Case Study: Super Obvious increases learning time without sacrificing delivery with Multitudes

Super Obvious increases learning time 5% while maintaining 20 PRs per month with Multitudes

The customer, Super Obvious, is a company that makes it easy to invest in ethical companies. Its challenge was finding a way to increase dedicated learning time for its engineering team without sacrificing delivery output, a key concern for gaining leadership buy-in. To support their case, they used metrics from Multitudes.

Multitudes provided the solution by enabling the team to track their Merge Frequency, a metric showing the volume of work output. By using Multitudes to monitor this data, Super Obvious demonstrated that delivery was maintained at 20 pull requests per person per month despite a 5% increase in learning time. This data-informed approach proved the initiative's success, resulting in high team morale and tangible product improvements.

Super Obvious