unDUBBED

Fiona Crocker & Sarah Burnett | co-founders, dub dub data
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Unscripted. Uncensored. Undeniably data! The podcast where data dreams get real! We're breaking down the secrets of data brilliance, diving into the messy & magical moments of data life, from AI to simple reporting, sales and data careers. Nothings off the table! Join us for stories, insights & a few laughs with innovators from around the world. If you're ready to unmask the data game, this one’s for you!

  1. D22 The 80/20 Rule of AI: Smarter Decisions, Faster Innovation with Craig Turrell

    DEC 11

    D22 The 80/20 Rule of AI: Smarter Decisions, Faster Innovation with Craig Turrell

    Summary In this episode of UnDUBBED, hosts Sarah Burnett and Fiona Crocker sit down with Craig Turrell, to unpack the realities of enterprise AI transformation. From the concept of AI native architecture to the gap between AI hype and real-world adoption, Craig shares hard-won insights from decades at the cutting edge of AI, machine learning, and data science.   You’ll hear why machine communication and cultural influences on AI personalities matter for business, how financial institutions are leveraging AI innovation in highly regulated environments, and why leadership must drive a culture of learning and experimentation. Craig also explores the future of business intelligence, where generative AI meets data storytelling and user-centric design. If you’re navigating the challenges of AI adoption, leadership in data-driven organisations, or the next wave of business intelligence, this conversation is packed with takeaways you can apply today. Book a free 30-minute strategy session with us to explore how AI and data can accelerate your goals.   Takeaways Craig Turrell emphasises the importance of AI native architecture in enterprise settings. The conversation highlights the disparity between AI hype and its actual implementation in organisations. Craig's journey showcases the evolution of AI technologies over decades. The need for organisations to understand machine communication for effective AI deployment is crucial. Cultural influences shape the personality and responses of AI models. AI transformations in financial institutions can lead to significant efficiency gains. Leadership plays a vital role in fostering a culture of learning and innovation in AI. The future of business intelligence lies in integrating AI with traditional data practices. User experience design is essential for effective AI applications. Continuous curiosity and a willingness to learn are key traits for success in AI.    Chapters 00:00 Introduction to Enterprise AI Transformation 01:37 Craig Turrell's Journey in AI and Innovation 04:58 The Hype Cycle and Reality of AI Implementation 08:51 Understanding Machine Communication and Interaction 12:27 Exploring Machine Personalities and Cultural Influences 18:12 AI Transformations in Banking: A Case Study 25:45 Navigating Innovation in a Regulated Environment 35:58 The Power of Language in Business Communication 36:56 Acceptance of AI in Leadership 38:56 Generative Intelligence vs. Traditional Business Intelligence 40:29 The Importance of Storytelling in Data 42:37 Data Literacy and Its Impact on Decision Making 45:12 Personalizing Business Intelligence for Diverse Needs 46:19 The Future of Business Intelligence 53:35 Leadership and Team Dynamics in the Age of AI 01:01:01 Cultivating a Learning Culture in Organisations   Keywords AI, enterprise AI, AI native architecture, machine learning, data science, finance innovation, leadership in AI, business intelligence, cultural influences on AI, AI communication   Links Craig Turrell on LinkedIn: https://www.linkedin.com/in/craig-turrell-9b002665/

    1h 9m
  2. D29 Tableau IronViz Secrets: Storytelling, Colour Theory and Cultural Connections (Part 2)

    DEC 8

    D29 Tableau IronViz Secrets: Storytelling, Colour Theory and Cultural Connections (Part 2)

