Term explanation
Horizontal communication flows between people at the same level within an organization — for example, between colleagues in the same department or team leaders across different departments. It facilitates coordination, knowledge sharing, and collaborative problem-solving without the need for information to travel up and down the hierarchy. Effective horizontal communication reduces bottlenecks, breaks down silos, and is essential for cross-functional project work and agile organizational structures.
LIZ AI helps teams communicate consistently across departments. Shared presentation templates, brand guardrails, and automatic data updates ensure that cross-functional decks always reflect the same standards and current information.
Learn more →A hybrid event is an event that combines an in-person component with a simultaneous virtual component, allowing both on-site and remote participants to attend. The challenge of hybrid events is delivering a consistent, engaging experience for both audiences at the same time. Hybrid events require careful technical setup — including streaming infrastructure, engagement tools, and moderation — and have grown significantly as remote participation became standard in corporate and conference settings.
Learn moreA learning chunk is a small, self-contained unit of educational content covering a single concept or skill. Chunking is a core principle of instructional design: breaking complex topics into manageable segments reduces cognitive load and improves retention. Learning chunks are the building blocks of microlearning programs and modular course structures, and work well in both digital and instructor-led training contexts.
Learn moreRecall questions ask participants to retrieve and state information they have previously learned or been told. They test memory and knowledge retention rather than understanding or analysis. In training sessions and educational presentations, recall questions at the end of a segment can reinforce key points and check how much the audience has absorbed. While they don't assess deeper comprehension, they are an efficient tool for checking baseline knowledge and reinforcing core facts.
Learn moreA multi-agent system is a setup in which several autonomous AI agents work together, each handling a specific part of a larger task. The agents can communicate, divide work, and combine their outputs to achieve goals that would be difficult for a single model. Typically, an orchestrator agent coordinates the workflow while specialist agents execute defined subtasks. In enterprise contexts, multi-agent systems allow complex workflows — such as researching a topic, drafting content, checking compliance, and distributing a presentation — to be fully automated.
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