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The following posts are in no particular order. They are purposely randomized.

Methods

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.

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Understanding methods

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.

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Understanding methods

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.

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Understanding methods

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.

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Methods

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.

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Understanding methods

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.

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Understanding methods

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.

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Methods

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.

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Understanding methods

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.

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Understanding methods

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.

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