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 restaurant team finds, scores and controls the risks that threaten guests, staff, food quality, cash and reputation during daily service.
A worked example of how a bank operations team identifies, scores and controls risks in retail and commercial banking, from handover errors and payment fraud to outages, supplier dependency and conduct duties.
A worked example of how a technical team finds, scores and controls the risks of software bots that move data between business systems, covering credentials, data exposure, change control, vendor dependence and recovery.
A worked example of how an automation engineering team finds, scores and controls hazards from robot motion, stored energy, network exposure, sensor defects and procedural error in a connected production cell.
A worked example of how a small studio finds, scores and controls the risks that threaten people, kilns, client commitments, intellectual property, cultural respect, delivery of finished work and reliable design records.
A worked example of how a paid search team finds, scores and controls the risks that threaten brand trust, budgets, account security, privacy compliance and the accuracy of campaign results.
A worked example of how a small marketing team finds, scores and controls the risks that threaten organic search visibility, content quality, visitor data and the trust of readers and customers.
A worked example of how a trading desk and its support functions find, score and control the risks in securities and derivatives, from mispriced positions and counterparty default to conduct breaches and weak reconciliations.
A worked example of how a small marketing team finds, scores and controls the risks in writing search-focused copy, from misleading claims and privacy breaches to fake traffic, budget drift and account compromise.
A worked example of how a site reliability team finds, scores and controls the risks that threaten service availability, access, customer data and recovery, from identity compromise and misconfiguration to vendor failure and on-call fatigue.
A worked example of how a small smart factory team identifies, scores and controls risks in connected machines, sensors, plant software and supplier links, from cyber exposure and data errors to skills gaps, quality drift and safety.
A worked example of how a marketing team identifies, scores and controls the risks that threaten privacy, legal compliance, brand trust, budgets and account security across its campaigns.
A worked example of how a software team identifies, scores and controls the risks that threaten the confidentiality, integrity and availability of a shared application, from dependencies and identities to logging, recovery and privacy duties.
A worked example of how a full-stack product team finds, scores and controls the risks that threaten source code, customer data, service availability and the trust placed in each release.
A worked example of how a software quality assurance and test automation team finds, scores and controls risks such as flaky tests, escaped defects, exposed test data and fragile pipelines, and how ratings change once controls are in place.
A worked example of how an installer finds, scores and controls the risks in a rooftop solar project, from electrical shock, falls and fire to design faults, maintenance, suppliers and legal duties.
A worked example of how a specialty and ethnic cuisine restaurant finds, scores and controls risks to guests, staff, supplies, data, payments and reputation, with owners, warning signs and review triggers.
A worked example of how a speech-language pathology and audiology service finds, scores and controls risks to patient safety, privacy, equipment and continuity of care, with clear owners and escalation routes.
A worked example of how a finance team finds, scores and controls the risks in structuring debt and equity raises, from valuation error and conflicts to cash waterfalls, data integrity and investor reporting.
A worked example of how a mid-sized distribution team finds, scores and controls the risks that interrupt supply, distort purchasing and sales, and leak money from the order to payment cycle.
A worked example of how an administration team finds, scores and controls the risks to servers, network devices, backups and data, from privileged access and misconfiguration to malware, third parties and weak logging.
A worked example of how an engineering team finds, scores and controls the risks in planning, building and running a wireless and telecommunications network, from site work and radio exposure to configuration errors and supplier delays.
A worked example of how a small textile, apparel and footwear factory finds, scores and controls risks, from fit and fabric defects and licensing disputes to leaked designs, late orders and hard to use product information.
A worked example of how an engineer finds, scores and controls the risks in heating, ventilation and cooling systems, from refrigerant, electrical and combustion hazards to sizing errors, poor commissioning and supplier dependence.
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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