“Can you build us a management dashboard?” Most Power BI projects start exactly like this, with a vague request and the expectation that the developer will somehow turn it into something insightful, beautiful, and easy to use. Too often we jump straight into Power BI and start dragging visuals onto a canvas. The result is dashboards that look cluttered, inconsistent, and difficult to scale. This session takes a different approach: design first, build later. Starting with a typical stakeholder request, we will walk through the process of designing a Power BI dashboard from scratch using wireframes. Together we’ll decide what belongs on the page, how information should be prioritised, and how layout, colour, and typography influence the way users read data. Along the way we’ll explore questions that good report designers ask before opening Power BI: Why are we using these colours? Is the design accessible and readable for all users? How will this layout scale when more pages or reports are added? How do we turn stakeholder requests into a structured visual plan? By the end of the session we will have produced a complete dashboard wireframe and a repeatable design approach that can be applied to any Power BI reporting project. What You’ll Learn How to translate stakeholder requests into structured dashboard wireframes How to design layouts that prioritise clarity and usability How colour, typography, and spacing affect data interpretation How to design reports that scale across multiple dashboards and teams Key Takeaways A repeatable wireframing process for Power BI report design Practical design principles you can apply before opening Power BI Techniques for creating dashboards that are clearer, more accessible, and easier to scale

AI isn’t here to replace Power BI developers, it’s here to make us dangerously efficient. And while everyone is talking about Copilot, the reality is that ChatGPT, Claude, Grok, and even Gemini can massively accelerate modelling, DAX writing, documentation, design, debugging, and stakeholder communication. This session is a hands-on, example-packed tour of AI workflows that Power BI people can use today. I’ll show the prompts I genuinely rely on: generating DAX variations, validating logic, rewriting gnarly measures, designing report layouts, creating SVG wireframes, summarising datasets, explaining model choices, generating test data, accelerating requirements workshops, and even turning stakeholder rambling into structured acceptance criteria. This is not hype. This is not “AI will change everything.” This is the actual prompt pack that saves hours, improves quality, and makes you feel like you have a junior developer, a documentation assistant, and a design coach sitting next to you, without the HR paperwork. Key Takeaways Practical AI workflows to supercharge modelling, DAX, and design. When to trust AI — and when not to. The exact prompts you can steal and use immediately. How to blend AI + Power BI + Fabric for faster delivery and clearer insights.