🎓 Meta Analysis : July release

Meta-analysis/Metric Correlation View

We're rolling out the second in a series of new views that enable meta-analysis across your corpus of experiments. This lets you visualize and scan for correlation across metrics.

When to use it

Often the metric you want to move isn't very sensitive and takes a while to measure. It is helpful to find metrics that are more sensitive and faster to measure - and run experiments on this.

This view lets you plot two metrics on the same chart - each data point is an experiment's impact on them. You can quickly get a sense for whether the metrics tend to move together - or not. You can also remove outliers, filter down to a team's experiments or download the underlying dataset.

In this hypothetical example - "Checkouts" is the metric you want to move, but it's not very sensitive. "AddToCart" correlates well with "Checkouts", while "ViewItemDetail" doesn't.

Also see - Meta-analysis Experiment Timline View.

(Reach out in Slack if you'd like to get early access to this)