Quality and Issue Tracking

Quality issues don't exist in isolation. A defect in a product relates to the production order that created it, the supplier who provided the materials, and the customer who received it. A service issue links to the service record, the assigned technician, and the underlying root cause.

Tracking quality in a separate tool, disconnected from your operational data, means missing those connections — and making quality management harder than it needs to be.

Issues in Context

Quality and issue tracking in Swifty lives within your existing operational data. A quality issue is a record attached to another record: an order, a product lot, a service delivery, a vendor relationship.

When you open the issue, you see the issue. When you need context, everything related to it is one click away.

Configurable Issue Types and Severity

Not all issues are the same. A cosmetic defect is different from a functional failure. A customer-reported issue is different from an internally identified one. A critical safety issue is different from a minor specification deviation.

Issue types and severity levels are configurable. Define the categories that match your industry and your quality framework. Color-code them for visual priority in list views. Set workflow states that require appropriate resolution steps for each severity.

Resolution Tracking

Every issue needs a resolution path. Who's investigating. What root cause was identified. What corrective action was taken. When the issue was closed.

The workflow for issue resolution is configurable — as rigorous or as lightweight as your quality process requires. A simple three-step resolution for minor issues. A full corrective-action process for significant ones.

Metrics Without Extra Work

Because issues are structured records, quality metrics are inherent. Number of open issues by type. Average resolution time. Recurring issues by supplier or product. These reports come from the data you're already capturing — no separate data entry into a quality tracking system.

That's the benefit of integrated quality management: the data exists because the work exists.