<iframe width="100%" height="400" src="https://supercut.ai/share/zheniavasiliev/zEjTM6lrjXqxgBCJYF_PYC?embed=full" frameborder="0" allowfullscreen> </iframe> ## How I Created a Data-Driven Infographic on Solar Homes, Blockchain, and AI Energy ### Project Overview I led the end-to-end design of a long-form infographic exploring the intersection of solar-powered homes, blockchain tokenisation, and the rising strain of AI infrastructure on global energy grids. What began as a rough content idea evolved into a multi-format storytelling artefact—with deliverables tailored for LinkedIn carousels, investor decks, and long-scroll web formats. This was a deep-dive into visualising complex systems, built from scratch using a research-led and iteration-heavy design process. --- ### Starting with the Brief The project kicked off in Jira, where I created a detailed ticket outlining the goals, audience (investors, insurance companies, energy professionals), and format constraints for each version of the graphic. This is also where I captured all early discussions—such as technical requirements for LinkedIn carousels and clarifying what kind of messaging would resonate with an investor audience. ![[Screenshot 2025-09-03 at 20.11.06.png]] *Jira ticket screenshot.* The central question I needed to answer visually was this: *How do the economic benefits of solar battery home investments via RWA tokenisation compare to traditional energy infrastructure under increasing AI energy demand?* That single question anchored every design and storytelling decision that followed. --- ### The Research Layer Because this was a high-stakes, unfamiliar topic, I invested significant time in upskilling myself fast. I used **Elicit**, an AI-powered research tool, to structure an academic literature review. It helped me discover relevant papers and summarise them by investment model, grid impact, and real estate dynamics. In parallel, I built out a **Google Doc with multiple tabs**: - Title and intro variants - A working script - Slide-by-slide breakdown: title, visual type, context, and citations - A source list for all datasets and graphics This became a shared working document with the client, letting us iterate quickly before committing to design. ![[Screenshot 2025-09-03 at 20.12.16.png]] *Google Doc outlining the content for the infographic slides.* --- ### Moodboarding the Visual Language Next, I opened Illustrator and began crafting a visual mood board. This included: - Charts and data styles from McKinsey, Reuters, and AI impact reports - AI-generated imagery using *Sora*, based on my references - Sample iconography and potential illustration styles The goal at this stage was to define tone and texture: clean, professional, and investor-ready. The client opted for a muted palette—greens, blues, and dark tones—with fewer playful graphics and more emphasis on clarity. ![[250623_finaventures_infographic_moodboard.pdf]] *Illustration and Data Moodboard.* --- ### Sketching the Story Rather than diving straight into visuals, I created **hand-drawn pencil sketches** for the full infographic. These quick, rough layouts allowed me to map the entire narrative structure: - Section headers and narrative beats - Types of visualisations (bar, stacked, line, flowcharts, spike diagrams) - Layout rhythm and transitions Pencil sketches are the easiest place to iterate. I swapped visual types, changed chart styles, added callouts—all without opening Illustrator. ![[250702_Finaventures_LI_infographic sketch.jpg]] *Finalized infographic pencil sketch.* --- ### Digital Iteration in Illustrator Once the layout felt solid, I created digital drafts. The process looked like this: - V1: Live text over pencil-sketched visuals - V2: AI-generated and moodboard-sourced graphics dropped into layout - V3+: Custom vector illustrations replacing placeholders Each version was saved with daily timestamps (June 15 to Aug 27) to track progress, delays, and client revisions. I also used grid overlays to align visual elements and maintain hierarchy across formats. ![[250814_finaventures LinkedIn infographic tokenisation.jpg]] *Final version of the infographic.* --- ### Refining for Multiple Outputs After finalising the long-scroll infographic, I adapted it into: - A **LinkedIn carousel** (square format) - A **PowerPoint deck** (investor pitch adaptation) This required careful reflowing of layouts—especially callouts and diagrams that didn’t fit the new aspect ratios. I created alternate visual versions where needed (e.g., turning bar charts into column stacks) and retested legibility at multiple sizes. ![[250827_finaventures_infographic_linkedin slides.pdf]] *A version for the LinkedIn carousel.* --- ### Final Visuals and Delivery The final result includes: - Custom illustrations of solar homes, batteries, and AI data centres - Bespoke charts showing energy demand trends and investment returns - Icons and vector assets built from scratch All files were delivered in multiple resolutions and formats. The project took **96 hours over 13 working days**, with substantial gaps for client input and revision. --- ### Final Thoughts This project was a perfect example of why infographics aren’t just about visual appeal—they’re about orchestrating clarity, narrative logic, and layered expertise. If you’re working on a high-concept topic and need someone who can bridge the gap between research and design, this is the kind of process I bring to the table. ## Contact For further inquiries or project collaboration, reach out via the portfolio contact form or provided email. <a href="mailto:[email protected]" style="text-decoration: none;"> <button> Get in touch </button> </a>