Software R&D: Turn User Feedback into Reproducible Bug Tickets
Extract environment, steps, expected and actual results to help R&D identify missing evidence and schedule reproduction.
Fictional feedback: Error displayed when exporting reports on the web Browser: Chrome; version not provided Steps: Go to monthly report → select September → click Export CSV Actual: "Export failed" appears; Expected: CSV downloads No error logs and no stable reproduction count.
Read both input and output
Input
Fictional feedback: Error displayed when exporting reports on the web Browser: Chrome; version not provided Steps: Go to monthly report → select September → click Export CSV Actual: "Export failed" appears; Expected: CSV downloads No error logs and no stable reproduction count.
Output
Preset bug ticket Title: Monthly report CSV export failed (to be reproduced) Reproduction steps: Go to monthly report; select September; export CSV. Actual/Expected: Failure message shown / file downloaded. Missing evidence: Browser and app version, sanitized logs, reproduction count, and account permission scope. Impact scope and priority: To be confirmed by product and R&D. No root cause claimed, no fix or deployment change submitted.
Use Cases
Extract environment, steps, expected and actual results to help R&D identify missing evidence and schedule reproduction.
This demo uses fictional business data and pre-prepared outputs to showcase a customizable workflow. It is not a customer case, live AI execution, or actual business result.
Work Steps
- Extract reproduction steps and environment from feedback, preserving the original error message.
- Check the evidence required by the bug template, and flag impact scope that cannot be determined.
- Generate a ticket draft, linking logs or code context as authorized.
Human Review and Boundaries
R&D personnel reproduce and determine root cause; the product owner confirms priority. Code changes, testing, and deployment have separate approval steps.
Customizable Content
Customize bug templates, repository conventions, and test checklists for Codex or Claude, with optional ticket system integration.
How to Validate
Test with normal input, missing fields, and conflicting data separately; check that key fields can be traced back to the input, missing content is clearly marked, and numerical calculations are done by reviewable rules. The agreed samples and delivery scope shall prevail.
Platform and Delivery
Customize instructions, templates, helper scripts, and review steps for Codex or Claude. Specific product versions, tool permissions, and system interfaces are confirmed and tested separately during the requirements phase. Deliverables include source files, test samples, and usage documentation; this page does not connect to external systems, send notifications, or execute business operations.