Are you an analyst new to OR and looking to expand your skillset? 

Problem Structuring Methods (PSM) are crucial tools for working with strategic and complex problem situations, enabling analysts to structure qualitative data effectively. Whether you are a Data Analyst, Operational Research Analyst, Management Consultant, Policy Analyst, or GORS Fast Streamer – Our Introduction to PSMs in Operational Research course in Birmingham on 18 July, will bring your analysis to life. 

You’ll come away with a comprehensive understanding of PSMs and their relevance in strategy-making, problem-solving, decision-making, and policymaking. Plus, this course has no prerequisites, so whether you're an experienced analyst or just starting in the field of OR, you can dive straight into this course and enhance your analytical capabilities! 

Who is this for? 

Tailored for analysts who wish to incorporate soft approaches into their OR practice, whether you work in the public sector, private sector, or third sector, PSMs are relevant in helping you deal with qualitative data and facilitating workshops. If you aspire to participate in strategic projects or handle complex problem situations, this course will equip you with the necessary skills and knowledge you need to excel. 

What skills you will gain? 

You will cover a wide range of topics, from Soft Systems Methodology (SSM), Strategic Options Development and Analysis (SODA), Causal Mapping, Rich Picturing, to Systems Modelling, Strategic Choice Approach (SCA), and Robustness Analysis. Additionally, you'll have the opportunity to critically evaluate the various PSMs and you will learn practical techniques like SSM and SODA through hands-on exercises and real-life case studies. 

Acquire valuable skills in identifying opportunities for PSM approaches, designing PSM interventions, mapping the strategic situation of an organisation, surfacing strategic issues, generating new ideas, and developing action plans. Plus you’ll gain expertise in using soft OR tools including rich pictures, causal mapping, and systems modelling. 

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