Find Your Original Submission
Use your browser's search function (Ctrl+F or Cmd+F) to find keywords from your original submission in the table below.
The table shows how your original idea was categorized into an ID, summary description, and cluster.
IDs with "M" are major themes, IDs with "S" are specific items from the original board. The numbering is for this purpose only - it has no implications for prioritisation or future consultation.
There are many different ways to cluster the ideas. For this purpose I was thinking what was common in terms of knowledge/experience for contributors. The clusters also have no implications for prioritisation or future consultation.
| ID | Summary | Original Submission | Cluster |
|---|---|---|---|
| M01 | Framework cross-walking examples with other frameworks like DigComp | More examples of framework cross-walking • show how SFIA and other frameworks can work together • good example would be SFIA and DigComp | Cluster 14: Framework Interoperability |
| M02 | Integrate technical, business and social skills across disciplines | Interdisciplinary integration - Modern government problems (climate, cybersecurity, AI policy) require cross-disciplinary skills - Break down silos by blending technical, business, and socio-emotional competencies - Combine skills from different fields so people aren't limited to one narrow area | Cluster 12: Cross-Sector Policy & Strategy |
| M03 | Define comprehensive ESG practice, reporting and delivery capabilities | ESG Practice and Reporting Capability (Skills below - not filtered) ESG strategy & roadmap – define priorities, targets, and sequencing aligned to business strategy. Materiality & double-materiality – identify issues that matter to stakeholders and to enterprise value. Standards & regulation literacy – interpret/apply ISSB/IFRS S1–S2, GRI, TCFD, TNFD, CSRD and local rules. Governance & policy – set roles, accountabilities, policies, and board reporting rhythms. Stakeholder engagement – plan and run engagement with investors, employees, customers, regulators. Indigenous/Māori engagement – embed Te Tiriti principles and Māori data sovereignty where relevant. Carbon accounting – quantify Scopes 1–3 per GHG Protocol; set and track reduction plans. Climate risk & scenarios – perform physical/transition risk analysis and resilience planning. Biodiversity & nature – assess dependencies/impacts and align with TNFD/nature metrics. Supply-chain due diligence – modern slavery, human rights, and responsible sourcing controls. Human capital & DEI metrics – define measures for workforce wellbeing, inclusion, and safety. Data governance & controls – define owners, lineage, quality checks, audit trails for ESG data. ESG systems & tooling – select/configure data pipelines, calculators, and dashboard/report tools. KPIs, targets & SBTi – set science-based targets and operational KPIs with baselines. Lifecycle assessment (LCA) – evaluate product/service footprints and hotspots. Finance linkage & valuation – connect ESG to capex/opex, scenario valuations, and taxonomies. Reporting & narrative – produce clear, consistent annual/sustainability/integrated reports. Assurance readiness – prepare evidence packs for limited/reasonable assurance. Change management & training – build capability and embed behaviours across the organisation. Programme & project management – plan, sequence, and deliver ESG initiatives at pace. Portfolio / investment management and reporting related for 'over threshold' organisations (e.g. Meridian) PCAF and Global GHG accounting standards (noting they belong above) | Cluster 4: ESG & Sustainability |
| M04 | Review contemporary relevance of behaviours | Review of behaviours are they contemporary? | Cluster 17: Behavioural factors/Generic attributes |
| M05 | AI as standalone category grouping related skills | AI as standalone category: · Opportunity to group AI work in one place as the field expands · Helps avoid scattering skills across unrelated areas? My only reservation when writing was will it just permeate everywhere in the end? (SFIA20…) | Cluster 1: AI Capabilities |
| M06 | Enable SFIA skills to appear on LinkedIn profiles | Partner with LinkedIn • so people can put SFIA skills in their LinkedIn profile | Cluster 19: Partnerships |
| M07 | Extend SFIA to cover civil engineering skills | Encompass civil engineering skills | Cluster 10: Civil Engineering |
| M08 | Transferable credentials across sectors and geographies | Credential portability - Ensure skills and certificates are transferable across sectors and geographies - Let people use their skill credentials anywhere - across jobs, jurisdictions or agencies - Supports mobility across departments, reducing siloed career pathways | Cluster 13: HR & Talent |
