The Adoption Gap: A framework

There is a pattern in scientific software that almost no one talks about.

A vendor wins a new customer. Onboarding goes well. The scientists start using the platform. And then, somewhere between go-live and renewal, something quietly goes wrong, and by the time it’s noticed, it’s often too late to fix.

There were no obvious complaints or red flags. The customer's silence was mistaken for satisfaction.

This is the Adoption Gap.

The gap has two facets

The Adoption Gap is not a single failure mode. It opens in two distinct ways, driven by two different causes.

The first is the Technical Adoption Gap. This is the space between how software works and how scientists need or want to work. The tool is technically functional, but doesn't fit the way the scientists actually work. Scientists find workarounds rather than reporting friction.

The second is the Commercial Adoption Gap. This is the space between acquiring a customer and building a trusted relationship with them. It opens when vendors mistake silence for satisfaction, and the value the software is delivering never gets connected back to the software itself.

Both gaps are common. Both are costly. And both are preventable.

What they look like in practice

A global biopharmaceutical company integrated a scientific software platform with its internal database. The integration was designed and scoped by the IT team. Nobody asked the scientists how they actually worked.

When it was rolled out, the scientists hated it. The workflow made no sense to them. Adoption stalled, and the licence was cancelled mid-term.

The software worked. The technology was sound and should have delivered what the scientists needed. But the gap between how the platform was implemented and how scientists needed to use it made none of that matter.

That is the Technical Adoption Gap.

A different example. This time, another global pharmaceutical company, which was a long-standing customer. There were champions at every site and full classrooms at every training session. The software was so well respected that the vendor was invited to participate in their internal science conference, the kind of access most vendors never get.

This was a gold-standard, healthy account.

Over the following years, usage gradually declined. The users weren’t complaining, but there was a noticeable contraction: fewer attendees at the training sessions, fewer sites engaged, and a narrower group of active users. An internally developed platform was launched, and the scientists were directed to use it. Floating licences replaced site licences, adding friction to access where previously there had been none.

But underneath those external factors was something the vendor had more control over: the commercial relationship had fragmented. Coordination that had once been unified now ran across three regions. The people with the deepest relationships with the champions had moved on or become stretched. Proactive outreach slowed. And so the account drifted.

When the political winds shifted and an opportunity opened to expand again, the relationship wasn’t robust enough to move quickly. Ultimately, the account was cancelled in favour of a competitor's solution.

The software hadn’t failed. The relationship had.

That is an example of the Commercial Adoption Gap.

A five-stage model of adoption

Understanding where each gap opens requires a clear picture of how software adoption actually unfolds in scientific organisations. There are five stages:

Alignment: before deployment begins, the vendor and the customer establish their shared success criteria and map the stakeholders who need to be involved.

Onboarding: users are set up, trained, and able to use the platform. Technical onboarding is completed.

Usage: scientists are actively using the software in their day-to-day work. This is where adoption either takes root or quietly begins to fail.

Value Realisation: customers can see and articulate the difference the software is making. Value isn’t just delivered; it’s visible.

Advocacy: users become genuine advocates, internally and externally. This generates reference customers, case studies, and word-of-mouth recommendations.

The Technical Adoption Gap tends to open early, in Alignment and Onboarding, when workflow understanding is absent from implementation decisions. The Commercial Adoption Gap opens later, often in the Usage and Value Realisation stages, when the relationship loses momentum, and nobody is watching the signals.

By the time either gap shows up in a renewal conversation, it has often been growing for months.

Why the adoption gap stays hidden

Both gaps share the same concealment mechanism: no news.

Scientists don’t complain about friction in their workflow. They find it easier to work around it or revert to using their prior tools. Customers don’t announce that the relationship is drifting. Instead, they go quiet. Vendors in both cases interpret the absence of problems as evidence of success.

The signals are there if you know where to look: implementation decisions made without input from the scientists, login patterns that decrease over time, champions who stop engaging, quarterly business reviews that nobody chases. Each one is a data point. Together, they create a picture.

What it costs

Churn is the visible cost. But the invisible cost is larger: customers who stay but never advocate. Accounts that renew on inertia rather than conviction and don’t grow. Commercial relationships that never produce the reference customers, case studies, or peer recommendations that drive growth in scientific markets.

Scientific software markets are small and well-networked. Reputation travels fast. The Adoption Gap doesn’t just cost you the accounts it closes. It costs you the ones that never open.

Closing the Adoption Gap, in both its forms, is what Mansley Scientific was founded to do.