Everyone was trained. Nothing changed.

Written by Kristi Kivilo, Senior Expert, eGA

Every digital transformation reaches the same moment: The system is built. The process is redesigned. The documentation is created. The training is delivered. And then people carry on working the way they did before. 

You can see it in small things. A new case management system goes live. Everybody is trained. Six months later, half the team still keeps its own spreadsheet because that is where they know their work is safe. 

Nobody in that team was missing knowledge. The training was there. It was good. However, people walked past it. 

We call everything a skills gap 

And then we answer it with training.  

Someone says: our people resist the new system. That is framed as a mindset problem.
What gets ordered is a training explaining what the new system does. That is a knowledge product. Then everyone is surprised that nothing moved.  

This is how most projects start. A partner says: build us a training, we have this problem. 

And the first real work is going back to the beginning and asking what is the problem we are actually solving. Often, training is not the answer – or not the whole answer. 

That conversation is uncomfortable. It slows things down. But it is also what decides whether anything changes.  

Two questions make it simpler 

First, what kind of change is this?  

There are four levels: awareness, knowledge, skills, and mindset. They are not the same job. 

Awareness 

People need to keep hearing that something exists and matters. Awareness fades. People join, priorities shift, and what was announced in March is forgotten by June. 

Awareness is not training. It is communication. 

It is a drumbeat, not a deliverable. 

We are also learning every day. For example, in Moldova, we built a cyber hygiene e-course, and it was genuinely used. Libraries ran sessions with it, we trained the trainers, people came. But the feedback kept saying the same thing. The people who most needed it did not know they needed it. 

So we stopped adding content. We asked well-known local actors and influencers to make short videos showing real cyber hygiene situations. They went viral: more than 500,000 people reached within weeks, and thousands of comments from people telling their own stories. 

The course could never have done that.  

Same topic, different level, a completely different instrument. 

Knowledge 

People need to know what and why. Training can do this well. So can a good reference page, a handbook, or an e-course people return to when they are stuck. AI now often does this better – because it is there at the moment of need.  

But knowledge does not stay true. Systems change. Rules change. Screens change. 

Someone has to keep it alive. That work is almost never budgeted. 

Skills 

People need to be able to do it. That takes practice, feedback, repetition. 

Content alone has never built a skill. The forgetting curve is one of the oldest findings in learning research, and it has held up for more than a century: without practice, most of what someone learns slips away within days. 

A training day without follow-up is not slow progress. It is close to no progress. 

Mindset 

People need to see the situation differently. Information does not change assumptions. Experience does. You cannot argue someone out of an assumption. You can put them in a situation where it no longer holds – and ask what they noticed.  

All four levels have something in common: 

None of them can be done once and left alone.  

Awareness fades. Knowledge expires. Skills decay. Mindset needs experience. 

What is actually stopping the learning?

Three checks for the people expected to work differently: 

• Can they? Do they know how? 

• Do they get the chance? Time, permission, tools, real tasks 

• Do they want to? A reason, a benefit, someone who notices 

If someone knows how and still does not do it, more training will not help. 

In my experience, the first question – can they – is the one least often missing. 

So why do we keep building training? 

Because content is what we can produce and count. Completions are easy to measure. 

Behaviour is not. So we will build another training, report that people liked it, and still hear that “skills are missing.”  

In one productivity tool rollout, 90% of staff said the training was useful – and 70% never opened it. They learned what they needed from colleagues instead.  

What to do on Monday? 

• Ask what people should be doing differently, not what they should know. 
• What kind of change is this: awareness, knowledge, skills or mindset? 
• What is stopping it: can they, do they get the chance, do they want to? 

The instrument changes every time. 

In our project in Moldova, the gap was awareness, so the answer was actors and influencers, not another course. 

For another project, the answer could be different again. Different countries, different levels, different instruments. The same question at the start of all of them: what is the problem we are actually solving? 

The barrier to digital transformation has rarely been the technology. It is not usually knowledge either. 

It is whether people have a reason, a real chance, and somewhere safe to practise. 

That is a design problem. 

Deciding what to design is the whole job.