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Deviation Investigation

Effective deviation management requires thorough investigation to identify root causes and prevent recurrence. InnoQualis EQMS provides AI-powered root cause analysis tools and a comprehensive timeline view to support your investigation process.

  • Generate AI root cause analysis using 5 Whys or Fishbone (Ishikawa) diagram methodologies.
  • View root cause findings including identified causes, contributing factors, and recommendations.
  • Regenerate analysis to refine findings as new information becomes available.
  • Review the deviation timeline with a complete audit trail of all events.
  • Track linked CAPA events alongside deviation events in a unified timeline.

The Root Cause Analysis panel uses AI to analyze deviation data and generate structured investigation findings.

Before generating, choose one of two methodologies:

MethodBest For
5 WhysLinear cause-and-effect chains where successive “why” questions reveal the root cause.
Fishbone DiagramComplex deviations where multiple categories of factors may contribute to the problem.
  1. Open the deviation detail page.
  2. Navigate to the Root Cause Analysis panel.
  3. Select the analysis type from the dropdown: 5 Whys or Fishbone Diagram.
  4. Click Generate Analysis.
  5. The AI processes the deviation data and produces a structured analysis.

The 5 Whys analysis presents:

  • Sequential “Why” questions — Each level drills deeper into the cause chain, displayed as Why 1 through Why 5 (or fewer if the root cause is reached earlier).
  • Root Cause — The fundamental cause identified at the end of the chain, highlighted in a summary box.
  • Recommendations — Actionable suggestions for addressing the root cause, listed as bullet points.

The Fishbone analysis organizes contributing factors into categories:

  • Categories — Factors are grouped by type (e.g., People, Process, Equipment, Materials, Environment, Management). Each category is displayed in its own section.
  • Contributing Factors — Individual factors within each category are listed as bullet points.
  • Root Cause — The primary root cause identified across all categories.
  • Recommendations — Suggested corrective and preventive actions.

If new information becomes available or the initial analysis needs refinement:

  1. Scroll to the bottom of the existing analysis.
  2. Click Regenerate Analysis.
  3. The AI produces an updated analysis incorporating the latest deviation data.

The timeline provides a chronological audit trail of all events related to a deviation, including linked CAPA events.

  1. Open the deviation detail page.
  2. The timeline panel displays events in chronological order.

Each event in the timeline includes:

ElementDescription
Event IconVisual indicator of the event type (create, update, approve, reject).
Event TitleDescribes what happened (e.g., “Deviation Created”, “Status Changed to approved”).
TimestampExact date and time of the event.
UserEmail of the user who performed the action.
DescriptionAdditional context such as the previous status or added resolution.

When a CAPA is associated with the deviation, CAPA-related events are merged into the timeline and sorted chronologically alongside deviation events. This provides a unified view of the complete investigation and resolution process.

The timeline displays:

  • CAPA creation events
  • CAPA status changes
  • CAPA action updates

Above the timeline, a Linked CAPA section shows:

  • CAPA ID and title
  • Current CAPA status
  • CAPA creation date

If no CAPA is linked, the section displays “No CAPA linked.”