Archive page of posts in this category or categories:
Methods, Managing methods
The following posts are in no particular order. They are purposely randomized.
Business continuity planning
RSI supports organizations in developing robust BCP frameworks tailored to sector-specific risks and operational realities. RSI helps identify mission-critical activities, define acceptable downtime thresholds, and develop actionable recovery strategies. The firm emphasizes integration of BCP with enterprise risk management and regulatory expectations.
Modeling of rare events
RSI supports rare event modeling through structured scenario development and probabilistic modeling. Its interdisciplinary team helps clients quantify uncertainty, stress-test assumptions, and prepare for high-consequence possibilities. RSI presents rare event outputs with clear framing, enabling proactive planning without overstating precision.
Workshop facilitation for risk identification
RSI designs and runs workshops that draw out both expert and operational perspectives on emerging or systemic risks. Its approach combines participatory mapping, guided brainstorming, and pre-read materials. RSI ensures that identified risks are captured systematically and translated into inventories, matrices, or models that feed into larger risk processes.
Audience segmentation and profiling
RSI incorporates segmentation and profiling into its stakeholder analyses, risk perception studies, and communication planning efforts. By applying statistical clustering, survey tools, or qualitative categorization, RSI helps clients anticipate where support, resistance, or misunderstanding may arise. These profiles are then used to tailor messages, clarify risk framing, or calibrate interventions to diverse audiences. RSI’s ability to contextualize technical findings across stakeholder lines strengthens its broader Understanding Risk offerings.
Technical to management rewriting
RSI provides technical-to-management rewriting services across sectors, ensuring that decision-makers understand the implications of technical analyses. The firm’s writers and analysts work closely with subject experts to preserve intent and nuance while enhancing readability. RSI embeds this method in briefing development, policy submissions, and executive communications.
Data visualization
RSI incorporates data visualization into most of its risk products, using both static and interactive formats. Its team combines analytical rigor with communication insight to design visuals that are clear, interpretable, and aligned with the needs of regulators, policymakers, or the public. RSI ensures that data visuals remain faithful to source data while enhancing accessibility—supporting more informed decision-making across technical and non-technical audiences.
Weighting of lines of evidence
RSI uses structured weighting in integrated assessments, often applying predefined frameworks or stakeholder-informed criteria. Its analysts document rationale and scoring transparently, supporting trust and usability of synthesized results. RSI adapts weighting schemes to each assessment’s context, ensuring balance between methodological rigor and policy relevance.
Social listening
RSI conducts social listening to track evolving sentiment, misinformation trends, and emerging concerns. The firm uses insights to adjust client messaging in real time and inform stakeholder engagement. RSI integrates listening into both strategic campaigns and ongoing risk governance.
Uncertainty propagation modeling
RSI applies uncertainty propagation in its probabilistic risk models, supporting transparency and insight into the range and likelihood of possible results. RSI carefully documents input distributions, validates outputs, and interprets findings for decision contexts. The method helps RSI clients weigh risk-based decisions with a fuller appreciation of possible variation and confidence.
Data analysis and mining
RSI uses data analysis and mining to support evidence synthesis, pattern detection, and trend forecasting in risk contexts. Whether analyzing incident databases, health surveillance data, or regulatory submissions, RSI applies statistically sound methods tailored to data characteristics and decision needs. RSI’s emphasis on interpretability ensures that findings are not only technically valid but also decision-useful—bridging analytics and policy in a coherent risk understanding approach.