Unlocking Learning Potential: Totara Learn, Engage, and Perform Features Explained

Alex (Host):

Hello, and welcome back to the Learning Summit Podcast! I’m Alex, and today’s episode is all about one of the most flexible, powerful learning platforms out there: Totara LMS.

Joining me is Sean Gilligan, founder of Webanywhere and an expert in learning technology solutions. Sean, welcome back!

Sean Gilligan:

Thanks, Alex. Always great to chat with you, and I’m excited to dive into Totara today. There’s so much happening with the platform—especially with the upcoming Totara 19 release.

Alex:

We’re going to unpack a lot here, but let’s start at the top. Sean, Totara offers three core products: Totara Learn, Totara Engage, and Totara Perform. What are they, and how do they work together?

Sean:

Good question, Alex. Totara is essentially a suite of tools built to manage learning, collaboration, and performance within organizations.

Totara Learn is the LMS side of things—focused on delivering formal training programs like onboarding, compliance training, and professional development.

Totara Engage takes things further by enabling social learning and collaboration—it’s all about peer-to-peer knowledge sharing, content curation, and driving engagement outside of traditional courses.

Totara Perform focuses on performance management, bringing goal-setting, competency tracking, appraisals, and continuous feedback into one platform.

Together, these tools cover everything from structured learning to informal collaboration and real-time performance tracking.

Alex:

So it’s a full ecosystem for learning and development. Let’s start with Totara Learn—the LMS that most people are familiar with. What makes it stand out?

Sean:

Totara Learn is incredibly flexible, which is its biggest advantage. You can tailor everything—from learning pathways to branding—to fit your organization’s needs.

With Totara Learn, you can:

•Create custom learning pathways for different roles or departments.

•Track and manage compliance training, ensuring everyone is up to date with required certifications.

•Integrate with external systems like HR tools or CRMs.

•Use detailed reporting to track learner progress and training ROI.

It’s ideal for organizations that need to deliver structured, formal learning at scale—whether that’s a global enterprise or a small team growing rapidly.

Alex:

It sounds robust and very adaptable. Now, you mentioned Totara Engage, which adds collaboration and social learning. What does that bring to the table?

Sean:

Totara Engage is all about making learning more collaborative and dynamic. Not everything an employee learns comes from a formal training course—people learn by sharing knowledge, reading articles, watching videos, and connecting with peers. Engage helps facilitate all of that.

Key features include:

• Content Curation: Employees can find, share, and curate resources—like videos, podcasts, and articles—to support their learning.

• Social Collaboration: You get tools like forums, discussions, and peer-to-peer feedback to create a real learning culture.

• Workspaces: Teams or projects can create dedicated spaces to share resources and collaborate on learning goals.

Alex:

So it’s great for organizations trying to promote continuous, informal learning alongside traditional training.

Sean:

Exactly! Engage helps organizations unlock the knowledge that already exists within their teams and puts it to good use.

Alex:

And then there’s Totara Perform—the performance management piece. How does that tie in?

Sean:

Totara Perform is all about connecting learning with employee performance. It helps organizations identify skill gaps, track progress, and align training with individual and business goals.

Some of the standout features include:

• Goal Setting: Managers can set performance goals that are tied directly to learning objectives.

• Competency Management: You can map learning outcomes to specific skills and competencies.

• Continuous Feedback: Employees and managers can track progress with regular check-ins and real-time feedback loops.

• Performance Reviews: It centralizes appraisals, making it easier to evaluate employees while aligning their development with company goals.

The benefit here is that performance management isn’t treated as a separate function. It becomes integrated with learning, so employees are constantly growing and contributing to the company’s success.

Alex:

That’s huge. So instead of annual performance reviews feeling like a chore, they’re part of an ongoing, dynamic process.

Sean:

Exactly! And it’s driven by real data from both learning progress and performance metrics.

Alex:

Now, something big is happening with Totara 19. Totara Learn and Totara Engage are being merged into one platform. Why is that such a significant update?

Sean:

This is a big deal, Alex. Traditionally, Learn handled formal training, while Engage handled informal learning and collaboration. By merging them into one platform, Totara 19 makes it seamless for organizations to combine structured learning with social and peer-driven experiences.

Imagine an employee completing a formal course in Totara Learn, but immediately sharing insights or related resources in a Totara Engage workspace. It’s a more integrated learning experience that reflects how people actually learn on the job.

For administrators, it simplifies things too—you don’t need to manage two separate systems. It’s one unified platform with a clean, user-friendly experience.

Alex:

It really seems like Totara is doubling down on the idea of blended learning—formal, informal, and performance management all in one ecosystem.

Sean:

That’s exactly it. Totara isn’t just a learning platform—it’s a complete solution for developing people. Whether you’re delivering compliance training, fostering collaboration, or improving employee performance, Totara brings it all together.

Alex:

If someone’s listening and thinking, “This sounds perfect for my organization,” what’s the best way to get started?

Sean:

The first step is to explore your goals. Are you focused on compliance? Do you want to foster social learning? Or are you looking to align learning with performance? Totara can handle all of it, but it helps to identify where you want to start.

At Webanywhere, we help organizations implement Totara, customize it to their needs, and train teams to make the most of it. You can visit webanywhere.com to set up a demo and see how Totara can transform your learning and performance strategy.

Alex:

Sean, this has been such a great conversation. Totara Learn, Engage, and Perform really offer a complete package for organizations that care about developing their people. And with Totara 19 merging Learn and Engage, it’s only getting better.

Sean:

Absolutely. Thanks for having me, Alex—I always enjoy talking about how technology can unlock learning potential.

