Workforce Planning with Skills and Credential Data
From credential data to workforce decisions.
Why this course
Workforce planning is a company goal on the ICoBC website. Wave 3 because it needs skills data that most organisations will only have once earlier courses take effect.
What you will be able to do
- Build a view of skills supply and demand using credential data.
- Identify gaps and choose between building, buying and borrowing skills.
- Connect credentials with job architecture.
- Govern skills data quality and privacy.
Modules
- Skills data
- Gap analysis
- Job architecture
- Governance
Assessment
Skills gap analysis for one job family.
Badge evidence: Gap analysis.
Prerequisites: ICB-P16
Who it is for
- Companies and employers
Framework alignment
Skills-based talent practice (TALN, VRITE pillar Impact)
Related skills: Impact and evidence of value, Skills taxonomies and alignment. About the framework
Use in your organisation
In corporate training
Blended cohort module for HR, talent acquisition and mobility; Executive sponsors (CHRO, CLO, CDO); L&D and corporate academy leads. Badge aligns to ICSF TALN L4 (SFIA 5) and can be referenced in role profiles. Counts as skill evidence; competency on the job needs a V-series validation.
In education
Micro-credential of 10 h notional workload (about 0.4 ECTS), indicative EQF 6 to 7, assessed by assessed practical task with rubric. Stacks into pathway PW05.
EU micro-credential elements
| Awarding body | ICoBC e.V. or licensed issuer. Learning outcomes: see column. Notional workload: 10 h (about 0.4 ECTS). Level: ICSF L4, EQF 6 to 7 (indicative). Type of assessment: assessed practical task with rubric. Form of participation: Blended: online self-study and facilitated cohort sessions. Type of quality assurance: ICoBC internal QA against VRITE. Prerequisites: ICB-P16. |
|---|
Elements following the Council Recommendation of 16 June 2022 on a European approach to micro-credentials.
Part of these pathways
- HR and Talent: Skills-Based Organisation step 7 of 7
Quality and AI
Quality focus: VRITE Impact.
AI dimension: AI skills inference in workforce data.
Improve this course
The course is open on GitHub in LiaScript format under CC BY 4.0. View the source or read how to suggest a change.