Qualification Achievement Rates are one of the most practical indicators of whether apprentices reach the finish line, yet many employers overlook them when selecting providers. Harry Hobbs argues that completion is where training becomes productive capability, calling for clearer, comparable data so provider choice strengthens retention, performance and long-term skills.
The latest statistics from the UK Department for Education (DfE) highlight significant variation between apprenticeship providers on Qualification Achievement Rates (QAR). With rates varying by as much as 82.1 percentage points between providers, the data underlines how important it is for HR and L&D teams to make the right decisions when choosing providers and programmes.
With fewer roles to recruit for and tighter budgets, training investment needs to translate into real capability
At a time when many employers are more cautious about hiring, and ensuring return on investment is more critical than ever, that distinction matters even more. With fewer roles to recruit for and tighter budgets, training investment needs to translate into real capability.
Qualification Achievement Rates remains critical
Successful completion of an apprenticeship should be the desired outcome from the outset for providers, learners and employers. QAR is currently the clearest public indicator available to HR and L&D teams when making workforce and training investment decisions.
In simple terms, QAR shows the proportion of learners expected to complete an apprenticeship who actually do so. This offers internal teams a practical way to assess whether a provider is consistently helping learners through to the end of their programme.
This matters because when learners complete their programme, employers are far more likely to see a tangible return on their investment. Skills are embedded within the business, retention improves, and apprentices who stay on can contribute productively over the long term.
As such, QAR shouldn’t be seen as just an education statistic; it’s a valuable resource for businesses and their hiring teams. For HR and L&D teams, completion is the point at which apprenticeship investment turns into usable capability. It shows how reliably a provider translates training into completed, work-ready capability.
The visibility problem
But despite its value, QAR remains relatively underutilised by employers and isn’t routinely used in apprenticeship recruitment decisions. Data is published by the DfE each year, but it has traditionally been difficult for employers to find, interpret and compare with confidence.
This is because the datasets are extensive, and the terminology can be challenging to navigate. Without prior knowledge of QAR, the process of drawing meaningful comparisons is therefore not straightforward for HR and L&D teams.
This is where the problem lies. HR and L&D teams are tasked with sifting through vast datasets to extrapolate QAR, or risk overlooking it and relying on other signals, like enrolment volumes or headline claims on ROI. However, these signals don’t directly indicate whether a provider is likely to deliver completion.
The risks of overlooking QAR
On the flip side, bypassing QAR can have serious consequences for HR and L&D teams. Poorly informed decisions around which provider to use can leave learners at risk of not completing their programmes and employers with unexpected skills gaps across the business. This can lead to additional recruitment costs, delays in building capability and reduced return on training investment.
This is all the more important at a time when every recruitment decision carries greater weight. Employers are increasingly focused on retention, productivity and long-term skills development, making the reliability of training programmes even more important.
QAR is therefore closely linked to workforce outcomes, including retention, productivity and overall capability. For HR and L&D teams responsible for apprenticeship programmes, choosing the right provider is a decision with clear commercial implications.
What better quality data should look like
QAR should be a meaningful and inherently useful metric for employers, but it needs to be easy to compare across providers. It should not place unnecessary strain on internal teams that are already managing multiple priorities. While DfE data provides a strong foundation, there is an opportunity for the sector to present this information in a way that is more accessible and usable for employers.
While recent developments, including the DfE’s own dashboard, are a positive step forward, employers still need to work through the data to compare provider performance effectively. Improving how QAR is presented does not mean reducing apprenticeship quality to a single measure. However, making this data easier to access and interpret allows employers to apply one of the most useful indicators more consistently in decision-making.
The data already exists and is published each year. The priority now is making QAR more visible and usable, so that employers can make more informed decisions about apprenticeship providers and training investment.
Harry Hobbs is Head of Business Intelligence at Baltic Apprenticeships
