Critical Thinking Masterclass Training Course

Participants can build, inspect and strengthen the logical structure of a recommendation.

• Toulmin Model separates claim, grounds, warrant, backing, qualifier and rebuttal
• Argument maps expose linked premises, convergent support and inferential gaps
• Validity tests distinguish deductive entailment from plausible but unsupported conclusions
• Steelman reconstruction states an opposing argument in its strongest defensible form
• Counterexamples test universal claims, causal assertions and threshold conditions
• Argument audit labels evidence, inference, assumption, objection and unresolved uncertainty

Participants can judge whether evidence is credible, relevant and sufficient for a decision.

• Evidence hierarchy distinguishes primary data, systematic reviews, expert opinion and anecdote
• Source triangulation compares independence, provenance, incentives, recency and methodological quality
• CRAAP test assesses currency, relevance, authority, accuracy and purpose
• Claims tables separate observed facts, interpretations, forecasts and recommendations
• Sampling error, selection bias and survivorship bias affect reported findings
• Evidence dossiers link each material claim to traceable supporting sources

Participants can reason more accurately about likelihoods, estimates and uncertain outcomes.

• Base-rate reasoning counters vivid-case bias when estimating likelihoods and frequencies
• Bayesian updating revises prior beliefs using likelihood ratios and new evidence
• Expected-value analysis compares options under uncertain outcomes and stated assumptions
• Fermi estimates decompose unknown quantities into testable numerical components
• Confidence intervals and effect sizes prevent overreading small reported differences
• Sensitivity analysis identifies assumptions that materially change a recommendation

Participants can distinguish causal explanations from correlation and superficial root-cause claims.

• Causal diagrams distinguish confounders, mediators, colliders and direct mechanisms
• Correlation claims tested against reverse causality, common causes and selection effects
• Five Whys traces proximate causes without mistaking repetition for explanation
• Fault tree analysis models combinations of failures producing a defined event
• Process tracing links events, decisions and evidence along a causal chain
• Counterfactual questions specify what would differ under a credible alternative

Participants can recognise predictable judgment errors and apply practical debiasing controls.

• Recognition-primed decisions compared with analytical reasoning under time pressure
• Confirmation bias managed through disconfirming evidence and competing hypotheses
• Anchoring, availability and framing effects diagnosed in executive recommendations
• Debiasing protocols use reference classes, blind estimates and structured dissent
• Calibration checks compare confidence statements with later observed outcomes
• Decision journals capture rationale, uncertainty, assumptions and expected results

Participants can test rival explanations systematically rather than seek confirming evidence.

• Competing hypotheses frame alternative explanations before collecting confirming evidence
• Analysis of Competing Hypotheses rates evidence consistency across rival explanations
• Prediction tables state observable consequences for each proposed explanation
• Falsification criteria define evidence that would weaken or reject claims
• Discriminating tests target observations where hypotheses make different predictions
• Stop rules prevent endless analysis after decision-relevant uncertainty is resolved

Participants can compare options transparently and make recommendations with explicit trade-offs.

• Decision quality separates outcome quality from process quality and luck
• Multi-criteria decision analysis weights objectives, scores options and tests trade-offs
• Decision matrices expose hidden criteria, inconsistent scoring and veto conditions
• Value of information compares further research cost against expected decision improvement
• Reversibility and option value shape timing for high-consequence commitments
• Recommendation memos distinguish decision, rationale, risks, conditions and next actions

Participants can organise rigorous challenge without turning disagreement into personal conflict.

• Red teams challenge plans using adversary goals, capabilities and constraints
• Pre-mortem analysis identifies plausible failure modes before commitment
• Devil's advocacy assigns evidence-based objections without performative disagreement
• Dialectical inquiry compares competing recommendations under shared decision criteria
• Kill criteria define conditions requiring escalation, pause or withdrawal
• Escalation-of-commitment signals trigger independent review and decision reset

Participants can present reasoning clearly, invite informed challenge and apply the methods to live work.

• Claim-evidence-reasoning structure turns analysis into concise executive communication
• One-page decision briefs state recommendation, evidence, uncertainty and required action
• Visual argument maps make dependencies, objections and evidence gaps inspectable
• Meeting interventions surface assumptions, test logic and clarify decision rights
• Personal application plan selects a live decision, stakeholders and review dates
• Peer review protocol tests clarity, traceability, proportionality and actionable conclusions