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We’re excited to introduce QuickViz, a series of bite-sized Power BI visual challenges designed to make learning, sharing, and creating with data fun - one visual at a time.
Each week, we’ll post a new mini-challenge. These contests are perfect for anyone looking to practice skills, explore new visuals, and engage with the Fabric community - all without committing to a full report.
QuickViz contests are designed to be simple and fun exercises:
Minimal time investment: 30 mins to an hour per challenge
Single visual focus: Bar chart, matrix, line chart, or any single visualization
Educational & fun: Learn as you create
Easy to share: Perfect for sharing your expertise here in the community or on social media
Week 1: Check out the instructions at - Raise the Bar
Open: Nov 7, 2025
Close: Nov 13, 2025
Focus: Bar chart: show a simple comparison
Challenge: Create a bar chart that tells a compelling story - whether it’s ranking, comparison, or trend. Experiment with colors, formatting, and sorting to make your insights shine.
Winners: Congratulations to the week 1 winners! You'll receive a PM from us with info on how to redeem your prize!
Open: Nov 14, 2025
Close: Nov 20, 2025
Focus: Line chart: show change over time]
Details coming soon.
Details coming soon.
Everyone is welcome to participate!
Build your visual in Power BI.
Submit your screenshot and .pbix file in the QuickViz gallery
🏆 What's at stake?
Winners will be featured in the QuickViz gallery, in the winner blog post, and will recieve Fabric swag! This contest is entirely community driven - so - the entries with the highest number of likes/kudos each week will win.
How does voting work?
Voting opens when submissions open, and closes at the end of the week, on Fridays (at 8am Pacific). Winners will be announced at the end of the week! That means, the earlier you get your viz in, the longer people have to see it and vote! Get your friends and colleagues to join the community and cast their votes.
It’s fast, fun, and a great way to practice, showcase, and connect with other data enthusiasts.
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