    Featuring: Brian Moore, Varun Jain, Kinsey Miller & Louis Yu In Part 2 of our Iron Viz deep-dive, we unpack how top Tableau creators bring data to life through storytelling, colour theory, design aesthetics, and cultural connections. This episode is best viewed on YouTube or Spotify Video. This episode explores the creative and technical decisions behind some of the most memorable Iron Viz feeder entries - where food, gaming, and visual storytelling collide. We sit down with four standout data viz designers from the Tableau community: Brian Moore, Varun Jain, Kinsey Miller and Louis Yu. Together, we explore how they use AI tools for data collection, build custom colour palettes, apply thoughtful typography, and craft narratives that turn raw data into immersive visual experiences. If you’re passionate about data visualization, designing in Tableau, or understanding what it really takes to compete on the Iron Viz stage, this episode is packed with insights you can immediately apply to your next dashboard.   ⭐ What You’ll Learn 1. Iron Viz as a Creative Playground • How Iron Viz pushes creators to blend creativity, analytics, and storytelling. • The emotional highs and lows of designing under pressure - iteration, doubt, breakthroughs.   2. Storytelling That Connects • Techniques for transforming complex datasets into clear, cohesive narratives. • Why personal and cultural connections make data more meaningful and memorable.   3. Design Aesthetics That Matter • How to use colour theory to guide attention and highlight insights. • Choosing an accessible, intentional colour palette (including colour-blind friendly options). • Typography tips for improving readability, hierarchy, and visual rhythm. • The role of layout, composition, and hand-drawn elements in creating atmosphere.   4. Data Collection, AI Tools & Workflow • How creators gathered data on food, gaming, nutrition, ingredients and cultural context. • When AI tools streamline research and when manual curation matters. • Practical lessons from unexpected data challenges.   5. Food, Culture & Gaming • How food in video games has evolved across decades. • Why cultural influences shape visualization choices and storytelling direction. • How sensory memories - taste, smell, nostalgia - enhance narrative impact.   6. Community, Feedback & Iteration • How peer feedback and the wider Tableau community elevate the work. • Why iteration is the secret to polished design and stronger storytelling.    Chapters 00:00 Introduction to Iron Viz and Brian Moore 01:34 Building the Background in Tableau 06:06 Colour Customization Techniques 12:18 Data Collection and Storytelling in Visualization 13:44 Varun Jain’s Journey in Data Visualization 15:14 Leveraging AI Tools for Data Extraction 18:48 Design Aesthetics in Data Visualization 24:47 Typography and Hierarchy in Visualizations 28:21 Aiming for the Iron Viz Stage 29:51 Introduction to Kinsey Miller and Iron Viz 31:39 Data Engineering for Iron Viz 35:48 Visual Design Choices and Inspirations 40:53 Colour Theory and Dashboard Aesthetics 47:02 Final Thoughts and Conclusion 49:27 Introduction to Lewis Yu 50:31 Concept Behind Louis’s Iron Viz Submission 54:33 Design Choices & Storytelling 59:13 Food in Video Games: Visual Trends 01:03:21 The Evolution of Cooking in Games 01:06:54 Research Process & Data Collection 01:11:14 Future Insights 01:11:42 Celebrating Creativity & Community 01:12:25 The Long-Term Impact of Participating in Iron Viz   🎤 Featured Creators & Their Work Brian MooreLinkedIn: https://www.linkedin.com/in/bm111/ Viz: https://public.tableau.com/app/profile/brian.moore7221/viz/TheConfectionConnection/TheConfectionConnection Varun Jain LinkedIn: https://www.linkedin.com/in/varunjain113/ Viz: https://public.tableau.com/app/profile/varun.viz.vorkshop/viz/WhatsforDinnerTonightIronViz2026/viz Kinsey Miller LinkedIn: https://www.linkedin.com/in/kinseynicolemiller/ Viz: https://public.tableau.com/app/profile/kinsey.n.miller/viz/CocktailCalculator/CocktailCalculator Louis Yu LinkedIn: https://www.linkedin.com/in/yulouis/ Viz: https://public.tableau.com/app/profile/louisyu/viz/PlayingwithFoodIronViz/Evolution   🎧 Perfect For You If… • You love Tableau, data visualization, or dashboard design. • You're prepping for Iron Viz or want to understand how the best designers think. • You’re looking to level up your storytelling, colour usage, typography, or design process. • You’re fascinated by food, gaming, culture, and creative data stories.

    1h 13m
  3. D28 Tableau IronViz Secrets: Storytelling, Colour Theory and Cultural Connections

    DEC 1

    D28 Tableau IronViz Secrets: Storytelling, Colour Theory and Cultural Connections

