RSI performs rigorous analysis of survey data using appropriate statistical techniques and contextual interpretation. Whether analyzing perception, behavior, or system feedback, RSI integrates findings into broader assessments. Its ability to connect survey results to policy and modeling frameworks enhances the value of survey-based research in understanding risk.

RSI employs qualitative synthesis when integrating stakeholder perspectives, expert panels, or case history findings into its risk frameworks. The firm uses logic models, evidence tables, and deliberative processes to structure non-quantitative inputs. This expands the evidence base for decision-making, especially where formal data alone is insufficient.

RSI has a long-standing practice of developing customized decision-support tools, ranging from exposure calculators to regulatory impact models. Its teams combine scientific modeling, user-centered design, and policy knowledge to ensure tools meet practical demands. RSI emphasizes transparency in model logic and documentation, allowing clients to maintain, audit, and explain tool outputs long after deployment. This method supports a range of Understanding Risk engagements and often bridges into risk management workflows.

RSI uses message tailoring to deliver risk communications that are both inclusive and persuasive. It combines audience profiling, behavioral insight, and content modularity to adapt messages across contexts. RSI’s tailored messaging approach is grounded in research and refined through iterative testing.

RSI integrates segmentation into risk communication strategies by leveraging both qualitative insights and quantitative analytics. The firm designs communication plans that reflect the unique concerns, values, and informational needs of distinct stakeholder groups—whether they be industry leaders, vulnerable populations, or general publics. RSI ensures that messaging is evidence-based, targeted, and dynamically updated as new data emerge.

RSI emphasizes process documentation in all engagements, producing structured protocols, audit trails, and technical appendices. The firm’s standardized templates support consistency across projects while allowing customization to client needs. This method ensures RSI’s work can be verified, explained, and transferred across teams or jurisdictions.

RSI applies system mapping in environmental, health, and policy domains to clarify how risk drivers and outcomes interact. The firm uses participatory and analytical techniques to ensure maps reflect both technical realities and stakeholder views. RSI uses system maps to guide modeling, communication, and planning.

RSI offers benchmark dose modeling and reference value derivation as part of its technical modeling and toxicological services. Its staff are experienced with tools like BMDS and PROAST, and apply international best practices for model fitting, critical effect selection, and uncertainty factor justification. RSI documents decisions with transparency, providing clients with not only reference values, but defensible narratives suitable for regulatory or policy use.

RSI facilitates risk prioritization workshops using tools such as risk matrices, MCDA, and facilitated consensus. Its approach balances technical input with participatory deliberation to create shared understanding and buy-in. RSI ensures that prioritization outcomes are documented, traceable, and integrated into planning and resource allocation processes.

RSI uses attitudinal research to inform how technical risk assessments are likely to be received and acted upon. By pairing social science methods with structured stakeholder mapping, RSI helps clients integrate public values into policy planning and risk framing. This approach is especially useful in contentious or uncertain domains, where trust and perception may drive more outcomes than formal risk calculations. RSI’s ability to translate sentiment into actionable insight strengthens its Understanding Risk capacity.