Identify parameters, including:
- spatial boundaries
- the level of detail required for sectoral analysis
- the different stages of education and training
Identify stakeholders, intermediaries and partners, including:
- career advisors
- employment support officers
- end users
Draw on a wide set of robust data sources that are timely, accurate and relevant. This may include:
- national surveys
- real-time data and qualitative data collected from interviews and regular meetings with stakeholders
Develop a comprehensive core set of data that can be readily updated to provide time series data
Ensure standard definitions are used for sectors, occupations, and so on, in order to allow for later benchmarking against other geographies.
Synthesise key messages, drawing out the relationship between different metrics and data sources. Include graphic presentations of data.
To confirm that your data accurately captures local labour market characteristics, engage with stakeholders, including employers and labour market experts.
Present trends in the data to partners to test relevance and usefulness before final product is published.
This will help identify gaps in research and indicate where more information is needed to answer remaining queriesMay require the collection of new data to bridge gaps.
Identify priorities for action through a range of processes, including discussions with partners and policy makers.
Identify what has been successful in policy implementation and what has worked less well. From this develop policies/programme to overcome identified labour market issues.
Use pilot studies to test ideas before full implementation.
Promote awareness and use of data, key trends and recommendations by engaging labour market intermediaries, including:
- Job Centres
- career advisers
- app developers
Ensure transparency of data used and methodology.
Establish opportunities to share and build understanding of LMI through user support. This may take the form of:
- peer learning networks and user forums
- FAQs, documents and written guides
- organised workshops, presentations, hack days and training days
Develop data platforms – simple to use web delivery systems providing a range of data, analysis and graphics in one place.
Monitor changes in markets, information requirements and methodologies to ensure LMI is fit for purpose.Update to reflect specific economic shocks such as large firm closures.
Test and continually improve products on the basis of feedback gathered.