| M09 | Reconsider defining SFIA levels explicitly as skill levels | I am yet to consolidate my thinking re a solution to this but do we review whether they should be defined as skill levels 1-7? I appreciate that would be a big shift but it is seemingly difficult on occasion to ensure prospective users truly understand the structure. | Cluster 15: Marketing/Positioning |
| M10 | Align SFIA language with HR and job description terminology | To encourage more people to use SFIA, align SFIA with HR language instead of IT terminology. This will give better linkages between SFIA skills and job descriptions | Cluster 13: HR & Talent |
| M11 | Strengthen performance-based assessment of real capability | Assessment rigour - Use authentic, performance-based assessments that reflect real-world application - Ensure hiring and promotion are based on proven capability, not just credentials | Cluster 13: HR & Talent |
| M12 | Encompass AI issues in privacy and security skills | Encompass AI issues in privacy and security skills | Cluster 1: AI Capabilities |
| M13 | Capture modern AI lifecycle and operations as coherent practice | Modern AI delivery practices: · The category with sub-categories for AI presents a chance to capture model lifecycle, monitoring and evaluation as a coherent discipline · The utility then being making it easier for teams to describe and mature their AI operations | Cluster 1: AI Capabilities |
| M14 | Applied AI in product discovery, design and delivery | Applied AI in product work: · This is big internally for us as AI now augments discovery, design and delivery · SFIA could recognise this as a distinct competency path? Has to be human-led/control though | Cluster 1: AI Capabilities |
| M15 | Publish SFIA using Rich Skills Descriptor format | Publish SFIA in RSD format • RSD = Rich Skills Descriptors • https://www.openskillsnetwork.org/rsd | Cluster 14: Framework Interoperability |
| M16 | Marketing campaign mapping learning resources like AQF, VET | Resources and marketing campaign to promote mappings of learning resources such as AQF, VET training packages and industry micro-accredited courses such as Microsoft, and Linkedin Learning. | Cluster 19: Partnerships |
| M17 | Clarify SFIA applies to all technology, not just IT | IT management in Airservices Australia is outsourced, therefore many Airservices staff think of "IT staff" as 'the other'. The description of SFIA, and its scope, should be updated to show that SFIA skills encompass all technology and aren't restricted to the "IT staff" silo | Cluster 15: Marketing/Positioning |
| S01 | Clarify how working within legislation fits SFIA | We struggle with how to treat skills to do with working with legislation - not the creation of new legislation, but the more generic working within legislation. It gets a bit of a mention in some compliance (PEDP) and quality skills (QUAS) skills, but I wonder if it could be considered as a generic attribute - I think it would be applicable across much of the public service. | Cluster 3: Legal & Regulatory Practice |
| S02 | Add skill for interpreting and applying legislation | New skill: Law interpretation - Analysing laws and appropriately understanding and applying their meaning (e.g. heavy reliance in public sector for the skill application and not knowledge of different laws/pieces) | Cluster 3: Legal & Regulatory Practice |
| S03 | Expand skills supporting legal, governance and sustainability roles | An opportunity to expand on skills to support the Legal/Governance and Sustainability roles | Cluster 4: ESG & Sustainability |
| S04 | Add skill for external fraud management and control | Potential new skill: External fraud management & control | Cluster 5: Fraud Management |
| S05 | Expand Information/Records/Data Management including GDPR compliance separately | Small expansion to Information, Records and Data Management including to make compliance (eg GDPR) a separate skill. This is a foundational capability for good AI implementation, but not always resourced/understood. | Cluster 2: Data Capabilities |
| S06 | Resolve generic relationship management versus professional RLMT skill | Resolving the issue between generic attribute / business skills regarding relationship management vs. SFIA skill that is targeted at professional stakeholder relationship management (RLMT) | Cluster 17: Behavioural factors/Generic attributes |
| S07 | Integrate priority DCF2 data skills where relevant | Integration of priority DCF 2 skills where appropriate: Data governance, Exploratory data analysis etc | Cluster 2: Data Capabilities |