    This episode dives deep into the world of Tableau's IronViz Feeder competition, exploring how top creators transform data into meaningful stories. The unDUBBED team are delighted to host datafam members: Kevin Wee, Ann Pregler, Heather Cox and Kimly Scott. Each guest shares their process - from concept to design to iteration - revealing the emotional, cultural, and technical layers behind their IronViz entries. You’ll learn how food becomes a canvas for storytelling, how colour guides perception, and why accessibility and personal connections elevate data work. Whether you're a tenured data viz professional or a newcomer ready to learn, this conversation will spark new ideas, sharpen your design instincts, and fuel your storytelling craft. Part 1 of a 2 part series.   Key Takeaways // IronViz as a Creative Catalyst * How IronViz challenges participants to merge creativity, analysis, and storytelling. * The emotional journey behind each entry, including uncertainty, iteration, and breakthrough moments // Storytelling That Resonates * Why relatable narratives and personal connections make data more accessible and engaging. * How to transform complex or overwhelming datasets into cohesive stories. // Effective Design Techniques * How to apply colour theory deliberately to guide perception and highlight insights. * The use of typography, modular grids, golden ratios, and hand-drawn design elements. * Why accessibility matters, from colour-blind friendly palettes to alt text and contrast considerations.   // Food, Culture and Meaning * How cultural backgrounds influence the way data creators approach food-themed topics. * The role of memory, heritage and sensory experience in shaping a visualisation’s narrative.   // Iteration and Feedback * How continuous refinement improves both storytelling and design. * The value of peer feedback and community support throughout the creative process. // Data Collection and Practical Challenges * How creators gather and analyse data on nutrition, ingredients, recipes and cultural context. * When to simplify and when to deepen analysis to serve the story. Chapters 00:00 Introduction to Kevin Wee and Iron Viz 03:05 Exploring Dim Sum: A Culinary Journey 07:26 Design Principles in Data Visualization 11:26 Data Sourcing and Analysis Challenges 16:32 Cultural Connection and Personal Insights 19:57 Introduction to Heather Cox and Iron Viz 22:58 The Journey of Creating a Mocktail Visualization 25:31 The Social Impact of Non-Alcoholic Drinks 28:27 Design Inspirations and Technical Challenges 31:22 The Broader Implications of Data Visualization 33:25 Introduction to Anne Pregler and IronViz Submission 34:16 Crafting a Cohesive Story in Data Visualization37:26 Design Elements and Typography Choices 42:42 Accessibility in Data Visualization 44:15 Intentional Use of Color in Design 46:00 Introduction to Kimley Scott and Her Achievements 47:24 The Inspiration Behind Kimley's Visualization 51:37 Design Choices and Aesthetic Balance 54:34 Techniques for Effective Visualization 57:23 The Art of Storytelling in Visualizations 59:40 Linking Food, Memory, and Emotion 01:04:07 Personal Touch in Data Storytelling 01:06:17 The Passion Behind Creativity 01:06:51 Diving Deeper into Craft and Storytelling Links: Connect with Kevin on LinkedIn Connect with Ann on LinkedIn Connect with Heather on LinkedIn Connect with Kimly on LinkedIn View Kevin's Submission View Ann's Submission View Heather's Submission View Kimly's Submission The Colorblindly plugin

    1h 7m
  4. D27 Tableau Next: A New Mindset for Analytics

    NOV 15

    D27 Tableau Next: A New Mindset for Analytics

    Summary In this episode of Undubbed, Fiona and Sarah explore Tableau Next, a revolutionary analytics platform from Salesforce. They discuss its new features, including a complete redesign of the analytics experience, the introduction of agentic analytics, and the importance of a human-centered approach to technology. The conversation delves into the four layers of Tableau Next, the role of AI in analytics, and strategies for building a data-driven culture within organizations. The hosts also share insights from a recent hackathon, highlighting innovative use cases and the potential ROI for businesses adopting Tableau Next. Takeaways Tableau Next represents a significant evolution in analytics. The platform integrates seamlessly with Salesforce, enhancing user experience. Agentic analytics allows for deeper insights without overwhelming users. The semantic layer provides business context to data, making it more accessible. Organizations should focus on building a data-driven culture to maximize analytics adoption. Starting small with proof of concepts can lead to greater success. Continuous analytics will shift the focus from static reports to real-time insights. The human element is crucial in leveraging AI for analytics effectively. Collaboration across departments is essential for a unified data strategy. Investing in training and change management is key to successful analytics implementation. Chapters 00:00 Introduction to Tableau Next 01:18 Overview of Tableau Next Features 03:55 Understanding the Four Layers of Tableau Next 05:37 The Role of Agentic Analytics 17:18 Data 360 and Semantic Layer Insights 21:19 The Human Angle in AI Integration 23:08 Shifting Work Dynamics with AI 26:43 Building a Culture of Adoption 30:25 Creating Trust through Data Visibility 31:36 Maximizing ROI with Tableau Next 34:50 The Future of Continuous Analytics 39:05 Advice for Chief Data Officers 40:50 Conclusion: A New Mindset for Analytics   Links Tableau Tim's Tableau Next Channel Kirk Munroe: So What is Tableau Next? Kirk Munroe: Tableau Next Part 2: Data Cloud & Tableau Semantics   Learn Tableau Next on Trailblazer   Tableau Next Hackathon Grand Prize Winners: (Tableau) Next Question Tableau Next Hackathon Most Creative Winners: team-bratwurst Tableau Next Hackathon Most Impactful Winners: Agentic Analytics Readiness Tableau Next Hackathon Best Design Winners: Transparency in Treatment   Keywords Tableau Next, analytics, data visualization, agentic analytics, data culture, ROI, continuous analytics, Tableau Hackathon

