Mar 2026

Risk Matrix Assessment

A structured framework for evaluating and communicating risks along two primary axes — probability of occurrence and severity of impact — producing a visual matrix that enables prioritization and resource allocation. The risk matrix is an industry-standard tool used across defense, aerospace, insurance, and policy domains. Its intellectual lineage runs from actuarial science through systems engineering (MIL-STD-882) to modern enterprise risk management (ISO 31000). In the space domain, it provides a common language for comparing heterogeneous risks — from orbital debris collision to regulatory disruption to cyberattack — on a single, comparable scale.

Mar 2026

S-Curve Lifecycle Analysis

Analysis of a technology's maturity phase along the characteristic S-shaped adoption/performance curve: emergence (slow initial progress), rapid growth (steep climb), maturity (plateau), and decline or displacement. Rooted in Everett Rogers' diffusion of innovation theory (1962) and Richard Foster's work on technology S-curves (1986). Identifies inflection points — the moments when growth accelerates or decelerates — and windows of opportunity for investment, adoption, or disruption. In the space sector, S-curve analysis illuminates where technologies like reusable launch, satellite broadband, or in-situ resource utilization sit in their lifecycle and what comes next.

Mar 2026

Scenario Planning

Construction of alternative future scenarios based on critical uncertainties. Not prediction, but structured exploration of plausible futures. Rooted in the Shell/RAND tradition (Herman Kahn, Pierre Wack), later refined by Peter Schwartz and the Global Business Network. Typically produces 3-4 scenarios arranged on a 2x2 matrix defined by two orthogonal uncertainties. Each scenario is an internally consistent narrative of how the future might unfold.

Mar 2026

Stakeholder Mapping Analysis

Systematic identification and classification of all actors relevant to a strategic issue, organized by interest, influence, position, resources, and legitimacy. Draws on Freeman's stakeholder theory (1984), Mitchell et al.'s salience model (power-legitimacy-urgency), and Mendelow's power/interest matrix. The method produces structured maps that reveal who matters, why, and how much — forming the foundational layer for any multi-actor strategic analysis.

Mar 2026

Supply Chain & Dependency Analysis

Framework for mapping and assessing the structure, vulnerabilities, and resilience of supply chains in technology-intensive industries. Draws on supply chain management theory (Christopher, 2016), dependency analysis from critical infrastructure studies, and strategic supply chain risk management (Sheffi, 2005; Chopra & Sodhi, 2004). The method traces the flow of materials, components, and subsystems from raw inputs to final integration, identifying critical dependencies, single points of failure, chokepoints, and geopolitical exposure. In the space sector, supply chain analysis is essential: radiation-hardened electronics face concentrated sourcing, rare earth elements for satellite components depend on a handful of suppliers, propulsion subsystems involve controlled technologies, and export control regimes (ITAR, EAR) impose hard constraints on sourcing and cross-border flows.

Mar 2026

Technical Benchmark Comparison

Structured comparison of alternative technological solutions against a common set of performance parameters, trade-offs, costs, risks, and ecosystem factors. Descends from systems engineering trade study methodology (NASA SE Handbook, INCOSE standards) and competitive benchmarking practices. Goes beyond simple spec-sheet comparison by analyzing the underlying trade-off architecture: why each solution makes the engineering choices it does, what it optimizes for, and what it sacrifices. In the space sector, directly applicable to launcher comparisons (reusable vs. expendable), orbit selection (LEO vs. MEO vs. GEO for broadband), propulsion alternatives (chemical vs. electric vs. nuclear), and platform architectures (monolithic vs. distributed).

Mar 2026

Technology Readiness Assessment

Systematic evaluation of technology maturity on the 1-9 Technology Readiness Level (TRL) scale, originally developed by NASA in the 1970s and now an international standard (ISO 16290). Ranges from TRL 1 (basic principles observed) to TRL 9 (system proven in operational environment). Includes gap analysis between current maturity and target level, identifying the specific engineering, testing, and validation steps needed to bridge the gap. Widely adopted across space agencies (NASA, ESA, JAXA) and defense procurement.

Mar 2026

Technology Risk Assessment

Systematic identification, analysis, and prioritization of risks inherent in technology development, deployment, and operation. Combines Failure Mode and Effects Analysis (FMEA/FMECA, MIL-STD-1629, IEC 60812), Fault Tree Analysis (NASA Fault Tree Handbook), and bow-tie methodology to map how technologies can fail, what causes failures, what their consequences are, and how risks can be mitigated. Grounded in systems safety engineering (Leveson, 2011) and risk-informed decision making (NASA NPR 8000.4). Unlike security threat modeling (which examines adversarial threats), technology risk assessment focuses on intrinsic technical risks: design limitations, manufacturing defects, environmental stresses, integration failures, operational errors, and degradation over time. In the space sector, where systems operate in extreme environments with limited repair options, technology risk assessment is foundational to strategic analysis of any technology-dependent topic.

Mar 2026

Technology Roadmapping

Temporal mapping of technology evolution linking technology development, product capabilities, and market/mission needs along a shared timeline. Originated in the 1970s at Motorola, formalized by the Cambridge T-Plan methodology. Identifies milestones, dependencies, critical paths, and decision points across multiple technology streams. In the space domain, roadmaps are the backbone of strategic planning at agencies (NASA Technology Taxonomy, ESA Harmonisation) and increasingly in commercial space ventures planning multi-generation architectures.

Mar 2026

Threat Modeling

Systematic identification and characterization of threats to a system, asset, or domain. Rooted in military intelligence tradecraft and later formalized in cybersecurity (STRIDE, PASTA, ATT&CK), threat modeling maps adversarial actors, their capabilities, intent, opportunity, and attack vectors against a defined target. In the space domain, it applies to physical assets (satellites, ground stations, launch infrastructure), cyber systems (TT&C links, data pipelines), and hybrid scenarios (electronic warfare, supply chain compromise).