August 2, 2026 · Research · 7 min read
There is no credible universal percentage of corporate training that “fails.” Training programmes differ too much in purpose, design, participants, workplace context and measurement for one failure rate to describe them all.
What the evidence does show is a persistent transfer problem: learning that happens during a course does not automatically become sustained behaviour at work. The difference matters. A participant can understand a concept, pass a knowledge check and still return to a workplace where there is no opportunity, support or incentive to use the new skill.
59 in 100
workers are expected to need training by 2030, according to the World Economic Forum’s Future of Jobs Report 2025.
85%
of employers surveyed by the World Economic Forum plan to prioritise workforce upskilling.
8%
of respondents in CIPD’s Learning at Work research were prioritising learning transfer to the workplace.
32%
of variance in training transfer was accounted for by a meta-analytic model of peer, supervisor and organisational support.
Sources: World Economic Forum, Future of Jobs Report 2025; CIPD, How L&D can create value; Hughes et al., The Role of Work Environment in Training Sustainment. These figures describe different studies and populations and should not be combined into a single training-failure rate.
A single failure percentage sounds useful because it turns a complex problem into a simple benchmark. It is also misleading. Workplace learning can be evaluated at several levels: participation, learning, transfer to the job, sustained behaviour and business results. A programme can succeed at one level and underperform at another.
For example, people may complete a course and demonstrate new knowledge immediately afterwards. That tells us something about learning. It does not tell us whether they used the skill three months later, whether their manager supported the new behaviour, or whether the organisation removed barriers that made the old behaviour easier.
A better question is: where is the chain from learning to performance breaking?
Training transfer is the extent to which knowledge, skills and attitudes learned in training are applied and sustained in the workplace. Decades of research have treated transfer as a central problem in workplace learning.
A major meta-analytic review of 89 empirical studies found that transfer is related to trainee characteristics, motivation, training design and the work environment. A later meta-analysis focused on the work environment found moderate positive relationships between transfer and peer, supervisor and organisational support. In that analysis, the combined support model accounted for 32% of variance in transfer, with peer support contributing strongly.
The practical implication is straightforward: course design matters, but the environment people return to matters too.
Sources: Blume et al., Transfer of Training: A Meta-Analytic Review; Hughes et al., The Role of Work Environment in Training Sustainment: A Meta-Analysis.
Training is often selected because a topic sounds useful, because a manager asks for a course, or because budget is available. That reverses the logic. The first step should be to define the performance problem and test whether a capability gap is actually causing it.
If the real cause is a broken process, unclear accountability, inadequate tools, workload, incentives or poor management, training may improve knowledge without solving the business problem.
Broad objectives such as “understand leadership” or “improve communication” are difficult to transfer because they do not specify what a participant should do differently. Transfer becomes easier to design and measure when the expected behaviour is observable: conduct a structured feedback conversation, use a defined escalation process, analyse a variance, or apply a negotiation framework in a live case.
Research on transfer repeatedly identifies the work environment as important. Employees need opportunities to use the skill, feedback when they try it, and signals from supervisors and peers that the new behaviour is expected.
A participant can return from excellent training and still fail to transfer it if a manager says there is no time to practise, if old incentives reward the previous behaviour, or if peers discourage the change.
Many programmes end when the workshop closes or the LMS marks a module complete. Transfer usually needs activity after formal instruction: practice, manager conversations, job assignments, reminders, coaching, peer support or structured follow-up.
This does not mean every programme needs months of additional content. It means the transfer plan should exist before delivery starts.
A positive reaction survey can tell you whether people found a programme relevant, clear or engaging. It cannot by itself demonstrate behaviour change or business impact.
CIPD has highlighted the gap between L&D activity and transfer. Its Learning at Work findings, discussed in a 2024 analysis, showed that only 8% of respondents were prioritising learning transfer to the workplace and only 50% reported having a process to assess learning impact.
That measurement gap makes weak programmes hard to identify and strong programmes hard to defend.
If the goal is knowledge, measure knowledge. If the goal is behaviour, observe behaviour. If the goal is fewer errors, faster processing, better conversion or lower risk, establish the relevant baseline and examine the business metric while accounting for other changes that may influence it.
The transfer problem matters more as skill requirements change faster. The World Economic Forum’s Future of Jobs Report 2025 says 39% of workers’ existing skill sets are expected to change or become outdated during 2025 to 2030. If the global workforce were represented by 100 people, 59 would be expected to need training by 2030. Eighty-five percent of surveyed employers plan to prioritise workforce upskilling.
That creates pressure to train at scale, but it also raises the cost of weak diagnosis and weak transfer. More training activity is not automatically the answer. Organisations need a stronger chain from business need to learning design to workplace application to evidence of impact.
Do not start with a generic failure benchmark. Start with the programme’s intended result.
MATSH’s Train the Trainer Course develops practical facilitation and learning-design capability. For teams that need to evaluate whether learning produced meaningful change, the Measuring Training Impact and ROI Course focuses on behaviour, results, credible attribution and evaluation design.
There is no defensible universal percentage. Different studies use different definitions of learning, transfer, sustainment and business impact. A more useful approach is to define the result a programme is meant to produce and measure where the path from learning to performance breaks.
Retention is only one part of the issue. Transfer also depends on motivation, opportunities to perform, training design and support from peers, supervisors and the organisation. A person can remember what they learned and still be unable to use it at work.
Managers can clarify expected behaviours, create opportunities for early application, discuss learning after the programme, provide feedback and remove barriers that prevent people from using new skills.
No. The evaluation method should match the decision being made and the importance of the programme. Some programmes need evidence of learning or behaviour change. High-cost or strategically important programmes may justify deeper business-impact or ROI analysis.
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