How We Select and Review Examples (Editorial Policy)
Every microlearning example on this site is real work produced by Ninja Tropic and shared with client permission. Guides are written by practitioners, reviewed before publishing, and cite their sources. This page explains how we choose examples, how we use AI tools, how often we update pages, and how to report a correction.
How are examples selected?
We select examples that teach something useful about microlearning design, not only the ones that look best. An example earns a place when it shows a clear objective, a format matched to its audience, and a design choice worth studying. We aim for range across industries, training types, formats and tools, so you can find work close to your situation.
Portfolio examples and case studies are client projects produced by Ninja Tropic. Lab experiments are internal tests and are always labeled as experiments. We do not present mockups or concept pieces as client work.
How is client permission handled?
Client work appears on this site only with the client’s permission. Some examples identify the client by name, while others describe only the industry, depending on what each client approved. If a client asks us to remove or change an example, we do so promptly.
Results in case studies, such as utilization, completions or enrollments, are the figures reported for each project. Where we do not yet have a confirmed number, we leave it out rather than estimate.
How are guides written and reviewed?
Guides are written by people who build microlearning every day, and each one is reviewed by a practitioner before it goes live. Reviewers check that the advice matches how projects actually run, that examples are linked correctly, and that any research claim is described accurately and cites its source.
We describe learning-science findings in plain terms and avoid overstating them. Guide bylines link to the author profile for Erick Prospero.
How do we use AI tools?
We use AI tools to help with research, outlines and first drafts, and every page is reviewed and edited by a person before it is published. AI does not choose examples, report results or make final editorial decisions. Our Lab experiments also test AI tools openly, including where they fall short.
How often are pages updated?
We refresh the homepage, hubs and key guides every quarter, and we update individual pages sooner when a tool changes, a client approves a new example, or a reader reports an error. Each page shows the date it was last updated, so you can judge how current it is.
How do I report a correction?
If you spot an error, a broken video, a wrong client detail or an outdated claim, tell us through the contact page and include the page link and what you believe is wrong. We review every correction request and update the page, along with its updated date, when the report is accurate.
