Storytelling

3 Research-Backed Principles For Storytelling

We can see stories from different perspectives: narrative structure, cultural meaning, creative craft, brain mechanisms. So, what does cognitive psychology actually show about how our brains process stories for learning?

When L&D professionals take claims for granted, we waste time chasing effects that don’t exist while missing the mechanisms that actually help people learn. For me, that means looking closely at learning through stories. As much as I believe in the power of storytelling and like the idea that “we’re wired for stories”, I find it crucial to base my work in what’s evidence-informed. That’s why I try to be more cautious with hype.

Three Myths about Stories & Learning

Goodbye mirror neurons! I liked you, but you’re not what I thought.

#1. Mirror Neurons are Empathy Machines

The reality: Research in the 1990s found neurons in monkeys that fired during both action and observation. For years the hyped claim was “neurons that read minds”. More recent research shows mirror neurons handle basic motor categorization, not empathy.

#2. Stories Are 22x More Memorable Than Facts

The reality: No peer-reviewed study supports this. Often misattributed to Stanford researchers, but there’s no official publication.

#3. Your Brain Can't Tell Fiction from Reality

The reality: Stories engage the same brain regions used for perception and action, but our prefrontal cortex remains aware of the “narrative frame” and knows the difference between stories and reality. Otherwise, we’d have a serious problem.

Three Research-Backed Principles

We can see stories from different perspectives: narrative structure, cultural meaning, creative craft, and also cognitive processes. So, what does research from cognitive psychology actually show about how our brains process stories for learning?

#1. We Build Situation Models

“Monday morning. Maria walks into the conference room. The projector isn’t working. She needs to start her presentation in 10 minutes. She calls IT.”

Our brain doesn’t store these sentences separately. It builds a situation model: a mental simulation tracking Maria, the room, the timeline, and her goal. This relies on grounded cognition: the brain understands a situation by mentally re-enacting the sensory and motor experiences it describes, rather than just processing abstract data. This is why scenario-based learning is so effective for teaching procedures.

But: If the story jumps around too much (different times, different places, too many characters), the brain spends all its energy just tracking the story instead of learning from it. Also, deep comprehension occurs only when a person can successfully build a situation model and apply it to a new scenario.

LXD Tip: Easy, coherent stories work best. The narrative should support learning, not compete with it. We want cognitive workout, not cognitive overload.

Helping People Understand

Instead of: Here are five conflict resolution techniques: active listening, I-statements, finding common ground, taking breaks, and seeking mediation.

Possible application: A branching scenario where learners track a workplace conflict across time (monday to friday), space (meeting room, email, colleague’s office), causality (what triggered what), protagonists (two team members plus manager), and intentions (what each person is trying to achieve). People build a mental model of “how workplace conflicts escalate and resolve” rather than memorizing a list. When they face real conflict, they access that mental model, not a bullet point.

#2. Getting Absorbed Makes Us Less Defensive

When absorbed in a story, we stop arguing with it. The scientific term for this is transportation. Our brain is so busy building a mental movie, responding emotionally, and focusing all its attention on what happens next, that we have less mental energy left for “I don’t buy this”.

But: Being transported doesn’t automatically change beliefs or behaviors. Transportation and identification are distinct: you can be absorbed in a story without identifying with the protagonist. Transportation reduces resistance to the message; identification is closer to behavior change, because it temporarily shapes how people see themselves.

LXD Tip: Even if we in L&D are not writing the next bestseller, understanding how transportation and identification work helps us design better learning experiences.

Shifting Attitudes

Instead of: Showing a polished corporate video where an AI-generated voice-over says, “Our diversity training changes perspectives on inclusive leadership.”

Possible application: A 90-second authentic testimonial where the employee describes a specific moment: “I was in a team meeting when….” Specificity creates transportation. The viewer mentally simulates the actions the person describes. They’re building the scene in their head, which occupies the mental resources they’d otherwise disagree or reject. That’s more effective than abstract praise about “changing perspectives”.

#3. We Remember Cause-and-Effect, Not Random Facts

We’re constantly searching for causal connections. When a story shows us that A caused B, which led to C, we understand it and remember it way better than if someone just lists A, B, and C.

Research on causal coherence shows we store stories in our memory as a web of causes rather than a linear timeline. “Here are ten tips for better meetings” is harder to remember than “Maria tried having shorter meetings, which made people more focused, which led to better decisions.”

But:This only works if people already understand enough to follow the cause-and-effect chain. A story about a nuclear reactor meltdown might feel like magic to someone without a physics background.

LXD Tip: Ensure narratives reveal causal relationships learners can understand. “This happened, then this” is chronology. “This happened because this, which led to this” is causality, but only if people are able to make the inferences.

Supporting Retention

Instead of: “The product launch failed. Here are the lessons learned: better market research, clearer communication, earlier testing, and stakeholder alignment”.

Possible application: A case study showing “The product team skipped user interviews because the deadline was tight. Without user input, they built features based on assumptions…” The causal chain is explicit: skipped research → built on assumptions → late discovery → redesign delay → damaged confidence → lost advantage. Each link is understandable if people have basic project management knowledge.

Bonus: Emotion Makes Things Stick

Here’s the popular “Stories stick”, but how does it happen? When something hits us emotionally, the amygdala — which processes the significance of an event — signals the hippocampus to encode it as a priority memory: “This is important, remember this!”.

But: When something is really emotional, our attention narrows. We remember the emotional moment vividly, but we might completely forget what was happening around it.

LXD Tip: Emotional storytelling makes key concepts memorable, but intensity at the wrong moment hurts retention. Also, we can recognize unauthentic, forced emotional stakes, which can create a negative implicit memory toward the subject matter itself.

Making It Relevant

Instead of: Starting a cybersecurity course with a dramatic video of a massive corporate hack with ominous music, then spending 45 minutes teaching password protocols and two-factor authentication.

Possible application: Putting the emotional moment at the learning objective itself. When teaching two-factor authentication, show a real person describing the moment they realized their email was compromised and how 2FA would have prevented it right when you’re explaining how 2FA works. The emotion and the concept fuse.

Informed decisions

The research shows stories aren’t magic. They’re tools with specific cognitive effects that can work under the right conditions. Sometimes a clear procedure beats a scenario. Sometimes a causal case study transfers better than a checklist. Sometimes emotion at the wrong moment destroys retention rather than enhancing it.

As usual, our goal is to find the sweet spot: a narrative must be compelling enough to grab attention, but clear enough to support the intended cognitive processes. Unlike movies and series, we’re not just telling stories to entertain. We’re using them as a vehicle for learning. The research helps us understand the mechanisms and gives us the criteria to make decisions instead of defaulting to “add a story” whenever content feels dry. When none of these mechanisms serve our goal, we can design without a story.

Key research: Situation models (Zwaan, 2025) • Transportation (Green & Appel, 2024) • Mirror neurons (Heyes & Catmur, 2022) • Causal coherence (Dahlstrom, 2012) • Emotional memory (McGaugh, 2000).

*Developed in dialogue with Antropic’s Claude. Ideas and arguments are my own.

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