

A customer writes “I open the cart and tap Checkout” and “The page stays blank.” The generated report puts the first quote under reported actions and the second under observed behavior. An agent’s suggestion to try a private window appears under agent notes until someone confirms the outcome.

## Frequently asked questions

### Which transcript format works best?

Use one English message per line, beginning with Customer: or Agent:. Visitor:, User:, Reporter:, Teammate: and Support: are recognized too. Each unlabeled continuation follows the preceding speaker.

### Does it confirm that a bug can be reproduced?

The draft records the steps reported in the chat. An engineer can repeat those actions and add the actual reproduction result to the issue.

### How do I use the result in GitHub or Linear?

Copy the Markdown into the issue description or download the .md file. Check the quotes, remove customer identifiers and fill the outstanding questions before assigning the issue.

## Related tools

- [AI Support Cost Calculator](https://orka.chat/ai-support-cost-calculator)
- [Support Conversation Anonymizer](https://orka.chat/support-conversation-anonymizer)