| S08 | Make attention to detail explicit in attributes or administration | Perhaps include 'attention to detail' - either somewhere in the generic attributes or ADMN - implied in the latter but make explicit? | Cluster 17: Behavioural factors/Generic attributes |
| S09 | Add proofreading skill for validating AI outputs | Add a new "proofreading" skill, to encompass analysis of "AI outputs" to vet and determine their validity or otherwise | Cluster 1: AI Capabilities |
| S10 | Clarify delineation between HCEV and ACIN skills | Delineation between HCEV and ACIN is a little unclear as the latter is described as 'driving accessibility and inclusion in services and products' which is a core principle of UX/human centred design | Cluster 11: Ux/Accessibility Design |
| S11 | Update DCMA for all facilities, not just IT | Update DCMA Facilities Management to encompass ALL "facilities", because there are lots of facilities which aren't part of the "IT estate"; the IT estate is just a sub-set. The current wording reinforces the myth that technology = IT and that IT is the only 'technology', which alienates and irritates engineers and technicians who aren't "IT staff" --- | Cluster 8: Facilities Management |
| S12 | Address growing cyber regulation and compliance skills demand | Cyber, Regulation and Compliance Spike in required skills | Cluster 3: Legal & Regulatory Practice |
| S13 | Display applicable levels on A-Z directory | Display applicable levels on A-Z directory | Cluster 18: SFIA website |
| S14 | Define digital capability development practitioner roles and pathways | Opportunity to define digital capability development roles and career pathways more (the practitioners of SFIA) which are evolving in parallel | Cluster 13: HR & Talent |
| S15 | Define fraud management skills for payment systems | The identification and management of Fraud within payment systems | Cluster 5: Fraud Management |
| S16 | Move SCMO from computational science category | Move SCMO Scieintific Modelling skill out of the 'computational science' category, as there's a huge amount of scientific modelling which isn't "IT focused" or 'computational science' | Cluster 9: Scientific Modelling |
| S17 | Expand hands-on AI skills for emerging roles | Further development of AI skills (for hands on roles based on future state emerging roles (ie prompt Engineer, AI Product Manager and for people utilising AI to execute within their roles and improve productivity | Cluster 1: AI Capabilities |
| S18 | Expand illustrative role descriptions across all families | Expand Illustrative Role Descriptions to cover all families (if not all roles - go wide first to help employers/HR function design better position descriptions) | Cluster 13: HR & Talent |
| S19 | Bridge risk and governance skills in regulated payments | Payments Industry, is becoming more and more regulated and there is an opportunity to close the gap between the skills of RISK and GOVN 9to apply and hold people to account within the roles and responsibilities of providing appropriate output through the regulatory lens | Cluster 6: Payments Industry Regulation |
| S20 | Avoid aligning SFIA directly with ITIL methodology | Avoid all alignment of SFIA with ITIL because ITIL is simply a methodology, which not everyone uses - the scope of SFIA is much much wider than ITIL | Cluster 14: Framework Interoperability |
| S21 | Implement DCF 2 plus geospatial analytics capabilities | Data Capability: Implement DCF 2 + Geospatial Analytics (ignore duplicates with existing SFIA skills) | Cluster 2: Data Capabilities |
| S22 | Question whether SFIA terminology should align with ITIL | Will there be an alignment in terminology with ITIL? | Cluster 14: Framework Interoperability |
| S23 | Add graph analytics data skill | Data skill recommendations: Graph analytics - Developing and applying techniques to analyse and extract insights from graph-based data structures | Cluster 2: Data Capabilities |
| S24 | Recognise quantum and advanced data science skill growth | Quantum, and Data Science is further developing as required skills | Cluster 2: Data Capabilities |
| S25 | Add unstructured data processing and learning systems skill | Data skill recommendations: Unstructured data processing - Developing systems that learn through experience and by the use of data | Cluster 2: Data Capabilities |
| S26 | Expand CRIM for all criminal investigation types | Would be great to see CRIM expanded so it can be applied to all types of criminal investigations. We have heard from our investigators that the line between cyber and forensic and 'standard' investigations has become so blurred, it is unusual now to find crime without a digital element (either to the crime itself or the investigative methods) | Cluster 7: Criminal Investigation |