INSIGHTS TO INFORM YOUR LEARNING JOURNEY

If skills data is becoming the new currency of learning analytics, the next challenge is measurement. Accurately assessing workforce capability across thousands of employees is complex. Leading organisations are addressing this by combining skills taxonomies, multiple evidence sources and AI-driven insights. This blog explores practical approaches organisations use to measure skills at scale and how Learning and Development teams can design systems that support this shift. St

For years, the most common way to measure learning success has been course completion. If employees finished the training, the programme was considered delivered. Increasingly, however, organisations are discovering that completion tells them very little about capability. Large organisations such as HSBC, State Street and Conagra are beginning to shift toward measuring skills instead. The goal is not simply to track learning activity, but to understand whether workforce capab

If learning is to support performance, it must show up at the right moment. Designing decision aids and contextual prompts requires a shift in instructional design services from content creation to workflow integration. This blog outlines practical steps for building trigger-based supports that improve performance without overwhelming employees. Step 1: Identify moments of friction Start by mapping real work processes. Ask: Where do mistakes occur? Where do employees hesitate

Most workplace errors and performance issues don’t happen because employees lack training. They happen in specific moments of hesitation, pressure or uncertainty. Traditional courses prepare people in advance, but friction occurs in context. This blog explores why modern digital learning solutions must move beyond courses and start supporting real-time decisions through embedded aids and contextual prompts. Where performance actually breaks down Imagine a manager about to hav

As digital learning production accelerates, the differentiator is no longer how much content an organisation can create. It is how deliberately that content is curated. Learning curation involves governance, rationalisation and clear decision-making about what belongs in the ecosystem. This blog explores why curation is becoming a strategic capability for L&D teams. Creation is easy. Judgement is harder Producing learning content has become significantly easier. Templates str

Digital learning production is accelerating. AI has made content creation faster, cheaper and more scalable than ever before. At the same time, trend-driven programmes and mandatory modules continue to accumulate. What is rarely discussed is content rationalisation, sunsetting legacy modules, or governing learning sprawl. This blog explores the hidden cost of uncurated growth and why abundance without oversight undermines learning impact. We are in a production boom There has

If managers are the strongest influence on learning transfer, L&D must design with them in mind. This means moving beyond delivering courses and towards creating structured reinforcement that managers can realistically use. This blog explores practical ways to equip managers to support learning application without overwhelming them. Stop treating managers as bystanders Many programmes assume that managers will naturally reinforce learning. In reality, most managers are busy,

Most organisations don’t have a learning problem. They have a transfer problem. Research consistently shows that what happens after a course ends, especially how managers respond, is the strongest predictor of whether learning is applied. This blog explores the science behind learning transfer and why manager behaviour quietly determines whether skills stick or fade. “That’s not how we do things here” Imagine this. An employee completes a leadership programme. It might be fac

High-impact learning design starts with a simple question: does this outcome require protected attention, or support at the point of need? Designing learning in the flow of work is not about replacing formal training. It is about making deliberate choices about where learning sits in relation to work, and designing accordingly. Learning design starts with the environment Different learning outcomes need different attention conditions. Behaviour change, mindset shifts and inte

Formal training is not broken. In many cases, especially for behaviour-led learning, it remains one of the most effective tools L&D has. The problem arises when learning designed for protected attention is delivered into environments that cannot provide it. This blog explores why course-centric digital learning is increasingly misaligned with the flow of work, and why the issue is less about format and more about attention conditions. Why attention conditions matter Some of t

If cognitive overload is breaking digital learning, the response isn’t to strip learning back to the bare minimum. It’s to design with greater restraint and intention. This blog explores how digital learning can be designed to respect cognitive limits, improve retention and build trust, without sacrificing rigour or relevance. Designing for limited working memory The starting point for better design is accepting that working memory is limited. Learners can only process a smal

Many digital learning programmes are technically sound, well-produced and full of good intentions. Yet learners are increasingly tired, disengaged and struggling to retain what they’ve completed. One of the clearest explanations for this gap is cognitive load. This blog explores what cognitive load actually is, why digital learning has become cognitively expensive, and what that is quietly costing organisations. What we mean by cognitive load Cognitive load is a simple idea.

As attention becomes harder to earn, trust becomes essential. Learners increasingly decide whether to engage with learning based on a simple judgement: is this worth my time? This blog explores how trust is built, how it is lost, and how digital learning can be designed to feel credible, relevant and worth returning to. One of the most underused levers in this shift is curation. Trust is now the deciding factor Learners make rapid, often unspoken judgements about learning. Th

Digital learning has shifted from something scarce to something constant. Over time, volume has replaced intention, and attention has become collateral damage. This blog explores how overload is quietly undermining digital learning effectiveness, and why more content is no longer translating into more capability. From scarcity to overload There was a time when digital learning was something people had to seek out. Content was limited, access was controlled, and learning momen

Simplifying a learning ecosystem can feel risky. Platforms have owners, content has history, and nothing exists in isolation. But as learning ecosystems grow, the cost of complexity often outweighs the perceived safety of leaving everything in place. This blog explores how L&D teams are starting to simplify their learning architectures in deliberate, low-risk ways, without undermining trust or capability. Simplification is a design challenge, not a clean-up exercise When peop

Modern learning ecosystems are bigger than ever. More platforms, more content, more integrations. But size has become part of the problem. In many organisations, learning ecosystems are now so complex that they are harder to navigate, harder to maintain and harder to trust. This blog explores how that complexity builds up, why it’s so common, and what it costs both learners and L&D teams. Learning ecosystems rarely grow by design Very few learning ecosystems are intentionally

If digital learning is going to work in 2026, it has to earn attention and rebuild trust. This isn’t about adding more content or adopting the latest technology. It’s about making deliberate design choices that respect people’s time, intelligence and real working context. This blog explores what high-impact digital learning is starting to look like, based on what we’re seeing resonate with learners right now. A shift in how learning teams are thinking Across conversations wit

Digital learning hasn’t failed, but in many organisations, it is quietly losing people’s attention and trust. This isn’t because employees don’t care about learning. It’s because the way learning shows up in their working lives has become harder to engage with, harder to believe in, and harder to prioritise. This blog explores what sits behind digital learning fatigue and why so many learners are switching off without ever saying so explicitly. Digital learning doesn’t fail l

As familiar digital learning trends continue into 2026, new patterns are starting to emerge alongside them. These aren’t fully formed yet, but they’re showing up more often in conversations, pilots and early-stage projects. In this blog, we explore the learning trends that look set to shape the next phase of L&D, based on what we’re beginning to see accelerate in practice. Looking forward feels different to looking back When we look back at learning trends, it’s usually clear

As we move into 2026, many of the digital learning trends that gained momentum in 2025 haven’t disappeared. In this blog, we reflect on the trends that we’re continuing to see in real projects and conversations with L&D teams. Have you ever noticed how learning trends rarely arrive all at once? They don’t usually show up with a clean start date. Instead, they creep in quietly. A pilot here. A workaround there. A conversation that keeps coming up in meetings. By the time somet