The Adoption Gap

Why good digital health tools don’t always get used

A new tool gets introduced into practice.

It’s evidence-based. It makes sense.

People are shown how to use it. A few give it a go.

And then, gradually, it fades into the background.

Not because it doesn’t work.

But because it never quite fits into real life.

What we assume

We often assume that if something works, people will use it.

That adoption is simply a matter of awareness, training, or time.

But in practice, it rarely works that way.

It’s something I’ve seen play out more than once — a new system introduced with good intentions, but without fully understanding how it fits into day-to-day practice.

What actually happens

Adoption isn’t a feature of the tool.

It’s a feature of the system around it.

The workflows it lands in. The time available. The priorities already competing for attention.

And the small, often invisible frictions that shape what actually gets used day to day.

I’ve started to think of this as the adoption gap — the space between something working in theory and it being used in real life.

Where things break down

In many cases, the problem isn’t the tool itself.

It’s how — or whether — it fits into real-world practice.

Sometimes it adds a few extra steps to an already full workflow: more clicks, more decisions, a little more time.

Sometimes it isn’t clear when it should be used, or how it fits alongside existing processes.

Sometimes the value is there, but it isn’t immediately visible at the moment decisions are being made.

And often, there is no space for it to become a habit.

No reinforcement. No integration.

Just another well-intentioned tool sitting slightly outside the flow of everyday care.

These gaps often sit somewhere between how something is designed, how it is communicated, and how it is expected to be used in practice.

Why this matters

When something doesn’t get used, it is easy to assume the problem is the tool.

That it needs improving, refining or replacing.

But sometimes the bigger issue sits elsewhere.

It sits in the gap between what works in theory and what fits into real life.

That gap can be easy to overlook, but it quietly shapes whether a tool succeeds, stalls or disappears into the background.

A better question to ask

When a digital health tool isn’t being used, the most useful question may not be:

What’s wrong with the tool?

It may be:

What is getting in the way of people understanding where it fits, why it matters and how to use it within the realities of everyday practice?

Adoption problems often sit in that space between design, communication and real-world behaviour.

And that is where some of the most useful answers can be found.