GrowthBook Launch Month - Week 2

This week we're launching Insights, which includes a new Executive Dashboard, searchable experiment learnings, timeline visualizations, and deep metric analysis.

· 2 min read
GrowthBook Launch Month - Week 2

This week is all about Insights, the brand new section in our sidebar.  In there, you’ll find a revamped Executive Dashboard, new Learnings and Timeline pages, plus some powerful metric analyses to help you get the most out of your experimentation program.  This section becomes more useful the more experiments you run, so if you needed an excuse to run more tests this is it!

Executive Dashboard

The brand new dashboard gives you a 10,000 foot view of your organization’s experimentation program.  Quickly see your team’s velocity, win rate, and impact.  Enterprise users can also select a metric and see the cumulative effect from all the experiments that were run.  Everything can be filtered by project and date range.

Learnings

The Learnings page is a searchable knowledge base of every experiment your team has completed.  For each experiment, see the winning variation, a summary of results, and other key details.  This page is a great place for new team members to learn about what has been tried and what has and hasn’t worked.

Fun fact: This was the original reason we started GrowthBook and how we got our name. We envisioned a digital book of everything you’ve learned about growth.

Experiment Timeline

The Timeline page lets you visualize when experiments were running in relation to each other.  Experiments are color-coded by status (running, won, lost, etc.) and split up by phases.  This is a valuable tool for managing your experimentation workflow, identifying bottlenecks in your process, and planning future tests.

Metric Effects

Do a deep-dive for a given metric and see the range of effect sizes from all the experiments that included it. Use this to learn how easy/hard it is to move your metric in general and see which specific experiments had the biggest impact (both good and bad).

Metric Correlations

GrowthBook Metric Correlations interface showing a scatter plot comparing 'Page views per visit - logged in user' (x-axis) with 'Purchases - Average Order Value (ratio)' (y-axis). The chart displays several purple data points with confidence interval lines, suggesting a positive correlation between the two metrics. Dropdown menus at the top allow users to select different metrics for comparison.

See how any 2 metrics tend to move in relation to each other within experiments.  This is especially useful for identifying proxy metrics that are highly correlated with your long term goals, but can get you results much faster.

We hope you find these new pages useful and we look forward to hearing your feedback. See you again soon for our Week 3 launches!

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