Strategy

What we’re seeing across 100+ training programs in 2026

7 minread · Instructional Design 360

In this article

We’ve delivered over 100 learning programs across 10 industries. In the past 12 months, we’ve noticed five patterns showing up in nearly every engagement — regardless of whether the client is in healthcare, financial services, manufacturing, or tech. These aren’t predictions. They’re things we’re seeing right now, in active projects, with real organizations.

The training request is almost never the real problem

This has always been true, but it’s getting more pronounced. A client comes to us and says “we need compliance training.” We run the discovery phase and find out the real problem is something else entirely. Their onboarding doesn’t cover compliance context. Their LMS buries the content three clicks deep. And their managers aren’t reinforcing the training on the job. The compliance content itself is fine. Everything around it is broken.

In roughly 70% of our engagements this year, the needs analysis changed the project scope significantly. Not because clients don’t know their business — they do. But because the symptoms of a training problem and the root cause of a training problem are rarely the same thing.

What this means for you: if you’re about to invest in new training content, spend three weeks on discovery first. It’s the cheapest insurance against building the wrong thing.

Completion rates are finally losing their grip as the primary metric

For years, the first question any stakeholder asked about training was “what’s the completion rate?” It’s still asked, but we’re seeing a meaningful shift. More clients are coming to us with outcome metrics already defined before the project kicks off — time-to-productivity, error rates, assessment pass rates, incident frequency, customer satisfaction scores.

This shift changes how we design. When the success metric is “90% completion,” you optimize for short modules and easy navigation. When the success metric is “30% reduction in onboarding time,” you optimize for scenario-based practice and milestone assessments that verify readiness. The training looks completely different because the target is different.

The organizations driving this shift tend to have L&D leaders who report to operations or finance rather than HR. They speak in business outcomes because that’s the language their leadership expects. If you’re still reporting completion rates to your board, here’s how to connect training to business metrics.

AI is useful in production but overhyped in delivery

We use AI in every engagement now. It accelerates storyboard drafting, generates script variations, produces multilingual voiceover at a fraction of traditional studio cost, and helps us build assessment question banks faster. Our production speed has increased meaningfully because of it.

But here’s what we’re not seeing: AI replacing the instructional design decisions that make training effective. Which scenarios to build. How to sequence content for progressive complexity. What assessment strategy actually measures competency versus recall. Where to use branching versus linear flow. These are judgment calls that require understanding the learner, the business context, and the performance gap — and no AI tool we’ve tested makes those calls reliably.

The organizations getting the most value from AI in training are using it as a production accelerator, not a design substitute. They’re saving 20–30% on development timelines without sacrificing design quality. The ones trying to use AI to replace the design process are producing content faster and wondering why it doesn’t move the needle.

Our position hasn’t changed: we use AI where it improves outcomes, and we don’t where it doesn’t.

The LMS is becoming the bottleneck, not the content

Two years ago, most of our engagements were content problems — outdated modules, low engagement, generic off-the-shelf courses that weren’t moving performance. That’s still true for some clients, but increasingly the content is fine and the platform is the problem.

We’re seeing well-designed training programs fail because the LMS buries them in a confusing catalog. We’re seeing strong assessment data go unused because the reporting dashboards weren’t configured to surface it. We’re seeing mobile-responsive content that learners can’t access because the LMS login flow doesn’t work on phones.

This is why we expanded our LMS consulting practice — because building great content and deploying it into a broken platform is like writing a bestseller and shelving it in a locked closet. The organizations getting the best training outcomes are the ones that treat the platform and the content as one system, not two separate purchases.

If this sounds familiar, start with 5 signs your LMS is failing.

The organizations investing in training are pulling ahead — fast

This is the pattern that’s hardest to quantify but most visible across our client base. The organizations that committed to structured, measured training programs 12 to 18 months ago are now operating at a noticeably different level than their peers.

One SaaS company that overhauled onboarding is now ramping new hires in 61 days instead of 90 and retaining 18% more of them past the first year. A healthcare network that redesigned compliance training passed their audit with a single minor finding after years of major citations. A global manufacturer that built simulation-based CRM training saw support escalations drop 22% in one quarter.

These aren’t outliers. They’re the predictable result of treating training as a performance system rather than a content library. The gap between organizations that invest in structured learning and those that don’t isn’t closing. It’s widening.

What we’d tell an L&D leader starting a new initiative today

Spend the first three weeks on discovery, not design. Define your success metric in business terms before you write a single learning objective. Build scenario-based practice into every program where judgment matters. Fix your LMS experience before you build new content for it. And measure what happens 60 days after launch, not just on completion day.

None of this is groundbreaking. It’s disciplined. And discipline is what separates the training programs that produce results from the ones that produce completion certificates.

If you’re planning a training initiative and want to talk through what we’re seeing in your industry specifically, start a conversation. Thirty minutes, no pitch — just a practical discussion about what’s working.

Technology
Growth-stage SaaS company · 200+ employees

90→61

Days to productivity

Healthcare
Regional healthcare network · 500+ employees

45→82%

Completion rate

Manufacturing
ASBECO · Macrovey · Imperium Tech · 200–500 employees · Nationwide (USA)

16→11 wks

Field deployment readiness

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