
The year is coming to an end and we are wrapping up with a whole bunch of new features and improvements. Our focus has been on enabling even more teams to be able to use Steep as well as new ways of gaining insights from your data. A big thanks to all of you for this year! Let's get to the news.

Find just the right widget to represent each metric on your dashboard. This month we have added two new widget types to your toolbox, enabling more customization and a more dynamic dashboard. Any widget with a bar graph now has a Line graph alternative. Just swipe right in the widget settings. Want to focus on the numbers? Use the new Big number widget.

What share of our user base do we cover with our top three markets? How does our top performers compare to our bottom ones? You can now answer these questions and more with our new powerful Rank visualization!
Flip between time series and Rank to visualize a metric with a vertical dimension breakdown. Values and percentages to the right gives you easy insights, and time period selection works beautifully. As intuitive as it is powerful, this much asked-for feature is available now.

Overlay any two metrics with just a click to easily see correlations and trends. Just expand the Compare to section and select a metric to get started. It works great with both bar graphs and line graphs. Finding patterns across your metrics have never been easier.

You can now create custom metric definitions with SQL for when the built-in templates are not enough. This lets you add virtually any type of metric to Steep. Create a new metric and chose one of the new templates - Custom value with a single SQL expression - or Custom ratio to divide one value with another. Combined with our live preview feature, this makes setting up tricky metrics a breeze.

And finally for all teams running on Microsoft - we have added support for Microsoft SQL Server and Synapse to our list of supported databases. Together with BigQuery, Snowflake, AWS and PostgreSQL, Steep now supports the vast majority of data setups.
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