Overview
Bug triage is the process of analyzing, prioritizing, and routing bug reports to the right team members. Righthands quickly understand issues, find root causes, and determine the best course of action.Core Capabilities
Bug Analysis
Root Cause Analysis
Analyze stack traces and logs to identify likely causes
Similar Issues
Find related bugs and previous fixes
Impact Assessment
Evaluate severity and user impact
Reproduction Steps
Generate clear steps to reproduce the issue
Automated Triage
1
Initial Analysis
Parses bug report, extracts key information, and analyzes error logs
2
Categorization
Classifies by type (crash, data corruption, UI issue, performance, etc.)
3
Priority Assessment
Evaluates severity, affected users, and business impact
4
Team Assignment
Suggests appropriate team or developer based on code ownership
Common Use Cases
Stack Trace Analysis
Duplicate Detection
Righthand can identify duplicate bug reports: Righthand analyzes:- Error messages and stack traces
- Symptoms and reproduction steps
- Affected components and versions
- User-reported behaviors
Reproduction Step Generation
Convert vague bug reports into clear reproduction steps:Before: Vague Report
Before: Vague Report
“The app is slow sometimes when I click on things”
After: Clear Steps
After: Clear Steps
Based on logs and similar reports, reproduction steps:
- Log in as a user with 1000+ items in their account
- Navigate to Dashboard page
- Click on “View All Items” button
- Observe: Page takes 15-20 seconds to load (expected: less than 2 seconds)
- Environment: Production, Chrome 120, Windows 11
- Frequency: Consistently reproducible for users with >1000 items
Priority Assessment
1
Severity Analysis
Crash/data loss (Critical) vs. Cosmetic issue (Low)
2
User Impact
How many users affected? Is there a workaround?
3
Business Impact
Revenue impact, customer complaints, SLA violations
4
Final Priority
P0 (drop everything), P1 (next sprint), P2 (backlog), P3 (nice-to-have)
Advanced Features
Log Analysis
Righthand can parse and analyze various log formats:Example Request
- Error frequency and patterns
- Correlation between errors
- Timeline of events leading to failures
- Affected services and dependencies
- Suggested investigation starting points
Root Cause Investigation
Code History
When was the problematic code last changed?
Recent Deployments
Was this introduced in a recent release?
Related Changes
What else changed in nearby code?
Test Coverage
Are there tests covering this scenario?
Impact Estimation
Quantify bug impact for better prioritization:| Impact Factor | Analysis |
|---|---|
| Users Affected | How many users hit this bug? |
| Frequency | How often does it occur? |
| Severity | Data loss, crash, or minor issue? |
| Revenue Impact | Lost sales or cancellations? |
| Support Load | Volume of support tickets? |
| Workaround | Is there a viable workaround? |
Automated Bug Routing
Assign bugs to the right team or person:1
Code Ownership
Identify who owns the affected code files
2
Expertise Matching
Match issue type to developer expertise
3
Workload Balancing
Consider current workload and availability
4
Similar Issue History
Who fixed similar issues before?
Best Practices
Efficient Triage Process
Daily Triage Session
Daily Triage Session
Review new bugs daily with Righthand’s automated analysis
Priority First
Priority First
Always triage critical bugs immediately, batch lower priority
Complete Information
Complete Information
Ensure bug reports have all necessary information before assignment
Clear Ownership
Clear Ownership
Assign every bug to a specific person or team
Bug Report Quality
Righthand can help improve bug report quality:- Missing Information: Flag reports lacking reproduction steps, logs, or environment details
- Unclear Descriptions: Rewrite vague descriptions more clearly
- Screenshot Analysis: Extract information from attached screenshots
- Video Analysis: Summarize screen recordings of issues
Triage Metrics
Track triage effectiveness:Example Queries
Integration with Development Workflow
Jira/Linear/GitHub Issues
1
Automated Analysis
When new issue created, Righthand automatically analyzes it
2
Add Context
Comments added with analysis, similar issues, and recommendations
3
Suggest Labels
Auto-suggest labels for component, severity, type
4
Assign Owner
Recommend assignee based on code ownership
Monitoring Integration
Connect bug triage to monitoring tools:Error Tracking
Sentry, Rollbar, Bugsnag integration
Log Aggregation
Splunk, Datadog, CloudWatch analysis
APM Tools
New Relic, AppDynamics correlation
User Analytics
Connect user behavior to bug reports
Communication Templates
Generate clear communication for stakeholders:- Customer Response
- Internal Update
- Postmortem
“Generate a customer-facing response for bug #1234”Righthand creates:
- Acknowledgment of the issue
- Explanation in non-technical terms
- Expected timeline for fix
- Available workarounds
- Commitment to update when resolved
Example Workflows
Morning Bug Triage
Morning Bug Triage
Scenario: Daily bug triage for the engineering team
-
Overnight Bugs (8:00 AM)
- “Show me all bugs reported overnight”
- Righthand provides prioritized list with analysis
-
Critical Issues First (8:05 AM)
- “Analyze the P0 issue #2341”
- Righthand provides root cause analysis
- Assign to on-call engineer immediately
-
Batch Processing (8:15 AM)
- “Categorize and prioritize the remaining 12 bugs”
- Review Righthand’s priority suggestions
- Assign to team members
-
Similar Issue Check (8:30 AM)
- “Are any of today’s bugs duplicates?”
- Righthand identifies 3 duplicates
- Close duplicates, consolidate information
-
Status Update (8:45 AM)
- “Generate triage summary for the team”
- Share in Slack: 1 P0, 3 P1, 8 P2 assigned
Production Incident Triage
Production Incident Triage
Scenario: Critical production issue reported
-
Immediate Analysis (T+0 minutes)
- Production monitoring alerts on spike in errors
- “Analyze production errors in the last 10 minutes”
- Righthand identifies affected endpoint and error type
-
Root Cause Investigation (T+5 minutes)
- “What changed recently in the payment processing service?”
- Righthand identifies deployment 15 minutes ago
- Shows specific commit that introduced the issue
-
Impact Assessment (T+10 minutes)
- “How many users are affected?”
- Righthand analyzes logs: 250 users, 1,500 failed transactions
- Revenue impact: ~$45,000 in failed orders
-
Solution Path (T+15 minutes)
- “Should we rollback or hot fix?”
- Righthand recommends rollback (safer, faster)
- Provides rollback command and verification steps
-
Communication (T+20 minutes)
- “Generate incident update for customers”
- Righthand drafts customer communication
- Post to status page, social media
-
Resolution (T+45 minutes)
- Rollback complete, monitoring shows recovery
- “Generate postmortem outline”
- Schedule postmortem meeting
Bug Fix Verification
Bug Fix Verification
Scenario: Verify a bug fix is complete
- “Check if bug #1234 fix addresses all reported issues”
-
Righthand verifies:
- Original reproduction steps no longer reproduce issue
- Similar edge cases are also fixed
- Tests added to prevent regression
- Documentation updated if needed
- “Are there any other bugs similar to #1234 that might have the same root cause?”
- Righthand finds 2 other bugs with similar patterns
- “Create fix checklist for bugs #1235 and #1236”
- Apply same fix to related issues
Bug Triage Decision Tree
Related Use Cases
- Code Review Assistance - Prevent bugs before they ship
- Documentation Generation - Document known issues and workarounds
Set up Righthand to automatically analyze new bug reports as they come in, saving valuable triage time.