See how real hazards are named, rated before and after controls, and assigned to an owner. Each assessment is built around a vaayaa course, so you learn the method in the field you are studying.
Choose the field closest to your course.
Every page follows the same simple pattern.
Each hazard describes what could go wrong and who could be affected.
Likelihood times impact gives a score from 1 to 25, first before controls and then after.
Existing and additional controls explain how the score comes down.
A named role owns each hazard and a trigger says when to look again.
A worked example of how a hotel revenue team finds, scores and controls risks to room income, pricing accuracy, guest data, staffing and safety, so that yield decisions do not create harm to guests or staff.
A worked example of how a mid-sized hotel finds, scores and controls risks in its property management system, payment flows, booking channels, guest data, kitchen information and life safety links, with owners and warning signs for each.
A worked example of how a mid-sized hotel finds, scores and controls technology risks that affect bookings, guest data, door access, fire systems, supplier services, kitchen information and digital accessibility.
A worked example of how a hotel-style housekeeping and property maintenance team finds, scores and controls risks to guests, staff, property and guest data, from chemicals and fire to privacy, accessibility and fatigue.
A worked example of how a people function identifies, scores and controls risks to staff records, fair selection, workload, training quality and the talent pipeline across the employment life cycle.
A worked example of how an illustrator identifies, scores and controls the risks that affect briefs, revisions, technical delivery, usability, rights and client trust in commissioned illustration work.
A worked example of how a smart manufacturing line finds, scores and controls the risks that arise when machines, controllers, networks and people work together, from unintended motion and cyber exposure to supplier dependency and procedural deviation.
A worked example of how an automation team identifies, scores and controls hazards from control logic defects, bypassed interlocks, network exposure, maintenance backlogs and supplier dependencies in a controlled production process.
A worked example of how a plant engineering team finds, scores and controls the risks from sensors, control loops, maintenance work and process hazards that threaten people, equipment and output.
A worked example of how a plant team identifies, scores and controls risks from connected sensors, gateways, controllers and data platforms, covering electrical, cyber, reliability, supplier and human factors.
A worked example of how a maintenance and reliability team finds, scores and controls the risks that threaten plant availability, people and the integrity of critical equipment, from specification mismatch to isolation errors.
A worked example of how a process plant team identifies, scores and controls the hazards that threaten people, equipment and the environment, from loss of containment and isolation errors to design defects and procedural deviations.
A worked example of how a manufacturing site identifies, scores and controls risks from connected machines, robots, sensors, data platforms and external technology suppliers.
A worked example of how a ward and outpatient infection team finds, scores and controls the risks linked to infection, immune response and antimicrobial treatment, from delayed recognition of sepsis to specimen errors and staff exposure.
A worked example of how a brand marketing team finds, scores and controls the risks in paid creator, affiliate and partner campaigns, from misleading claims and fake traffic to personal data use and account security.
A worked example of how a digital consulting practice finds, scores and controls the risks that threaten client systems, data, fees and reputation, from unclear ownership and handover gaps to outages and supplier dependency.
A worked example of how a platform team finds, scores and controls the risks in managing cloud infrastructure through version-controlled code, from identity and misconfiguration to state, supply chain and recovery.
A worked example of how a general insurance function finds, scores and controls the risks that threaten pricing, claims settlement, reserves and reinsurance recoveries, with owners, warning indicators and escalation rules.
A worked example of how an advisory team identifies, scores and controls the risks behind insurance placement, risk reporting and audit work, from liquidity and valuation uncertainty to data exposure and conflicts of interest.
A worked example of how a design studio identifies, scores and controls the risks in interior, spatial and industrial product design, from unclear briefs and licensing to testing, usability and production defects.
A worked example of how a teaching team finds, scores and controls risks in general internal medicine and hospital ward care, from delayed deterioration and medication harm to handover gaps, privacy and equipment failure.
A worked example of how audit teams identify, rate and control risks to evidence quality, auditor independence, system access, data integrity and fraud detection across internal, external and IT audit work.
A worked example of how a finance and tax team in a multinational group finds, scores and controls the risks that arise when intercompany prices, cross-border payments and tax records are not properly managed.
A worked example showing how a consultant team finds, scores and controls the trade, environmental and reporting risks that affect clients, communities and the consultancy's own credibility.
For Learning Reference Only: This assessment demonstrates how risk assessment principles are applied in a practical setting, providing a useful reference for learning and understanding. Actual assessments may be adapted to suit specific site conditions and circumstances.
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