In learning and development, we rightly obsess over making sure that any content we use is relevant and focused.
But in that rush to make content accurate and useful, we don’t always pay enough attention to how easily can people actually find what they need – especially when content is being delivered in digital/electronic format.
Whether you’re building an e-learning course, designing a job aid, or creating a digital tool, the principle is the same: the human factor comes first. If the design adds friction — too many steps, too many clicks, too much cognitive juggling — people are much less likely to engage.
This simple principle is so important that it continues to shape our designing and building of PerformaGo. And there are really two important aspects to this:
For you as a user of PerformaGo
The process of creating a custom GPT needs to feel smooth and intuitive. You shouldn’t need to be a developer to design one. That’s why we’re stripping out unnecessary design and build steps and aligning our entire design process with well-established performance support frameworks and principles.
For your learners – the users of your custom GPT
When someone turns to a custom GPT for preparatory or immediate support in the flow of work, they need fast, frictionless answers. If it takes five clicks and a jargon-filled screen to get there, they won’t come back. But if the interaction is simple, clear, and human-centred, it stands a much better chance of becoming part of their daily work rhythm.
Extending learning into performance means designing not just for performance need, but for usability. And usability starts with simplicity.
That’s the universal principle guiding we are using for PerformaGo: build for humans, not systems. Because with poor interface design out of the way, performance support can come through.
If you’d like to extend your learning into the workplace, register your interest in PerformaGo for the most up-to-date information about the build and early-access releases.