    42 min
  5. D26 One Year In: The Real Lessons Behind Building a Data Consultancy

    NOV 2

    D26 One Year In: The Real Lessons Behind Building a Data Consultancy

    In this special anniversary episode of unDUBBED, Fiona and Sarah celebrate one year of running their data consultancy, Dub Dub Data. They pull back the curtain on the real journey of entrepreneurship - from perfectionism and self-doubt to building a trusted partnership and managing clients with confidence. The conversation dives deep into business growth, data consulting, and the personal transformations that come with leaving corporate life to build something from scratch. Fiona and Sarah share candid reflections on the early decisions that shaped their business, the power of feedback, and how open communication has helped them navigate challenges and strengthen their partnership. They also unpack what it really takes to succeed in consultancy - from setting boundaries with clients to embracing imperfection, redefining success, and learning when to say no. Whether you’re dreaming of launching your own data consultancy or looking to refine your approach to client management and business growth, this episode is packed with practical lessons and real talk from two entrepreneurs who’ve lived it.   💡 Key Takeaways ● Build trust through open communication in partnerships. ● Perfectionism kills momentum - focus on progress over polish. ● Adapting from corporate to consultancy life requires a mindset shift. ● Set and adjust goals regularly to stay aligned and agile. ● Know when to say no - not every client is the right fit. ● Navigating setbacks can unlock powerful growth and resilience. ● Define clear client boundaries from the start. ● Celebrate milestones and the relationships that fuel your journey. ● Feedback drives both personal and professional growth. ● Success is built on authenticity, community, and purpose.   🕒 Chapters 00:00 — Celebrating One Year of Dub Dub Data 02:00 — Foundational Decisions and Early Lessons 05:19 — The Pursuit of Perfection 08:39 — Mental Shifts in Consulting Life 13:16 — Goal Setting and Prioritisation 16:25 — Knowing When to Say No 19:20 — Our Biggest ‘Oh Shit’ Moments 21:34 — Building Success Through Challenges 23:21 — Managing Client Relationships and Expectations 26:02 — Moments of Validation in Business 28:16 — Reflections on Podcasting and Community 32:26 — Personal Growth and Sacrifices 35:12 — Learning Through Feedback 37:48 — Looking Ahead: Growth and Gratitude   TL;DR: Join Fiona and Sarah from Dub Dub Data as they celebrate one year of building their data consultancy. From perfectionism and client management to business growth and feedback, this honest conversation reveals what it really takes to succeed in consultancy and entrepreneurship.

    42 min
  6. D25 Strategic Career Loops: Creating Value Beyond Certifications with Genevieve Hayes

    OCT 24

    D25 Strategic Career Loops: Creating Value Beyond Certifications with Genevieve Hayes

