What Pre-Testing Actually Is (and Isn't)

Most people treat a test as a final checkpoint—something that happens after learning. Pre-testing flips that assumption. It means deliberately attempting to answer questions or recall information about a subject before you've formally studied it.

This isn't guessing for sport. The research behind it, sometimes called the "pretesting effect" or "errorful generation," suggests that the act of attempting retrieval—even unsuccessfully—primes the brain to encode the correct information more deeply when it arrives. A study published in Psychological Science found that students who were tested before a lecture remembered significantly more of the lecture content afterward compared to those who simply previewed the material.

Pre-testing is distinct from reviewing what you already know. Its value lies precisely in the friction of not yet knowing. That productive struggle signals to your brain that the upcoming content is relevant and worth encoding—reducing the cognitive passivity that makes passive reading so inefficient. For a grounding in the terminology behind this, see the learning strategy key terms reference.

The Evidence Behind the Technique

The pretesting effect builds on established retrieval practice research, but with a meaningful twist: failure is not a setback—it's the mechanism. When you attempt to answer a question you can't yet answer correctly, your brain enters a state of heightened attention to the gap in your knowledge. When the correct answer appears in the material, it fills a slot your brain was already holding open.

~50%

More content recalled after pre-testing vs. previewing

Research published in Psychological Science found participants who took a pre-test recalled substantially more lecture content than those who used standard preview strategies.

2x

Retention boost from errorful generation

Studies on errorful generation suggest that attempting—and getting wrong—difficult questions before instruction can roughly double retention of the correct answers compared to passive exposure.

Researchers describe this as "forward testing"—using test-like conditions before instruction to improve what gets encoded during instruction, rather than what gets retrieved after it. It's a different lever than active recall used during review, though the two work well in sequence.

Importantly, this effect has been observed across domains—from science vocabulary to complex procedural knowledge—suggesting it generalizes well to the kinds of varied professional learning young workers encounter.

“The act of retrieval itself is a powerful memory modifier. Attempting to retrieve information—even before you've fully learned it—changes what you encode when you finally encounter the answer.”

— Henry Roediger III, Memory researcher, Washington University in St. Louis

Best Practices for Pre-Testing Yourself

The technique is straightforward to implement, but a few deliberate choices make it substantially more effective.

1

Write three to five questions about the topic before you open any material.

Generating your own questions forces you to surface what you assume you know and identify where the boundaries of your understanding actually sit. This metacognitive audit is more valuable than skimming a chapter outline because it's generative, not passive.

Example: Before starting a module on financial modeling, write questions like: "What makes a model assumption dangerous?" and "How does scenario analysis differ from sensitivity analysis?" Then read to find out.
2

Make a specific prediction about what the material will argue or explain.

Predictions create a hypothesis your brain will actively test while reading or listening. When the material confirms or contradicts your prediction, the resolution becomes a memorable event rather than background noise.

Example: Before a webinar on negotiation tactics, predict: "I think the main point will be about anchoring first." Whether right or wrong, you'll register the actual answer more sharply.
3

Sketch a rough concept map of what you already associate with the topic.

A loose diagram of connected ideas—even if mostly wrong—activates the relevant knowledge network in long-term memory. New information has more attachment points when that network is already warmed up.

Example: Before studying agile project management, draw a quick web connecting words like "sprints," "retrospectives," and "backlog"—even if you're unsure of the relationships—then refine it after reading.
4

Attempt a sample problem or case before reading the worked solution.

Struggling with a problem first, even without solving it, directs attention toward the exact steps and reasoning the solution will reveal. This is especially powerful for procedural or quantitative learning.

Example: When learning a new data analysis method, try applying it to a small dataset before reading the tutorial. Your errors will make the correct method far more memorable when you encounter it.
5

Review your pre-test answers immediately after studying to close the loop.

Comparing your initial attempts with what you actually learned creates a contrast effect that reinforces the correct information and corrects any misconceptions you had going in. Skipping this step leaves value on the table.

Example: After completing a chapter, return to the questions you wrote before starting. Answer them again from memory, then note which gaps the material filled and which remain open for further study.

Quick Wins: Start Before Your Next Session

You don't need to overhaul your entire learning system to benefit from pre-testing. The following actions can be added to any upcoming study block or training session with minimal effort.

high Before your next meeting, webinar, or training session, write two questions you hope the session will answer and one assumption you're bringing in.
high Open a blank document before your next reading session and type out everything you already think you know about the chapter topic—spend no more than three minutes.
medium Find a practice problem or case study related to your next topic and attempt it cold before reading any explanatory material.

Pre-testing also pairs naturally with other counterintuitive strategies. If you're already using interleaving in your practice sessions, pre-testing at the start of each block amplifies the desirable difficulty that makes both methods effective. And if you're preparing to start a structured course or book, a pre-learning checklist can help you fold pre-testing into a broader preparation routine. Both habits live squarely in the domain of sustainable productivity habits.

Combine Pre-Testing with the Feynman Technique

After completing a new topic, try explaining it in plain language as if teaching someone else—a method formalized as the Feynman Technique. Comparing what you could explain before studying versus after gives you a concrete measure of what you actually gained. This reflection step turns pre-testing into a full learning loop rather than just a warm-up.