Extract reproducible bug reports from user descriptions automatically
Sift parses free-text bug reports to extract steps to reproduce, expected vs actual behaviour, environment details, and severity so dev teams can fix faster.
The problem
Users report bugs in vague, inconsistent ways. 'It doesn't work' tells your engineering team nothing. PMs spend hours triaging, asking for reproduction steps, and manually filling in Jira fields. Real bugs hide in the noise.
The solution
Sift analyses the user's natural-language description and extracts structured bug data: steps to reproduce, expected vs actual behaviour, browser/OS, severity, and affected feature area. Engineers get actionable tickets from day one.
See the extraction
What users type
What you get
PDF export — infinite loading, blank output
Chrome on macOS
Yes — worked previously
High — blocking business-critical workflow
Report export (PDF)
Why teams switch to Sift
Actionable tickets instantly
Engineers receive structured reproduction steps and environment details without waiting for PM follow-up.
Severity auto-classification
Business-impact language triggers higher severity scores, ensuring critical bugs surface immediately.
Regression detection
Sift identifies when users mention something 'used to work,' flagging potential regressions for immediate attention.
Reduced duplicate reports
Structured extraction enables automatic matching against existing tickets, cutting duplicate filings significantly.
The numbers
80% reduction
Triage time
Structured extraction eliminates the manual back-and-forth to gather reproduction details.
2x faster
Bug resolution speed
Engineers start debugging immediately with environment details and repro steps in hand.
Down 50%
Duplicate reports
Structured data enables automatic de-duplication against the existing issue backlog.
Recommended fields
Recommended Form Fields
Frequently asked questions
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Templates
Use Cases
Sift analyses free-text support tickets in real time, extracts priority, category, and sentiment, and routes them to the correct team instantly.
Complaint HandlingSift analyses customer complaints to extract the core issue, severity, desired resolution, and emotional tone so your team can respond with precision and empathy.
Incident ReportsSift extracts incident type, location, people involved, timeline, severity, and corrective actions from free-text incident reports for compliance and rapid response.