The 2026 Education-Led Growth Report revealed an industry that is becoming more strategic, more measurable, and more connected to business outcomes than ever before.
Education teams are expanding beyond retention into revenue growth. AI adoption has become nearly universal. Programs are measuring impact earlier and connecting learning data to broader business systems.
But perhaps most importantly, the research showed that the teams making the biggest impact aren’t necessarily doing more.
They’re getting more intentional.
Below are five key recommendations from this year’s report—along with practical ways education leaders can start applying them today.
1. Design Programs with Measurement Built In from the Start
One of the clearest findings in the report was the shift toward earlier measurement.
76% of respondents now begin measuring impact immediately or within the first three months of launching an initiative, and far fewer teams report inconsistent measurement practices compared to previous years.
The takeaway isn’t simply “measure faster.” It’s that high-performing teams start with a plan for measurement before a program ever launches.
How to put this into practice
Before launching a new education initiative:
- Define the business outcome you’re trying to influence
- Identify which systems contain the data needed to measure success
- Align stakeholders around what success looks like
- Establish reporting workflows before launch
For example, if your goal is improving product adoption:
- What product behaviors indicate adoption?
- Where does that data live?
- How often will you review it?
- Who owns reporting on progress?
Measurement maturity starts long before reporting dashboards exist. It starts with intentional program design.
2. Prioritize the Audiences and Lifecycle Stages with the Clearest Business Value
The research showed that implementation, product adoption, and retention remain the most common lifecycle stages for education programs.
But one of the biggest shifts year over year was the growth in education tied to customer expansion. This suggests organizations are increasingly viewing education not just as a support function, but as a lever for long-term customer growth.
How to put this into practice
Many education teams try to support every audience and every lifecycle stage equally.
That usually leads to stretched resources and diluted impact.
Instead:
- Identify the moments where education creates the clearest business value
- Focus resources where behavior change matters most
- Prioritize high-impact learner journeys before expanding broadly
For example:
- Where does onboarding friction create churn risk?
- Which customer moments correlate with expansion opportunities?
- Which partner enablement gaps affect revenue performance?
The goal isn’t to create education for every possible scenario, but rather to invest where education can move the business most meaningfully.
3. Use AI Where It Saves Time Fastest
More than 92% of respondents report using AI in their education programs, making AI adoption nearly universal across the industry.
The most common use cases are practical and approachable for any learning organization:
- Written content creation
- Learner support automation
- Planning assistance
How to put this into practice
Look for:
- High-volume tasks
- Repeatable workflows
- Areas creating operational bottlenecks
Some practical starting points:
- Drafting course outlines or learning objectives
- Summarizing long-form content
- Repurposing webinars into smaller assets
- Creating first-pass quiz questions
We break many of these quick wins down in our Ultimate Guide to Generative AI in L&D.
4. Strengthen the Systems Around Your LMS
One of the more interesting findings in this year’s report is how education measurement is evolving.
The LMS remains foundational. But teams increasingly rely on connected systems like:
- CRM platforms
- Support systems
- Customer success tools
- Analytics and visualization platforms
At the same time, integration between systems remains the number one measurement challenge organizations face. Finding a way to connect data across these platforms is critical to proving the business impact of education.
How to put this into practice
Start by mapping where your business outcomes actually live.
For example:
- Product adoption → product analytics or CRM
- Support deflection → support platform
- Retention or expansion → customer success or revenue systems
Then ask:
- Which systems need to connect?
- Where are teams manually combining data today?
- Which integrations would create the clearest visibility into impact?
It’s not always possible to consolidate or replace your tech stack, which means we start with improving the flow of data between systems so education outcomes become easier to prove.
5. Use Outside Expertise Selectively
Over the years, we’ve seen education teams increasingly rely on external vendors for support—and for good reason. The year’s data tells us that the following are most commonly outsourced:
- Pre-built learning content
- Custom content development
- Instructional design
- Learning platform support
That reflects a reality many education teams are facing: demand for content and support is growing faster than most internal teams can scale alone. What the most effective teams do differently is think strategically about where outside expertise creates leverage.
How to put this into practice
Evaluate where your team faces the greatest scaling constraints.
For example:
- Is content production slowing down launches?
- Does your team lack specialized instructional design expertise?
- Are platform integrations or technical administration becoming bottlenecks?
External partners can often help accelerate:
- High-volume content production
- Specialized expertise
- Platform optimization
- Certification development
- Large-scale curriculum redesign
The key is using outside support to extend your team’s capabilities—not replace your strategy.
Where Education Goes from Here
The 2026 Education-Led Growth Report makes one thing clear: education is becoming more deeply connected to how organizations drive growth, improve performance, and support customers and employees at scale. Teams are expanding education into revenue-driving initiatives, adopting AI across everyday workflows, improving how they measure impact, and building more connected learning ecosystems around the LMS.
But the organizations seeing the strongest results are not simply creating more education content or launching more programs. They’re being more intentional about how education is designed, delivered, measured, and aligned to real business outcomes. As education continues to expand across the business, the opportunity is no longer just to scale learning—it’s to build systems and experiences that make learning more relevant, measurable, and effective for the people they serve.
