---
title: "Performing Root Cause Analysis Using Event & Causal Factor (ECF) Methodology"
slug: "performing-root-cause-analysis-using-event-causal-factor-ecf-methodology"
updated: 2025-04-29T21:21:46Z
published: 2025-04-29T21:21:46Z
canonical: "docs.serenityops.com/performing-root-cause-analysis-using-event-causal-factor-ecf-methodology"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.serenityops.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Performing Root Cause Analysis Using Event & Causal Factor (ECF) Methodology

Event and Causal Factor (ECF) Analysis is a structured investigation method used to map the timeline of events leading up to an incident. This approach helps identify what happened, when it happened, and why it happened — ultimately uncovering the contributing and root causes. ECF works particularly well for incidents involving sequential human actions or equipment failures.

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## Starting Event & Causal Factor Analysis

Once you've progressed the investigation into the **Root Cause Analysis** stage, you'll be prompted to choose a methodology. Selecting **Event and Causal Factor Analysis** will bring you to a timeline-based interface..

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## Add Events to the Timeline

Click **Add new event** to begin documenting each step in the sequence:

1. **Short Description** – Title of the event (e.g., “Machine Restarted”).
2. **Description** – What occurred during this event.
3. **Occurred** – Exact date and time of the event.

These events can be added in any order but are automatically sorted chronologically to build an accurate sequence.

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## Add Contributing Factors

After each event is added to the timeline, click **Add contributing factor** beneath it to identify factors that led to the event.

📝 The form includes the following fields:

- **Cause description**: Provide a clear, concise explanation of the contributing factor. This should describe a condition, behavior, or failure that played a role in the incident.
- **Primary cause**: Use this dropdown to indicate whether this particular factor is considered the *primary cause* of the incident. You may have several contributing factors, but usually only one or two should be flagged as primary.

- **Create finding** (optional): Check this box if you'd like to automatically generate a **finding** based on the contributing factor. Findings can later be linked to corrective or preventive actions.

🧠 Tip: You can also use **AI-assisted suggestions** to generate possible contributing factors based on event details.

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## ✅ Why Use Event & Causal Factor Analysis?

The ECF methodology is ideal when:

- There's a clear chain of events before the incident.
- Investigators need to visualize a timeline.

You want to apply the **"5 Whys"** technique to peel back layers of causation.