Workflow
Bug triage that starts with clear visuals.
Capture screenshots, extract errors, and group issues by impact in minutes.
Challenges this workflow solves
Centralize bug screenshots, extract key details, and prioritize faster with AI summaries.
Evidence for bug triage is scattered across Jira tickets and Slack threads, slowing engineering leads.
Key bug screenshots details get lost before prioritization.
Teams debate prioritization without a shared visual record of blocker bugs.
Key outcomes
- A single library of bug screenshots tied to bug triage.
- Faster prioritization with summarized error messages.
- Improved triage time through searchable evidence.
How it works
Capture bug screenshots
Collect evidence from Jira tickets and Slack threads and tag it by severity and component.
Summarize error messages
Extract error messages and flag blocker bugs for engineering leads.
Align on prioritization
Share a short brief to drive prioritization and improve triage time.
Example prompts to try
Ask ShotSnap to pull the important context from any screenshot.
"Summarize the error messages shown in these bug screenshots."
"Highlight blocker bugs and tag by severity and component."
"List the evidence needed for prioritization."
FAQ
How do I organize bug screenshots for bug triage?
Capture bug screenshots from Jira tickets and Slack threads and tag them by severity and component so engineering leads can find the right evidence quickly.
What does ShotSnap extract for prioritization?
ShotSnap pulls error messages, flags blocker bugs, and summarizes context so engineering leads can make prioritization faster.
Can this workflow improve triage time?
Yes. Searchable evidence and consistent tagging reduce back-and-forth and lift triage time.
How should we tag bug screenshots?
Use severity and component plus the most relevant bug triage milestone to keep reviews consistent.
Does this work with our existing tools?
Yes. Capture evidence from Jira tickets and Slack threads and keep it on your Mac unless you choose to analyze it.
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