<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/56AF2165-5C7E-4BC7-B0E6-3F205402C578" ns1:id="56AF2165-5C7E-4BC7-B0E6-3F205402C578"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/96A1E966-D548-4FBE-B0F5-95CD47876678" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/895CE9C7-E6EF-4CD0-A569-792AC39270E9" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/895CE9C7-E6EF-4CD0-A569-792AC39270E9" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2017-10-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/3EBAD2A3-BB7B-4570-8D41-F5F6B330A053" ns1:rel="FUND" ns1:start="2017-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">103022</ns2:identifier></ns2:identifiers><ns2:title>Workforce productivity skills diagnostic platform - research and experimental development.</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Forget the productivity ‘puzzle’… Britain faces a productivity crisis. National and firm-level productivity in the UK has worried policy makers and business leaders for decades. But now flat growth, a debt overhang from the 2008 crisis, and post-Brexit uncertainty threaten long-term depression. Productivity-led growth in output and wages is the only way out. Skills are a key driver. Yet training budgets are being cut and investment in novel training technologies has been half-hearted over the long-term. Requirements are still established with old-fashioned training needs analyses and met with manually curated resources. To achieve the required step-change in the productivity of our workforce we must harness technology to personalise training and optimise skills. We propose a data-driven online platform to diagnose skills gaps, make training recommendations and coach learners along personalised paths. The project would conduct research and product development in: - development of a machine learning algorithm to identify relevant training material for individuals; - definition of a portfolio of skills that demonstrably affect organisational productivity, quantifying how those skills contribute. These research components support two key links in the productivity value chain: between skills and productivity; and between worker profile and skills requirements.</ns2:abstractText></ns2:project>