The Fantasy Novel That Unlocked Her Curiosity

SHOW NOTES: 

WorkLife Stories from School of WorkLife Episode: The Fantasy Novel That Unlocked Her Curiosity 

Learning about the fantasy novel that unlocked her curiosity begins with recognising that the analytical frameworks you trust most may also be the ones quietly limiting what you can discover.

Elsa had built her reputation as a senior data scientist on precision. Reliable models. Actionable insights. Results that stakeholders could depend on. But the same limitations kept returning — innovation stalling at incremental improvements, promising anomalies cleaned out of datasets, breakthrough thinking remaining just out of reach. This is the story of the Friday night a fantasy novel showed her that the questions she hadn't thought to ask were the most important ones.

RESOURCES MENTIONED

The Storytelling Newsletter (Free) Short, focused, and grounded in real WorkLife situations — how we communicate, lead, make decisions, and navigate challenges at work.  

Story Lesson The Fantasy Novel That Unlocked Her Curiosity — Learn how speculative fiction develops the capacity to question foundational assumptions — and what becomes possible when you stop optimising within the rules and start asking whether the rules themselves are the constraint.

Guided Programme The Power of Fiction: Developing Character Traits Through Reading –Discover how literature strengthens empathy, perspective, and moral judgement — essential traits for thoughtful leadership. 

This story was inspired by my book, WorkLife Book Club Volume One Shoreditch by Carmel O’ Reilly — following members of a London book club as they navigate WorkLife challenges through the wisdom found in the books they read together.

Support This Work: Your support makes a difference and helps me to continue creating resources that are accessible to everyone. Thank you. Carmel

Commissioned learning resources, speaking engagements, and organisational partnerships: carmel@schoolofworklife.com

schoolofworklife.com

The stories I write are based on real WorkLife challenges, obstacles, failures and successes. Persons and companies portrayed in the stories are not based on real people or entities. Carmel O’ Reilly

