RIIARO308 — Use data in an autonomous workplace
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What an assessment for RIIARO308 must cover
48 assessable components: 4 elements (20 performance criteria), 6 performance evidence and 16 knowledge evidence requirements, plus 6 foundation skills. An audit-defensible tool maps every question and task back to these — that mapping is the coverage matrix Auditori generates alongside the assessment.
Elements & performance criteria
1 Source data from autonomous equipment or systems
- 1.1Locate and examine work instructions and/or procedures for tasks performed alongside autonomous equipment or system controlling a related device
- 1.2Access and apply current work health and safety (WHS) documentation relevant as detailed in work instructions
- 1.3Receive relevant equipment and systems performance and maintenance data from remote operations controllers
- 1.4Interpret information or data to confirm diagnostic work that may be required
- 1.5Confirm that sensors, system components, and equipment interfaces used to source diagnostic data are in correct operational mode
2 Retrieve data through the HMI
- 2.1Identify safety risks associated with data retrieval and apply workplace personal safety procedures relevant to own role, as required
- 2.2Identify diagnostic tools and devices needed to collect relevant equipment or environment data
- 2.3Prepare data acquisition tools or device according to task requirements and/or manufacturer operational guidelines
- 2.4Receive and record data from sensors and/or the device interfacing with the equipment
- 2.5Collect and save appropriate data in accordance with work task requirements and organisational procedures
3 Analyse data and apply data-driven decision making
- 3.1Interpret data for preliminary indication of faults to inform decision making in real time, according to level of own responsibility and escalate according to procedures
- 3.2Analyse data points, trends, and patterns using mathematical processes to confirm that components and environment conditions are within the normal safety limits, according to organisational protocols
- 3.3Identify anomalies in data and assess accuracy and correlation to decreased operational efficiency and/or safety in line with organisational and manufacturer requirements
- 3.4Diagnose potential issues and malfunctions and determine the best workable solution to rectify or optimise according to level of own responsibility, and escalate malfunctions where required
4 Finalise reporting activities and work processes
- 4.1Identify internal and external end users of the data within the value chain
- 4.2Clearly, promptly, and securely communicate data and recommendations to remote operations controller and other identified personnel in accordance with organisational communication protocols
- 4.3Monitor impacts to confirm the desired results and report on outcomes to aid continuous improvement, as required by organisational processes
- 4.4Exit work area according to autonomous system and component manufacturer specifications and site requirements
- 4.5Securely document and store data, and log findings in accordance with operational requirements
- 4.6Prepare diagnostic tools and devices for storage or further use according to manufacturer and operational instructions
Performance evidence
- demonstrate the following on at least 3 occasions:
- using diagnostic tools and devices to safely access and interpret autonomous equipment and systems data, including: collecting; analysing; prioritising; storing; displaying
- clear and timely communication of data information to necessary stakeholders within the value chain
- compliance with organisational requirements and protocols for secure data storage and communication
- demonstrate data-driven decision making on at least 1 occasion using relevant data analytical techniques.
- During the above, the candidate must: apply relevant work health and safety (WHS) and personal safety documentation, policies, and procedures.
Knowledge evidence
- data in an autonomous workplace, including: data types
- methods for identifying data types and sources, including: organisational, industry-wide, national, universal data types; readily available; difficult to collect and verify
- sources of data types in an autonomous environment, including: sensor-generated; integrated systems
- operational functionality of diagnostic tools, devices, and technologies required by own work instructions
- organisational work health and safety (WHS) and personal safety procedures, documentation, and policies
- impacts on processes in own role of emerging developments in industry data functionality, including: artificial intelligence; big data; data analytics; hybrid systems
- techniques for, and approaches to, handling data, including: graphical representations – display and interpretation; algorithms and equations; simulation techniques; identifying and understanding anomalies and breaks in trends; volumes, variety and velocity (rate of change or growth in data)
- organisational requirements in relation to data security and their impact on: maintenance and storage of data; communication of data
- operational functionality of sensors, devices, systems, remote interfaces, and human-machine interfaces (HMI) in providing data on autonomous operations, including how data may be applied to aid continuous improvement of organisational processes
- organisational value chain, including: own role and responsibility within the value chain; key roles and personnel dependent on the outcomes of own work activities; appropriate communication channels and procedures across the chain
- operational procedures for communication devices used in own work role, including for radios, telephones, tablets, screens, and computers
- modes of operation and expected behaviours of autonomous equipment
- techniques to collect, interpret, and transmit different data types in own role
- communication protocols for: radios; telephones; email; group instant messaging applications
- issues that impact personal safety in an autonomous workplace, including: safety zones and behaviour in autonomous zones; isolation procedures and verification
- organisational escalation procedures and decision rights in own role.
Foundation skills
- Reading: Determines data requirements and sources from work instructions and control room information
- Numeracy: Uses basic mathematical operations to calculate and compare numerical information with expected values
- Numeracy: Selects from and uses a variety of problem-solving strategies in a range of familiar and less familiar contexts
- Communication: Uses digital technologies and applications to access, organise and share data and information within organisation’s network
- Communication: Receives and presents information using a variety of mediums in an autonomous workplace
- Digital literacy and technology: Operates computer-based data acquisition tools and devices to collect, interpret, and analyse data in differing formats
Unit content sourced from training.gov.au — © Commonwealth of Australia, licensed under CC BY 4.0. Auditori is not affiliated with the Department of Employment and Workplace Relations.
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Real, unedited Auditori output (RIIHAN201E shown), branded for a sample RTO:
Questions about assessing RIIARO308
What does an assessment tool for RIIARO308 need to cover?
To satisfy the Principles of Assessment and Rules of Evidence, an assessment for RIIARO308 needs to address all 48 unit components: 4 elements with 20 performance criteria, 6 performance evidence requirements, 16 knowledge evidence requirements, and the foundation skills. A coverage matrix mapping each question and task to these components is what an auditor looks for.
How does Auditori generate an assessment tool for RIIARO308?
Auditori pulls the current release of RIIARO308 from training.gov.au and generates a complete package: candidate assessment, assessor guide with model answers and observation criteria, and a coverage matrix mapping every component. A suitably qualified person then reviews and approves the draft in a built-in workflow — consistent with ASQA's guidance on AI use in VET — before export as branded PDF and editable Word.
Is the first assessment tool really free?
Yes. Every new account includes one free credit — enough to generate the complete assessment tool for RIIARO308 — with no card and no subscription required. After that it's pay-as-you-go per unit.
Can I check my existing RIIARO308 assessment instead of generating a new one?
Yes — upload your existing assessment or learner guide and Auditori maps it against every element, performance criterion, PE and KE of RIIARO308, showing exactly what's covered and what's missing. Mapping costs a quarter of a credit.
Related units
- RIIARO201 — Work in autonomous operations
- RIIARO202 — Use data and technology to complete work in autonomous operations
- RIIARO301 — Work safely in autonomous environments
- RIIARO302 — Work safely with remotely piloted aircraft systems
- RIIARO303 — Operate equipment in autonomous environments
- RIIARO304 — Coordinate and interact with autonomous systems
- RIIARO305 — Build and maintain routes for autonomous operations
- RIIARO306 — Respond to obstructions to autonomous operations
- RIIARO307 — Activate and deactivate autonomous systems
- RIIARO401 — Supervise autonomous operations
- RIIARO402 — Optimise performance of complex control systems in autonomous operations
- RIIARO403 — Maintain continuity of operational control
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