Back to basics: why getting the foundations right still matters in digital pharma

The pressure to innovate is genuine. New tools arrive faster than organisations can embed the last ones. Financial year targets don't wait for transformation programmes to bed in. And there's a cultural pull towards the new; it's more exciting to talk about AI orchestration than to fix a navigation structure that's been confusing users for two years.

But in pharma, the cost of skipping foundations is higher than in most sectors. MLR review cycles mean content changes are expensive and slow. Channel restrictions shape how you can engage HCPs. Compliance requirements add friction to every layer of the stack. 

When the underlying systems aren't working well, those constraints compound. Teams spend more time managing workarounds than improving experiences.

The question isn't whether to innovate. It's whether the ground underneath is solid enough to build on.

Most life sciences organisations would say they are customer-centric. Fewer can confidently describe what that looks like in practice today.

The way HCPs and patients find, evaluate and use information has shifted. AI-powered search is changing how people arrive at content. On-demand formats are raising expectations for relevance and speed. The HCP who once waited for a rep visit now expects to find credible, specific answers on their own terms.

It's worth asking not just who your audiences are, but where your understanding of them has drifted. Which segments are you assuming you know well, but haven't properly revisited in two or three years? Where are the points of friction you've stopped noticing because they've always been there?

That kind of honest audit, focused on the journeys that actually matter rather than every possible touchpoint, is often where the most valuable clarity comes from.

Personalisation is usually framed as a capability question. Micro-segmentation. Real-time decisioning. AI-driven orchestration. These capabilities have a role to play, but they're frequently implemented before the thinking underneath them is clear.

If your core audience segments aren't well defined, personalisation produces different versions of the same message rather than genuinely relevant experiences. If your content isn't structured to support variation, the technology is working harder than it needs to for limited return.

A more effective sequence is to define a small number of meaningful segments, understand what genuinely differs between them in terms of need and context, and then decide how those differences should show up in journeys and content.

From there, technology can scale what's working. But it shouldn't be doing the thinking that belongs earlier in the process.

It's easy to focus on what's new. But in many cases, the biggest engagement gains come from improving what already exists.

Basic usability issues remain common across pharma digital properties. Navigation that doesn't reflect how users think. Journeys that require too many steps. Content that's hard to scan under time pressure, which for a specialist reviewing information between appointments is almost always the case.

Accessibility is another area that tends to be treated as a compliance checkbox rather than part of experience design. For many patients and some HCPs, it directly affects whether they can engage at all.

These aren't advanced problems. But they have a direct impact on trust. If an HCP can't quickly find what they need, or a patient struggles to interpret what's in front of them, a sophisticated personalisation layer sitting behind the experience doesn't compensate.

Omnichannel is often discussed in terms of channel coverage: email, web, portals, rep engagement, events. The pressure to maintain presence across all of them simultaneously is significant.

But channel coverage isn't the same as a connected experience. The real test is whether interactions feel coherent from the customer's perspective, whether each touchpoint builds on the last, or whether it feels like starting again.

Disconnected experiences are usually a symptom of internal structure. Different teams, different systems, different priorities pulling in slightly different directions. The fix rarely starts with new technology. It usually starts with agreeing on a smaller number of priority journeys and designing them end-to-end, which requires the right people to be aligned around the same definition of what good looks like.

A focused workshop with cross-functional stakeholders can move that conversation further than months of asynchronous planning. Not because workshops are magic, but because the alignment problem is often one of people never quite being in the same room at the same time.

The building blocks of good digital delivery, design systems, modular content and well-integrated martech, come up repeatedly in this conversation for good reason. They make everything else easier. A design system reduces rework and creates consistency. Modular content allows teams to adapt without starting from scratch, which is particularly valuable given MLR constraints. A well-integrated stack lets data flow and experiences connect.

But these only deliver value when they're properly embedded and sequenced correctly. It's common to see organisations invest in all three simultaneously and fully operationalise none of them. The tools exist, but adoption is inconsistent. Governance is unclear. Teams fall back into familiar ways of working.

The organisations that make the most progress tend to pick one foundation, get it genuinely working, and build from there, rather than running five improvement programmes in parallel and wondering why none of them land.

Going back to basics doesn't mean starting over. It means being honest about where things aren't working as well as they could, and being deliberate about the order in which you address them.

In most cases, the foundations are already partially there. They need to be clarified, connected and used more consistently, not rebuilt from scratch.

As customer expectations continue to shift and the technology landscape keeps moving, adding complexity without fixing what sits underneath will only make delivery harder. The teams that build something durable will be the ones who resist the pull to skip ahead, take the time to get the fundamentals right, and then build with intention from there.