Experienced course developers and trainers typically follow proven learning models – Bloom’s Taxonomy, ADDIE or the Kirkpatrick Model. But to meet today’s need to roll out fast but effective training programs, I use a spin-off that is very much based on the tried-and-true training methodologies. While the name “Tell me. Show me. Let me try. Test me.” may seem long, when I tell people about it, they get it.
So, what is “Tell me. Show me. Let me try. Test me.”? It’s a framework to help structure training that promotes good learning outcomes. It is relatively simple to understand and implement – tell the learner the concepts they are going to learn about, show them the concepts, let them try on their own by allowing them to do the practical application, and then test them to see if they have understood the concepts.
If you follow this structure or flow, there is a guaranteed learning outcome where the learner will retain what they need to know (it might take a few more “let me trys” to grasp complex concepts).
Key takeaways
- The framework has four steps: tell the learner the concept, show them how it works, let them practice it, then test their understanding.
- It’s built on techniques with real evidence behind them — specifically distributed practice and self-testing, two of the highest-rated learning techniques identified in a review of over 700 scientific studies.
- Complex concepts usually need more than one pass through “let me try” before a learner fully retains them — that’s expected, not a sign the framework isn’t working.
- The framework is modality-agnostic. It works as a foundation for instructor-led training, eLearning, microlearning, or any other delivery format.
- LEAi builds this structure automatically, so even non-training-experts using the tool still produce courses that follow proven instructional design practice.
What is the “Tell me, show me, let me try, test me” framework?
“Tell me, show me, let me try, test me” is a four-step instructional design framework for structuring training so learners actually retain what they’re taught. It’s simple to understand and apply, and it works because each step maps to a specific, evidence-backed learning technique rather than just a teaching preference.
1. Tell me
Introduce the concept directly. This is where the learner first encounters the “what” and “why” — the core idea they need to walk away understanding. Keep this step focused and don’t try to teach everything at once; it sets up what the learner should expect to see and do next.
2. Show me
Demonstrate the concept in action. This is where abstract explanation becomes concrete — a walkthrough, a demo, a worked example. Learners need to see the concept applied before they’re asked to apply it themselves.
3. Let me try
Give the learner a chance to apply the concept hands-on, with room to get it wrong. This is the step most training programs shortchange, but it’s often the one that matters most — active practice is what turns “I understood the explanation” into “I can actually do this.” Complex concepts often need more than one pass through this step before they stick, and that’s expected, not a failure of the framework.
4. Test me
Check whether the concept was actually retained, not just understood in the moment. Testing here does double duty: it validates learning for the course creator, and — as the research below shows — the act of self-testing itself strengthens memory.
Does this framework actually work?
The short answer is yes, and there’s real research behind why. For years, learning theory leaned on the “Learning Pyramid” (also called the Cone of Learning) to justify claims about retention rates for different teaching methods — but that model has since been widely discredited; the specific retention percentages it’s associated with have no solid evidence behind them.
A more rigorous foundation comes from a review led by researchers John Dunlosky, Katherine Rawson, Elizabeth Marsh, Mitchell Nathan, and Daniel Willingham, who assessed more than 700 scientific studies covering 10 widely used learning techniques. To earn a strong recommendation, a technique had to work across a range of learners, subjects, and assessment types — not just in one narrow study.
Two of their top-rated techniques map directly onto this framework:
Distributed practice. Spacing learning out over time consistently beats cramming. Across an analysis of 254 studies with more than 14,000 participants, learners who studied with spaced sessions retained significantly more than those who crammed — in some cases, a 30-day gap between sessions improved performance more than a 1-day gap did. As a rough guide: to retain something for a week, space sessions 12–24 hours apart; to retain it for five years, space sessions 6–12 months apart. Learners do lose some ground between long intervals, but they relearn it quickly — much faster than starting from scratch.
Self-testing. Testing isn’t just an evaluation tool — it’s a learning technique in its own right. Practice testing forces a mental search through long-term memory, which activates related information and builds multiple retrieval pathways, making the material easier to access later. This is why “test me” isn’t just a final checkbox in the framework — it’s doing real cognitive work.
How do you apply this framework to build a course?
Applying “Tell me, show me, let me try, test me” means leaning into the two techniques above at every stage: introduce the concept more than once across the course (distributed practice), and build in self-testing opportunities rather than saving assessment for the very end.
The other advantage of this structure is that it’s format-agnostic. Once a course is built around these four steps, you can adapt the same underlying content into instructor-led training, eLearning, microlearning, or any other delivery format — the structure holds regardless of how it’s ultimately delivered.
How does LEAi apply this framework automatically?
When we built LEAi, we knew a lot of our users wouldn’t be trained instructional designers — but we still needed every course built on the platform to follow sound learning principles. So instead of requiring users to know this framework themselves, we built it directly into the product: a user uploads raw content from a subject matter expert, and LEAi automatically structures it into the tell me, show me, let me try, test me flow.
Once that foundation is built, the course creator can choose how to deliver it — video, instructor-led training, eLearning, or any other modality — all from the same underlying source content.
Today, teams use this across a wide range of use cases: product organizations building product training, HR teams generating onboarding or customizing compliance training, sales and partner teams building enablement programs, and learning teams looking to scale training output without scaling headcount.
Let LEAi build great training using "Tell me, show me, let me try, test me" framework
FAQs
How is "Tell me, show me, let me try, test me" different from ADDIE or Bloom's Taxonomy?
ADDIE is a process framework for building a course from analysis through evaluation, and Bloom’s Taxonomy classifies learning objectives by cognitive complexity. “Tell me, show me, let me try, test me” is narrower and more tactical — it’s a structure for how to sequence any single learning module so it sticks, and can be used alongside either of those broader frameworks rather than in place of them.
How many times should a learner go through "let me try" before moving on?
It depends on the complexity of the concept. Simple concepts may only need one pass; complex ones often need several. Needing multiple attempts is a normal and expected part of learning, not a sign that the content or the learner is struggling.
Does this framework work for self-paced eLearning, or only instructor-led training?
It works for both, along with microlearning and other formats. Because the framework structures the underlying content rather than a specific delivery method, the same “tell me, show me, let me try, test me” foundation can be adapted into whichever format best fits the audience.
What's the evidence that self-testing improves retention?
A review of more than 700 studies on learning techniques found that practice testing consistently improves long-term retention because it forces active retrieval from memory, which strengthens the neural pathways used to access that information later — a stronger and more consistent effect than passive review methods like re-reading.
