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Ideas, research, and practical guidance for organizations looking to create more meaningful experiences.

Foundational Philosophy

Stories as Catalysts for Reflection, Perspective, and Growth

The Research Foundations Behind the ITT Media Story Experience

Ginger G. Malin, Ph.D.  ·  August 2026

Executive Summary

ITT Media is built on a deceptively simple premise: a story is not merely content to be consumed. It can become a shared experience through which people recognize themselves, reflect on what matters, encounter other perspectives, imagine new possibilities, and decide what they want to carry forward.

That design philosophy aligns with established scholarship in reader-response theory, social constructivism, literature discussion, perspective-taking, and possible-selves theory. The research helps explain why ITT's combination of story, reflection, conversation, and intentional follow-through can create conditions for personally meaningful learning and, over time, changes in how people communicate, relate, mentor, lead, and participate in organizations.

Story + Reflection

Recognition and personal meaning

Conversation

Shared interpretation and perspective

Carry It Forward™

Possibility, intention, and action

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Latest Insights

Shorter insights from the ITT team on building trust, connection, and understanding through stories.

August 21, 2026

Keep the Meaning Human

We built ITT around a simple belief: a story can open something in a person that a slide deck never will. The reflection that follows is personal. The conversation is human. The decision about what to carry forward belongs to each participant. So when people ask me where AI fits into all of this, my answer starts there, with what we refuse to let it touch.

The story is human. The reflection is human. The conversation is human. The choice about what matters is human. AI works behind the scenes, and only where it helps people and organizations make more of what they've already created.

Consider what happens when someone finishes an ITT Experience. They've sat with a story, answered a few reflection prompts in their own words, and chosen something to carry forward. We can use AI to bring those responses together into a concise personal summary, not to interpret the person, not to tell them what to think, and certainly not to diagnose them. The participant creates the meaning. AI simply reflects it back in a way that's easier to revisit, keep, and return to.

Now imagine that same experience across an annual conference: hundreds of participants, dozens of group conversations, hundreds of commitments to carry forward, and weeks later, follow-up reports on what actually happened. Without AI, making sense of that volume of open-ended response would take enormous staff time. Important patterns would be missed. And too often, rich answers would get reduced to simple counts simply because counts are easier to analyze than language.

That's where AI changes what's possible for us. It helps us synthesize large volumes of participant-created response and surface recurring patterns: what captured people's attention, what they kept returning to, what they realized, why the conversations mattered, what they chose to carry forward, and, later, what they reported happening.

We use it to create, on demand, an end-to-end loop: from the story a person reads, to the reflection they write, to the conversation their group has, to the intention they set, to the follow-up they complete weeks later, and finally to a report an organizer can actually use. Each step is created by people. AI helps the steps connect into something a whole organization can learn from.

Organizations already collect enormous amounts of data — surveys, assessments, attendance, performance measures. AI gives us a way to work with a different kind of information: the words people use when they describe what they noticed, the ideas that stayed with them, the questions they're still thinking about, the actions they chose for themselves. At scale, those responses become a richer picture of what's happening across an experience.

The boundaries matter to us. AI doesn't decide what a participant should believe. It doesn't replace reflection or conversation. It doesn't determine whether someone succeeded or failed. It doesn't manufacture consensus or turn individual responses into certainty about an entire organization. The original, participant-created response is always the foundation. AI supports interpretation and synthesis within defined limits, to help people see more clearly, not to overstate what the information can prove.

We believe the future isn't human experience or artificial intelligence. It's learning to use AI in ways that make human experiences more valuable. Stories create recognition. Reflection creates understanding. Conversation creates perspective. People decide what matters. AI helps make sense of what emerges.

Keep the meaning human. That's the principle. AI does the rest, where it adds real value.

August 12, 2026

Connection Doesn't Require Confession

He was called stupid by his family. She studied by candlelight while ducking from gunfire in her home country. He was once forced to eat ketchup on his hot dog.

What?

That was my recent experience sitting through an executive training session intended to build trust. Each executive was asked to share deeply personal experiences from their background. Tears flowed. Hugs ensued. But when it was over, I wasn't sure what we had actually accomplished.

To me, something felt wrong about requiring personal disclosure in the name of building trust. Sitting among colleagues who had experienced childhood trauma and profound hardship, I found myself searching my own history for something suitably revealing. I offered that my childhood had included meeting a serial killer. (Yes, really.)

But does connection require confession?

What if, instead, we began with a purposeful short story and reflected together on experiences and challenges we've faced—on our own terms, and without being asked to tell our life stories?

A good story can open a conversation about communication, trust, resilience, teamwork, loss, or perseverance. We can disagree about what it means. We can recognize ourselves in a character. We can share something personal—or simply listen.

Trust can grow through honest conversation and shared reflection without requiring people to expose the most difficult parts of their histories in the name of transparency.

Sometimes the story can do the opening for us.

July 16, 2026

Sometimes All It Takes Is a Good Story

It turned out that Susan used some of her commission checks to buy food for vulnerable neighbors. Angela spent weekends crossing the state to drive her boys to baseball tournaments. Deepak moved across the country to help care for his aging parents.

How did I know?

Because I asked.

Our company was predominantly remote, and in those few sometimes-awkward minutes at the beginning of calls, I tried to check in. Over time, those conversations told me far more about the people I worked with than any formal team-building exercise ever did.

Like many remote organizations, we tried the usual things: gift cards for overtime, online parties, virtual gifting (woo hoo), and exercises designed to tell us our respective personality colors.

They had their place. But they weren't the same as knowing one another.

What if, once a month, we reserved part of a meeting to read a carefully selected short story and make meaning from it together?

A story might lead us into conversations about loss, communication, ambition, resilience, success, failure, or missed opportunities. Nobody has to disclose something intensely personal. The story gives us common ground, and each person decides how far onto that ground they want to walk.

We learn from one another. We discover perspectives we didn't know were there. And, over time, we begin to understand the people behind the screens.

For teams whose members may see one another in person only once a year, that matters.

Strong teams aren't built because everyone knows everyone else's personality color. They're built when people know something about the people beside them—and have learned how to listen to one another.

Sometimes all it takes to start is a good story.

June 20, 2026

Stories Give Us a Place to Begin

It was icy outside but warm in the room at a public safety conference in Niagara, Canada.

The speaker—a former dispatcher who had become an executive—spoke openly about her struggles with anxiety and mental health despite professional success and a wonderful family. The audience was moved. Several people joined the conversation.

What made the session powerful wasn't that she had all the answers. She didn't pretend to. Instead, her story created an opportunity for people in the room to recognize something in themselves and one another—to find some common humanity in shared experience.

Then the conference ended.

That's the problem with many of these extraordinary conversations: they're extraordinary. We experience them at a conference, retreat, or annual meeting and then return to work.

How do we create opportunities for conversations like these more regularly?

A story group offers one way. Read something meaningful together. Reflect on it. Talk about the issues it raises and the experiences it brings to mind. Some people may want to share deeply. Others may contribute an observation. And someone else may simply want to listen.

Then take something with you.

We call it Carry It Forward: one thought, behavior, conversation, or action inspired by the experience that a participant can try afterward.

A great speaker can move us to think differently for an hour. A continuing practice of reading, reflecting, and talking together can do something more: help us understand ourselves and one another over time.

Stories give us a place to begin.

Research & White Papers

Long-form thinking on organizational experiences, story-driven learning, AI, engagement, conferences, leadership, and organizational understanding.

The Future of Organizational Experiences

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Beyond Satisfaction Surveys

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Why Stories Create Lasting Learning

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Understanding Experience Intelligence

Coming soon

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