August 2, 2026 · Research · 6 min read
Workplace learning does not disappear according to one universal timetable. There is no defensible rule that employees forget 50% of training after one hour, 70% after one day, or 90% after one week.
Those numbers are often attributed to Hermann Ebbinghaus, but his original experiments involved his own memory for nonsense syllables in the nineteenth century. They were important for establishing that memory weakens over time, but they do not provide a fixed retention percentage for modern workplace training.
The useful lesson from Ebbinghaus is not a universal percentage. It is that retention changes over time and is strongly affected by how material is learned, revisited and used.
Modern research supports two practical ideas particularly well:
A large quantitative review of distributed practice examined 839 assessments across 317 experiments and found that the spacing interval associated with best retention depends on how long the learner needs to retain the material.
Source: Cepeda et al., distributed practice review and quantitative synthesis.
The relevance of spacing is not limited to laboratory studies. A real-world analysis of workplace training data from 10,514 people found that the optimal spacing between retrieval events increased as the desired retention interval increased.
The study is important because it used naturally occurring workplace-learning data rather than assuming that laboratory forgetting percentages can simply be transferred to employees.
Source: Kang et al., The spacing effect stands up to big data.
There is no single scientifically valid answer.
Retention after 30 days depends on variables such as:
That makes statements such as “employees retain only 8% to 12% after 30 days” misleading unless they refer to a specific study, population, learning task and test.
A workshop can create useful understanding and practice, but a single event should not be expected to carry an entire behaviour-change strategy.
Learning is more likely to survive when organisations deliberately create opportunities to retrieve, practise and apply the material after formal instruction. Research on learning and memory has repeatedly shown that instructional decisions about spacing, retrieval and feedback can materially affect later retention.
Source: Pashler et al., Enhancing learning and retarding forgetting.
Completion rates tell you whether people attended. They do not tell you whether knowledge survived or whether behaviour changed.
For important training, consider measuring:
A reinforcement schedule should reflect how long the knowledge or skill needs to remain available. There is no scientifically fixed “day 1, day 7, day 30” formula that fits every topic, but a practical sequence can deliberately revisit learning over increasing intervals.
| Point in time | Useful reinforcement | Purpose |
|---|---|---|
| End of training | Retrieval questions, demonstration or scenario | Check whether the learner can produce the knowledge without prompts |
| First few days | Short scenario, quiz or real-work task | Interrupt early forgetting and expose misunderstanding |
| One to two weeks | Applied task with feedback | Connect the learning to workplace performance |
| Several weeks later | Delayed retrieval or observed practice | Test whether learning remains accessible |
| Longer term | Periodic use in real work, refreshers where risk justifies them | Maintain capability over the period it is actually needed |
Remembering a policy rule and performing a difficult conversation are different learning problems. Knowledge can often be checked with retrieval questions and scenarios. Skills usually require practice, observation and feedback. Complex judgement may require repeated exposure to varied situations rather than memorising one “correct” response.
Assume a customer-service team learns a new escalation procedure. Instead of sending the slides again after 30 days, the organisation could:
For the wider question of whether learning time translates into performance, see Training Time vs Performance.
Not every piece of training content deserves the same reinforcement effort. Start by identifying what learners must recall without assistance, what can be supported by a job aid and what requires repeated practice because an incorrect decision carries meaningful risk.
Critical emergency actions, safety decisions or high-risk compliance judgement may justify repeated retrieval and scenario practice. Reference information that changes frequently may be better supported through an accessible tool than memorised. This distinction reduces unnecessary refresher activity while concentrating practice where forgetting matters.
When performance deteriorates after training, first determine what actually failed. The learner may not remember the information, may remember it but lack fluency, may understand it but face a process barrier, or may be receiving conflicting signals from managers and systems.
Use delayed questions, observed tasks, scenario decisions and manager feedback to distinguish these problems. If knowledge is missing, retrieval practice may help. If the skill is weak, add guided practice. If the workplace blocks use of the skill, redesigning the process or management support may matter more than another learning event.
Reinforcement can be built into normal work rather than treated as a separate training activity. Team reviews, supervisor observation, checklists, peer discussion, quality audits and real-work assignments can all create retrieval and practice. Integrating reinforcement into the work system reduces reliance on periodic refresher courses and makes learning easier to sustain.
The forgetting curve is useful when it reminds organisations that learning needs reinforcement. It becomes unhelpful when it is turned into a universal set of percentages that the evidence does not support.
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