Training is a control when it changes the next decision

Define the failure training is meant to prevent

A completion rate answers a narrow question: did the intended audience finish the assigned activity? It does not tell you whether someone will recognise a disguised request for a bribe, challenge an unusual invoice or seek advice before sharing personal data.

Training can support prevention and detection by improving judgement and helping people operate a process correctly. To design it as a control, begin with a failure scenario. Identify who encounters the situation, what decision they must make and what could go wrong. Then decide whether a knowledge or skill gap is genuinely part of the cause.

If the underlying problem is an approval system that permits unauthorised payments, a course cannot replace fixing the system. If employees cannot distinguish an ordinary request from a suspicious one, scenario practice may be an important part of the response. These are different problems and should have different actions.

Write the learning objective as an action

“Understand the gifts policy” is difficult to observe. A more useful objective is that an employee can recognise when hospitality requires review, locate the approval route and pause the invitation until a decision is recorded. That objective connects learning to work.

Build scenarios around the audience’s actual responsibilities. A finance reviewer needs different practice from an event organiser. Keep ambiguity where it is realistic: the most useful exercise may be deciding when there is insufficient information to proceed, rather than selecting a memorised definition.

The September 2024 US Department of Justice guidance considers tailored training and evaluation of its effectiveness. Completion alone is therefore a limited reference point when assessing whether a programme works in practice.

Reference: DOJ evaluation guidance (September 2024).

Connect the classroom to the workflow

Before launch, confirm that the process taught in the course exists and is usable. Link directly to the current guidance, identify the advice owner and check that a new employee can find the approval form. A beautifully produced lesson loses credibility if it sends people to an obsolete process.

Time reinforcement around exposure. A reminder before a procurement cycle or hospitality season can help people recall the relevant decision at the right moment. Managers can reinforce the lesson with a short discussion of an anonymised situation, while avoiding pressure to disclose personal experiences publicly.

Record enough to manage the control: audience, version, assigned date, completion, assessment approach and follow-up. Use access restrictions and retention periods appropriate to the information. Learning data should help improve capability, rather than become an indiscriminate employee surveillance tool.

Measure transfer, not only recall

Use an initial scenario to identify where participants struggle, then a different scenario after learning to test whether their reasoning improves. Repeating the exact same question risks measuring memory of an answer. Include options for seeking advice when the facts do not justify a confident decision.

Later, examine a small sample of relevant work. Are requests more complete? Are issues escalated before approval rather than after payment? Do reviewers identify the warning signs discussed in training? Compare the evidence with the original failure scenario.

Do not attribute every improvement or incident to the course. Changes in workload, system controls and management attention may also explain the result. The strongest evaluation combines learning evidence with operational evidence and states the limits of the conclusion. Use those findings to decide whether to reinforce the learning, redesign the process or address a different cause.

Put it into practice

1. Choose one risk and write the desired behaviour in observable terms.
2. Verify that the process and advice route taught are usable.
3. Use a new scenario to test decision-making after training.
4. Review a small sample of real decisions and document the limitations.