    Summary In this episode of unDUBBED, hosts Fiona and Sarah engage with Dr. Genevieve Hayes, a data scientist and entrepreneur, to discuss the evolving landscape of careers in data science. They explore the shift from traditional career paths to strategic career loops, emphasizing the importance of creating value beyond mere technical skills. Genevieve shares her journey from academia to industry, the significance of expanding roles within organizations, and the necessity of effective communication between technical and business stakeholders. The conversation also highlights the value of micro-credentials, the importance of lifelong learning, and practical advice for navigating career pivots in the data field.   Takeaways The shift from traditional career paths to strategic career loops is essential. Creating value in data roles goes beyond collecting certifications. Expanding your role can create new opportunities within your organization. Effective communication is crucial for bridging the gap between technical and business stakeholders. Quick win projects can help identify opportunities and build momentum. Lifelong learning is vital for career advancement in data science. Micro-credentials can provide targeted skills without the need for extensive degrees. Positioning yourself as a solution to future problems can enhance career prospects. Celebrating successes and communicating value is important for data professionals. Focusing on business skills is more beneficial than solely pursuing technical skills.    Chapters 00:00 Introduction to Data Career Evolution 01:51 Genevieve's Journey: From Academia to Data Science 06:13 Expanding Roles: Navigating Corporate Structures 08:29 Overcoming Hurdles: Pitching New Ideas 11:41 Creating Value: The Role of Data Professionals 14:07 Becoming a Strategic Contributor 18:04 Identifying Opportunities in Data Science 19:49 Understanding Client Needs vs. Wants 23:58 Developing Systems for Ordinary Data Scientists 26:01 Navigating Career Transitions in Data Science 26:24 The Power of Micro-Credentials 29:48 Identifying Future Opportunities in AI 35:58 The Evolution of Career Roles 37:55 The Importance of Communication Skills 40:06 Making Career Pivots 42:19 Common Career Development Mistakes 45:05 Rapid Fire Insights   Links Genevieve Hayes LinkedIn https://www.linkedin.com/in/gkhayes/ Value Drive Data Science Podcast https://valuedrivendatascience.com/    Keywords data science, career loops, value creation, micro-credentials, AI opportunities, lifelong learning, communication skills, career pivots, data professionals, strategic contributor

    48 min
  7. D24 Why Founders Say No A$$hole Policy Works + Other Startup Lessons - Hosted by Matthew Miller

    OCT 5

    D24 Why Founders Say No A$$hole Policy Works + Other Startup Lessons - Hosted by Matthew Miller

    Summary In this episode of unDUBBED, the tables are turned! Matthew Miller - Vice President of Product Management at Salesforce and long-time champion of the Tableau community - takes over as guest host to interview Sarah Burnett and Fiona Crocker, the co-founders of Dub Dub Data. Together, they explore their entrepreneurial roots, early business lessons, and the defining moments that shaped their careers. Expect stories of selling chocolate bars at boarding school, running nightclubs, and rediscovering your superpower in business. The conversation dives deep into: Cultural contrasts between New Zealand, Australia, and the U.S. - and how they shape communication and collaboration. Client relationships that thrive on trust, transparency, and shared problem-solving. The evolution of the data analyst - from dashboard designer to semantic-layer strategist. How AI, Tableau Next, and Model Context Protocol (MCP) are reshaping the future of data visualisation. The no-asshole policy behind Dub Dub Data’s culture - and what happens when values truly drive growth. Dream hires, lessons from corporate life, and how they’d spend a $5M seed fund. Matthew draws out the personal and professional threads that make Dub Dub Data tick - from Fiona’s unrelenting problem-solving and deal-making to Sarah’s people-first storytelling superpower. It’s part origin story, part strategy masterclass, and 100% heart.   Takeaways Matthew Miller hosts the episode, flipping the script on the usual format. Sarah and Fiona share their entrepreneurial backgrounds and influences. Fiona's early experiences include selling chocolate bars and tinting eyelashes. Sarah's entrepreneurial journey began later in life, inspired by conversations with Fiona. Both co-founders identify their superpowers in business and how they complement each other. They discuss the importance of client relationships and the type of clients they seek. The conversation touches on the evolution of the analyst role in data analytics. Cultural differences between New Zealand and Australia are explored. Fiona shares lessons learned from her childhood entrepreneurial experiences. The duo discusses their vision for Dub Dub Data and their approach to funding.   Links Tableau Medium Data - https://youtu.be/fEyrlgcBGzQ?si=O0LP_WjU4zN6GUub Tableau Next Hackathon Entry - Craig Bloodworth - https://youtu.be/j-ie_FPH6OM?si=gCZpLQcJgTbaqIo_ Model Context Protocol in Tableau - Darragh Murray - https://youtu.be/N1qPGS3vkxc?si=1tfI6teJqE1msVF7 LinkedIn - Follow Geoffrey Smolders, CEO Biztory - https://www.linkedin.com/in/geoffreysmolders/ Biztory - https://www.biztory.com/   Chapters 00:00 Introduction and Backgrounds 02:01 Entrepreneurial Roots and Early Experiences 04:13 Identifying Superpowers in Business 06:53 Client Relationships and Business Philosophy 08:50 Navigating Change and Market Adaptation 10:41 The Role of Analysts in Evolving Data Landscape 13:31 Cultural Differences and Personal Insights 28:20 Cultural Nuances in Problem-Solving 30:18 Lessons from International Experiences 30:36 Entrepreneurial Fears and Family Impact 35:03 Building the Dream Team 43:44 Funding Decisions and Company Ethos 49:07 R&D Focus and Future of Tableau 53:00 Data Visualization Insights   Keywords unDUBBED, entrepreneurship, data analytics, Tableau, business philosophy, client relationships, cultural differences, funding, data visualization