Alex:

Thanks, Sean. And to our listeners, if you’re looking for a flexible, powerful solution to manage learning, collaboration, and performance, visit webanywhere.com to learn more about Totara LMS and how it can help your organization thrive.

Until next time—keep learning, keep growing!

The post What is Totara? appeared first on Webanywhere.

How AI Can Improve Employee Productivity: AI Agents, LLMs, and Multimodal Tools

Businesses face constant pressure to boost employee productivity. Enter Artificial Intelligence (AI)—the ultimate tool to streamline workflows, reduce wasted time, and empower employees to focus on what matters most.

In this Learning Summit Podcast episode, Sean Gilligan, founder of Webanywhere, explains how AI agents, Large Language Models (LLMs), and multimodal AI are transforming workplace productivity. Below is the full transcript of this insightful conversation.

Alex (Host):

Welcome back to the Learning Summit Podcast. Today we’re diving into a topic that’s transforming the future of work: how AI can enhance productivity for employees.

I’m joined by Sean Gilligan, founder of Webanywhere and a leading voice in AI and education technology. Sean, great to have you here.

Sean Gilligan:

Thanks, Alex. It’s a pleasure to be here. AI is unlocking so much potential for employees and businesses, so I’m excited to share some insights today.

AI Agents: Connecting the Dots Across Systems

Alex:

Let’s start with the basics. Productivity often breaks down when employees spend time searching for information across different platforms—like Salesforce, Jira, and Google Workspace. AI Agents seem like the solution. Can you explain what they are?

Sean:

Absolutely. AI agents—like Google’s Agentspace—act as smart assistants that connect data across systems. Instead of toggling between apps, employees can simply ask an AI agent to pull the information they need.

For example, you could ask, “What’s the status of Project X?” and the AI agent will fetch Jira tickets, updates from Salesforce, and notes from Google Docs. It provides a single, instant summary, eliminating the need to search manually.

Alex:

That’s a huge time-saver. I’ve read that employees spend up to 30% of their day just searching for information.

Sean:

Exactly, Alex. AI agents give that time back, allowing employees to focus on strategic tasks—like decision-making, problem-solving, and innovation.

Training LLMs on Your Own Data

Alex:

The next game-changer is Large Language Models (LLMs). Businesses are now training models like OpenAI’s ChatGPT, Claude by Anthropic, or Google Gemini on their own company data. How does this improve productivity?

Sean:

Great question. Off-the-shelf LLMs are already powerful, but when you train them on your specific data—like company policies, internal knowledge bases, or product details—they become far more tailored and relevant.

For instance, a customized LLM can:

• Generate highly accurate reports.

• Answer employee questions about workflows and protocols.

• Streamline customer support with instant, data-specific responses.

Alex:

That sounds like a win for security too.

Sean:

Absolutely. Training LLMs on your data in a secure environment means sensitive information stays in-house. Businesses are essentially creating their own private AI ecosystems that are tailored, secure, and incredibly useful.

Alex:

And when businesses are choosing between tools like ChatGPT, Claude, or Gemini, what factors should they consider?

Sean:

It depends on their use case.

• ChatGPT is versatile and well-rounded.

• Google Gemini integrates seamlessly with Google Workspace, so it’s great for businesses already using Google tools.

The right model depends on your needs and existing systems.

Multimodal AI: Voice, Video, and Live Collaboration

Alex:

You also mentioned multimodal AI, which seems to be a big trend. Can you explain how it helps employees?

Sean:

Of course. Multimodal AI means models don’t just process text—they handle voice, video, and images too. This opens up new ways to improve collaboration and productivity.

Imagine you’re in a virtual meeting. An AI tool can:

• Analyze video feeds in real-time.

• Generate instant meeting summaries and action points.

• Process shared screens to extract key information.

It’s like having an AI assistant watching, learning, and summarizing everything for you.

Alex:

So AI could watch a live presentation, generate notes, and even pull insights?

Sean:

Exactly! This is especially useful for remote teams. Platforms like Watch and Learn already enable these capabilities—creating automatic transcripts, summaries, and action plans after meetings.

This ensures nothing is missed, and employees can focus on discussions instead of note-taking.

Getting Started with AI

Alex:

Sean, you’ve shared so many powerful insights: AI agents connecting systems, LLMs tailored to company data, and multimodal tools enhancing collaboration. For businesses ready to get started, where should they begin?

Sean:

Start small and practical. Identify bottlenecks in workflows—like time wasted searching for information or summarizing meetings. Pilot AI tools to solve those problems.

Once you see the impact, you can expand AI across other processes. The goal is to empower employees, not replace them. AI gives them the tools to be more efficient, creative, and strategic.

Alex:

Fantastic advice. For our listeners who want to explore AI solutions for their teams, visit webanywhere.com—Sean’s team is doing incredible work in this space.

Sean, thanks for joining us.

Sean:

Thanks, Alex. It’s been great.

Alex:

And that’s a wrap for this episode of the Learning Summit Podcast. Stay tuned for more insights on the future of work and technology. See you next time!

AI Agents streamline workflows by connecting data across tools like Jira, Salesforce, and Google Workspace, saving valuable time. Custom-trained LLMs deliver tailored, secure, and highly relevant outputs by leveraging your company’s data. Multimodal AI enhances collaboration through live video analysis, automatic transcripts, and real-time summaries. To get started, focus on solving specific productivity challenges with AI and scale gradually for maximum impact.

The post How AI Can Boost Employee Productivity? appeared first on Webanywhere.