Learning & Development doesn’t really have a content problem. If anything, there’s usually too much of it.

The real issue is relevance.

For years, teams have been rewarded for producing more. More courses, more completions, more activity. On paper, that looks like progress. But when you step back, it doesn’t always translate into better performance. And in many organisations, learning still sits alongside work instead of actually supporting it.

At the same time, you can see a different shift starting to happen.

Some teams are changing how they work. Not in a big, dramatic way, but in small, deliberate moves. They’re moving away from being content factories and focusing more on building capability. Less emphasis on courses. More emphasis on performance. Less about tracking learning. More about supporting the work itself.

If you look across our most-read Totara Thursdays articles, that shift becomes easier to see. Not as a feature list, but as a set of practical capabilities that show what high-performing L&D actually looks like and how Totara enables the shift day to day.  

We’ve grouped these into four core pillars.

Performance-Driven Learning

If learning isn’t improving performance, it quickly becomes background noise.

That’s the shift high-performing L&D teams have already made. They’ve moved past completion metrics and started asking a more grounded question. Can people actually do their jobs better, faster, and more consistently because of this?

Once you start thinking like that, things change quite quickly. Onboarding stops being a checklist you work through. Knowledge isn’t something you deliver once and move on from. It’s something you design to show up over time, in the moments where people actually need it.

Start here:

What these articles show, in practical terms, is what happens when learning is built around outcomes. Onboarding starts to get people contributing sooner. Learning ecosystems reinforce behaviour over time. And knowledge shows up in the flow of work, instead of being something people forget a week later.

Enabling the Modern Workforce

If learning can’t move with your workforce, it tends to slow things down.

It sounds obvious, but it’s still where many strategies fall short.

People don’t really have the space to step away from work and sit through structured learning. They need support in the moment. On the job, on mobile, and often while trying to get something done.

So this isn’t just a delivery decision. It’s a design constraint that affects everything else.

Start here:

In practice, the pattern is quite consistent. Learning that sits outside of work gets ignored. Learning that fits into work gets used. And over time, that gap becomes very noticeable.

AI as an Enabler, Not a Replacement

AI is everywhere in L&D conversations at the moment. And in many cases, it’s still being figured out.

There’s often an expectation that it will automate everything. But that’s not really where the value is showing up.

High-performing teams tend to take a more grounded approach. They’re not asking what AI can replace. They’re looking at where it can remove friction and make things easier.

Start here:

Used well, AI helps teams move faster. It supports content creation, improves how content is found, and makes personalisation more achievable at scale. Used poorly, it just creates more content that no one uses, only faster.

Strategic Context & Platform Thinking

Most L&D challenges don’t actually start with the tool.

They usually come from a mismatch between what the organisation needs and what the platform is set up to support.

Part of the challenge is that the LMS market didn’t evolve in a straight line. Different organisations are solving for different problems at the same time, which makes decisions more complex than they seem on the surface.

Start here:

The teams that tend to get this right don’t chase features. They look for platforms that can grow with them. Something they can build on, rather than something they’ll need to replace too soon.

What This Tells Us About Learning Today

When you step back and look across all of this, a few patterns become hard to ignore.

  • Learning that sits outside of work is increasingly ignored
  • Platforms that can’t adapt tend to get outgrown
  • AI without intent leads to faster inefficiency
  • Activity metrics are slowly being replaced by performance metrics

Put more simply, the question is changing. It’s no longer “What did people complete?” It’s “What actually changed because they learned?”

Where to Start

If you’re rethinking your approach, it usually helps to start with the constraint that’s most visible right now.

  • Time-to-productivity too slow? Start with onboarding
  • Workforce hard to reach? Start with mobile
  • Content production too heavy? Start with AI
  • Strategy unclear? Start with the broader LMS landscape

Or work through the full set. Each piece builds on the next and adds a bit more clarity.

High-performing L&D isn’t really about doing more. It’s about doing the right things well enough that they actually make a difference.