Hazard Analysis Techniques Compared: HARA, HAZOP, STPA
- Date
- 2028-03-03
- Location
- Online
- Host
- HARA/FMEA/FMEDA/TARA (Functional Safety)
About this event
Hazard analysis is one of those topics that sounds straightforward until you have to choose an approach, explain your choice, and use it under real project constraints. This session is built for people who want a clearer, more practical understanding of how HARA, HAZOP, and STPA compare, where each method fits, and what changes when you apply them in different technical contexts. About the Event This is an online community session focused on comparing three widely used hazard analysis techniques: HARA, HAZOP, and STPA. Rather than treating them as abstract frameworks, the event is designed to help attendees understand how these methods differ in mindset, scope, outputs, and best-use cases. You can expect a format that is useful for both newcomers and practitioners who already work with saf
Who should attend
This is for you if you want a more practical understanding of how different hazard analysis methods compare and when to use them. - You work in **systems engineering, safety, reliability, quality, or risk-related roles** and want a clearer framework for choosing between HARA, HAZOP, and STPA. - You are involved in **design reviews, hazard identification, requirements, or safety documentation** and need to understand how these methods shape analysis outputs. - You are a **technical lead, architect, or engineering manager** trying to align teams around a hazard analysis approach that fits the system and the project constraints. - You are **learning safety analysis for the first time** and want a comparison that helps the concepts click instead of studying each method in isolation. - You already know one of these techniques and want to understand **how the others differ in assumptions, process, and use cases**. - You enjoy **technical community events** where you can hear how other practitioners think through method selection, tradeoffs, and real-world application. If you have ever asked, "Which of these approaches actually fits the problem in front of me?" this event is likely to feel immediately relevant.