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Decisions & Execution

Why Training Is Not Enough: the Five Conditions for Autonomy

By KaperX Editorial Team6 min read

The scenario every organisation knows

A problem appears: incomplete files, customers sent to the wrong place, disputed sales, forgotten controls. The quickest response is training. Participants enjoy it, the end-of-session evaluation is good, and three months later the problem is back.

It was not the training that failed. It was the diagnosis. The problem lay elsewhere: in a rule that prevented the adviser from deciding, a tool that did not show the relevant information, an individual target that rewarded speed rather than quality, or the absence of any regular meeting to keep the new practice alive.

The five conditions

ConditionDefinitionSign that it is missingAppropriate response
KnowledgeThe person knows how to do what is expectedErrors even when they have the time and the informationTraining, on-the-job coaching, practical guides
AuthorityThey are allowed to decide within their remitEscalations, requests for approval, customers passed onWritten decision rights, with thresholds and criteria
InformationThey have the data at the moment of actionManual searches, contradictory answersTools, access, an up-to-date knowledge base
IncentivesWhat is measured and rewarded is what is wantedBehaviour "optimised" for the indicator, not for the customerReview of targets, indicators and variable pay
RoutineA regular meeting keeps the practice aliveA good start, then a return to old habitsA short, fixed routine, such as the KAPER Cadence

These five conditions spell out what the Empower step of the KAPER method means: passing on a capability is not just passing on knowledge.

What research and data say

Incentives are the most frequently neglected condition. As early as 1975, Steven Kerr (Academy of Management Journal) described organisations that reward one behaviour while hoping for the opposite. A sales team paid on volume and asked to sell responsibly is a textbook example.

The link between teams and customers is real but conditional. The review by Hogreve, Iseke and Derfuss (Journal of Service Research, 2022) of the chain linking employees' situation to customer satisfaction concludes that the link is neither automatic nor linear: it depends on the context, the processes and the tools provided.

In Morocco, the World Bank's 2023 Enterprise Survey puts the management practices index at 32 out of 100, against 46 for the Middle East and North Africa region. The index covers concrete practices, such as tracking indicators, setting targets and incentives. In other words, part of the gap lies in management systems, not just in individual skills.

The one-hour diagnosis

Before deciding on training, bring the manager and two or three members of the team together around a real case, and ask five questions in order:

  1. Would they know how to do it correctly if their life depended on it? If not, knowledge is missing.
  2. Are they allowed to take the necessary decision? If not, authority is missing.
  3. Do they have the information when they need it? If not, information is missing.
  4. Is the desired behaviour the one that is measured and rewarded? If not, incentives need reviewing.
  5. Is there a regular moment when you check that the practice is applied? If not, routine is missing.

It is common to find two or three conditions missing at once. The response then combines several actions, and training is only one of them.

When training is essential

Some situations do require training, and sometimes the law demands it. Article 4 of the AI Act, applicable since 2 February 2025 and amended in 2026, requires providers and deployers of AI systems to take measures to support the AI literacy of their staff; a Moroccan company is concerned when the outputs of its systems are used in the European Union. Our guide to training teams in AI explains what it involves.

Even then, training has more effect when it comes with the other conditions: a designated owner for each AI system, clear information on permitted uses and a regular review of incidents. The same logic applies to compliance culture in general.

Measure the effect, not satisfaction

The usual training evaluation measures what participants thought of it. It says nothing about what has changed on the ground. To know whether an initiative has worked, you need to:

  • choose, before starting, an operational indicator linked to the problem (repeat contacts, complete files, cancelled sales, controls on time);
  • record its baseline value;
  • measure it again at an agreed date, usually two to three months later;
  • examine the gaps in the team's routine.

This is the logic of the Reflect step: an initiative that has not changed the indicator is adjusted or stopped, however satisfied participants were.

Your checklist

  • The problem is described from real cases, not from an impression.
  • The five diagnostic questions were asked before deciding on training.
  • Each missing condition has an identified response and an owner.
  • Targets and variable pay have been checked so that they do not contradict the desired behaviour.
  • An operational indicator has been chosen, with its baseline value.
  • A regular routine is planned to keep the new practice alive.
  • A measurement date has been set.

Further reading

Frequently asked questions

Why does successful training often change nothing on the ground?

Because knowledge is only one of the conditions for change. If participants return to an environment where they are not allowed to decide, where they lack information, where targets reward the old behaviour and where no routine keeps the new practice alive, they fall back into their habits within a few weeks.

What are the five conditions for autonomy?

Knowledge (knowing how), authority (being allowed to decide), information (having the data at the moment of action), incentives (being rewarded for the desired behaviour) and routine (a regular meeting that keeps the practice alive). When one is missing, the other four are not enough.

How do you know whether a problem really calls for training?

A simple question helps decide: if the person had to do it to save their life, would they know how? If so, the problem does not lie in knowledge but in one of the four other conditions. Training will change nothing.

Should we stop training?

No. Training remains necessary where knowledge is genuinely lacking, and some training is required by law, such as the AI literacy measures provided for by Article 4 of the AI Act for the organisations concerned. The point is to train at the right time, on the right content, and to act on the other conditions at the same time.

How do you measure the effect of an initiative on teams?

With an operational indicator measured before and after, not participant satisfaction at the end of the session. For example: repeat contact rate, files complete first time, controls carried out on time, cancelled sales.

General information, not legal advice.

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