    57 min
  8. D23 Cloud-Ready, Stress-Free: Why TabMove is the Fastest Way to Migrate Tableau

    SEP 21

    D23 Cloud-Ready, Stress-Free: Why TabMove is the Fastest Way to Migrate Tableau

    TL;DR: Migrating from Tableau Server to Tableau Cloud is complex, risky, and costly when done manually. TabMove automates up to 90% of migration tasks - cutting timelines, reducing errors, and lowering costs. With Dub Dub Data and Biztory, organisations in Australia, New Zealand, and Singapore gain a proven three-step migration model, local expertise, and fixed-price peace of mind.   Summary Migrating to Tableau Cloud doesn’t have to mean chaos, broken permissions, or endless IT tickets. In this episode of unDUBBED, Fi and Sarah sit down with Timothy Vermeiren - Tableau Iron Viz Champion, consultant, and architect at Biztory - to unpack how TabMove is changing the game for organisations moving from Tableau Server to Tableau Cloud. From automating 90% of the migration work (think users, permissions, schedules, favourites) to cutting timelines from weeks down to days (for smaller migrations), TabMove takes the pain out of replatforming. Timothy shares the biggest blockers companies face, why legacy server setups are holding teams back, and real-world stories like Veygo’s lightning-fast migration. You’ll also hear how Dub Dub Data and Biztory have partnered to bring TabMove to APAC - giving Australia, New Zealand, and Singapore customers local expertise with global best practice. If you’ve ever dreaded the thought of “not another migration,” this episode is your roadmap to a faster, cleaner, and smarter move to the cloud.   Takeaways Manual Tableau migrations are complex, risky, and costly. Tableau Cloud offers lower TCO, better scalability, and access to the newest features. TabMove automates up to 90% of the migration workload, including content, users, groups, and permissions. Timothy’s three-step delivery model - scoping, workshop, delivery - de-risks projects and ensures success. Dub Dub Data and Biztory are partnering to deliver TabMove migrations across Australia, New Zealand and Singapore.   Chapters: 00:00 Introduction to Migration Challenges 01:18 Meet Timothy Vermeiren and TabMove 02:56 The Case for Migration to Tableau Cloud 04:58 Understanding the Benefits of Tableau Cloud 06:43 Challenges of Manual Migration 08:44 Hidden Costs of Legacy On-Prem Solutions 10:11 Automation with TabMove 12:43 Managing Permissions and User Access 23:56 Automating Migration Processes 26:54 Understanding Migration Challenges 28:45 Comparing Migration Tools 35:46 Case Study: Veygo's Rapid Migration 38:29 The Role of Tableau Administrators 41:27 Customer Outcomes Post-Migration 44:37 Three-Step Delivery Model 51:00 Ongoing Support After Migration

    56 min
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About

Unscripted. Uncensored. Undeniably data! The podcast where data dreams get real! We're breaking down the secrets of data brilliance, diving into the messy & magical moments of data life, from AI to simple reporting, sales and data careers. Nothings off the table! Join us for stories, insights & a few laughs with innovators from around the world. If you're ready to unmask the data game, this one’s for you!

Information

  • Creator
    Fiona Crocker & Sarah Burnett | co-founders, dub dub data
  • Years Active
    2024 - 2025
  • Episodes
    29
  • Rating
    Explicit
  • Copyright
    © 2025 dub dub data
  • Show Website
    unDUBBED