Before I went through the Tableau Track, I had to manually gather user data and create visualizations every time we launched a new feature. With the skills I learned and the dashboard I built, I can now update it with new user data on-demand and instantly see how our users are responding to each feature.
Save Time Using Automation to Measure Feature Adoption
The Problem:
Zoe is on the Clair product team, and after every feature launch analyzes how Clair’s users respond to them.
Before Enki, collecting the necessary data involved manually gathering user data and creating visualizations each time a new feature was launched.
Enki’s Solution:
Using the skills she learned from Enki's Tableau track, Zoe built a dashboard that shows what percentage of users are using each feature.
Instead of manually retrieving and manipulating the data, she can now instantly update the dashboard with new user data instantly on-demand.
The Results:
This automation has saved Zoe 3 hours of time every week that would have otherwise been spent manually gathering and manipulating the data each time a new feature was deployed.
This works out to approximately $8,000 in lost time being saved every year.
Having that friendly technical colleague by your side at all times isn’t cheap! But our software allocates their time in a way that makes it 10X more cost-effective than if it was all offline.