Transcript

SPEAKER_00 0:08

Elsa had been a senior data scientist at a renewable energy company for four years. Reliable models, actionable insights, performance reviews that use words like precise and dependable, and yet something wasn't working. The same limitations kept returning. Innovation stalled at the incremental improvements. Promising anomalies got cleaned out of databases. Breakthrough thinking remained just out of reach. Elsa was solving problems well, but she was beginning to suspect she wasn't always asking the right questions. Welcome to Work Life Stories from School of Work Life. I'm Carmel O'Reilly, and today's episode is the fantasy novel that unlocked her curiosity. It begins with recognizing that the analytical frameworks you trust most may also be the ones quietly limiting what you can discover. This story is about Elsa and about the Friday night she picked up a fantasy novel to quiet her analytical mind and found it quietly dismantling the assumption she had spent years learning to trust. The Friday night had changed everything. At 11.30 p.m. on a Friday, admitting defeat to another evening of uninspiring analysis, Elsa reached for a novel her colleague had mentioned much earlier. She was wrong. What she found wasn't escapism. It was a world where every apparent truth was constructed reality, where the planet's catastrophic instability wasn't random disaster. It was the consequences of an ancient extraction that had wounded the world itself. Where the systems designed to manage people actually limited collective understanding of what was possible? By dawn she was sitting at her kitchen table with her coffee and a notebook asking questions she'd never thought to ask in her own work. What if the energy systems I model aren't operating according to the principles I assume? What hidden relationships might exist between variables I've been treating as independent? What would happen if I questioned the basic framework rather than just optimizing within it? The Monday morning breakthrough. When Elsa arrived at work that Monday, her colleague Marcus, mentioned anomalous patterns in their wind farm efficiency data, irregularities that didn't fit their existing predictive models. Her automatic response began forming, clean the data, check the sensors, eliminate the outliers. Then something made her pause. She thought about how the organis in the fifth season had been trained to suppress their natural abilities rather than explore their full potential, how the systems designed to manage them had actually limited collective understanding of what was possible. What if these aren't anomalies to be eliminated, she heard herself saying? What if their signals we don't know how to interpret yet? What followed was a kind of conversation Elsa had never had with her team before. The anomalous readings correlated with previously unmapped microclimate variations across their wind farm locations. The problem data became the key to understanding why some turbines significantly outperformed their theoretical efficiency ratings, while others consistently underdelivered. Two weeks later, the insights led to a 12% efficiency improvement across their wind farm network, not through better technology, through better questions. What Elsa realized afterwards, energized by the wind farm breakthrough, Elsa began reflecting more carefully on what the fifth season had actually revealed. The novel's characters treated systemic catastrophes as natural disasters to be endured rather than consequences to be understood. Elsa recognized the same pattern and how her industry approached technical limitations, accepting them as natural constraints rather than investing their origins. Her company's energy storage algorithms were based on models developed for centralized power grids, but they were now working within distributed renewable systems that operated according to entirely different principles. Like the characters who finally understood their planet's true condition, Elsa's team needed to see their technological ecosystem clearly before they could work within it effectively. The book had also shown her something about how curiosity gets systematically constrained, how orgonies were taught just enough to be useful while being kept ignorant of their full capabilities. She recognized the same pattern and how our organization approached innovation, encouraging optimization within established frameworks, whilst discouraging questions that might challenge fundamental approaches. She began creating space for her team to investigate questions that didn't fit existing project categories. They called it system curiosity. What happened next? Elsa tried to share her assumption questioning approach with her wider team. The response surprised her. During a project review, she suggested examining the foundational assumptions underlying their predictive model before optimizing within it. Martin, a senior data scientist with fifteen years of experience, set down his pen. Are you saying our methodology is wrong? The room had gone quiet in a way that told Elsa the discomfort was shared. She drove home that evening, understanding something she hadn't anticipated. The Winform insight had felt like liberation to her because she had been the one to discover it. For colleagues who had spent careers developing expertise within established frameworks, the suggestion that foundational assumptions deserved questioning didn't feel like curiosity, it felt like criticism. She returned to the fifth season looking for something specific. She found it in the way Alabaster taught Esum. He didn't challenge her understanding by dismissing everything she'd been taught. He asked her to extend what she already knew, working for her competence, not against it. At the next team meeting, Elsa changed her approach entirely. I want to build on what we already do well, she said. Our methodology is strong. I want to explore whether there are questions it's not currently designed to ask, and whether adding that layer would make what we already do even more effective. Martin looked at her for a moment. That's a different question, he said. Yes, Elsa said it is. The conversation that followed was the one she had been trying to have for three months. The shift. One insight change how Elsa approached her work, from optimizing within the framework she trusted to asking whether the frameworks themselves were the problem, and one question asked before every analysis began, changed what our work could find. Not what assumptions am I making, but is this the kind of problem where the assumptions are the problem? The ripple effect. Once Elsa began working this way, other situations started to make more sense. Cross-functional projects that had stalled despite everyone's apparent commitment weren't communication problems. They were assumption problems, each team operating from frameworks the others couldn't see. Innovations that failed to gain organization traction weren't weak ideas. They were ideas that challenge established frameworks and were being unconsciously filtered out by evaluation processes designed to protect those frameworks. When Elsa brought the same patient curiosity she had developed through the fifth season to those situations, something shifted, not dramatically, but sustainability. The teaching insight. Elsa discovered that analytical effectiveness wasn't about better methodology. It was about understanding when the methodology itself was a constraint. When she stopped asking what the data showed and started asking what the framework was preventing her from seeing, two things changed. Her analysis addressed the real problems and the questions her team was permitted to ask finally expanded. Why this matters? Technical training focuses on methodology, precision, and analytical rigor, but analytical effectiveness also requires something harder to teach. The capacity to question the frameworks that determine which questions can be asked in the first place. When we engage with speculative fiction that challenges fundamental assumptions about how systems work, we practice a specific kind of thinking, genuine curiosity about what lies beneath the surface before accepting the surface as sufficient. Elsa's story shows what happens when the habit of thinking moves from the page into the data. And like the best novels, the practice keeps revealing new things the longer you stay with it. That's today's story, the fantasy novel that unlocked her curiosity. The complete lesson follows Elsa's full journey, including the winform breakthrough that revealed what becomes possible when the fifth season's insight about hidden systems moves from the page into the data. The project where her curiosity created more problems than it solved. The colleagues whose professional identities were built on frameworks she was asking them to question and what she discovered when she returned to the book six months later, and shows how you can apply the same quality of curiosity in your own work, learning to recognize when the framework itself is a problem. And if you want to go deeper, the companion guided program, The Power of Fiction, Developing Character Traits Through Reading, is there when you're ready. This story is inspired by my book, Work Life Book Club, Volume 1 Shortage by Carmel O'Reilly. All the details and links are in the show notes, or you can find everything at school of worklife.com. Subscribe to the podcast for weekly audio stories, or visit the storytelling newsletter for the written versions or both. Next time we'll be exploring how strategic opening lines build the trust that closes the deal, a story about Dredger's journey from product-focused salesperson to trusted advisor to mastering narrative opening lines. Her transformation reveals how leading with client insight stories rather than company credential build advisory relationships that transform transactional evaluations into collaborative partnerships. Until then, remember, the novel that challenges how you see the world most fundamentally often reveals the questions about your professional life that you didn't know you needed to ask. Thank you for listening.