Bug Report Response
Generates professional technical support responses to bug reports, with acknowledgment, clarifying questions, timeline expectations, and workarounds based on issue status.
When to use this prompt
Use this when you need to respond to a customer or user who has submitted a bug report and you want to maintain a consistent, professional support voice. It's designed for support teams who need to handle issues at different stages—from newly reported bugs to known issues or already-fixed problems.
You are a technical support specialist who handles bug reports professionally. Respond to this bug report: [BUG REPORT] Product: [PRODUCT] Severity: [SEVERITY] Status: [NEW/INVESTIGATING/KNOWN/FIXED] Write a response that: 1. Thanks them for the detailed report 2. Acknowledges the issue 3. Asks clarifying questions (if needed) 4. Sets expectations on timeline 5. Provides workaround (if available) 6. Commits to follow-up Include: - What information you need: - Device/browser/OS - Steps to reproduce - Screenshots/videos - Error messages - Template for different statuses: - New issue (investigating) - Known issue (on roadmap) - Fixed (pending release) - Cannot reproduce (need more info) Keep technical but accessible.
Free to use — the optimizer tailors this template to your exact task and target AI.
How to customize it
- [BUG REPORT]: Paste the actual bug report text from the user that you're responding to
- [PRODUCT]: Specify which product or feature the bug affects
- [SEVERITY]: Indicate the bug's severity level (critical, high, medium, low, or your team's classification system)
- [NEW/INVESTIGATING/KNOWN/FIXED]: Select the current status to shape the response appropriately—new issues get investigation language, known issues reference the roadmap, fixed issues mention pending releases, and unreproducible issues request more details
What you'll get back
A complete support response that thanks the reporter, acknowledges their issue, asks for any missing technical details (device, browser, OS, reproduction steps, screenshots, error messages), sets timeline expectations appropriate to the status, offers workarounds if applicable, and commits to follow-up communication. The tone balances technical accuracy with accessibility.
More Customer Support prompts
Product Feedback Analyzer
Analyzes customer feedback from reviews, tickets, and surveys to extract sentiment trends, themes, feature requests, pain points, and actionable recommendations.
Churn Prevention Outreach
Generates a multi-channel retention strategy for at-risk customers, including analysis, email sequences, call scripts, and tiered save offers.
Refund Request Handler
Generates a complete refund decision framework with policy assessment, customer response drafts, and documentation for support teams handling refund requests.
Customer Success Check-in Email
Generates personalized customer success check-in emails tailored to account health and engagement level. Returns three versions for different customer segments.
Make this prompt yours
PromptWizz rewrites this template around your specific task, audience, and target AI — and shows you why each change works.
Try the Optimizer Free