Nov 18, 2021
Hello! GoGo is a fully remote, profitable company on a mission to help older adults age independently in their homes. We currently serve 50,000 clients a year and are looking for someone that can help evaluate and iteratively improve some of our core business metrics, starting with our retention.
About the role
We've done work on this over the last few months and were able to make some progress (like dashboards, some early stage metric goals and a list of 100 or so ideas to meet those goals) but as we moved to implementation, we started to slip on the rigor required in A/B testing and that was when we realized we needed someone who could own this. This role would report to the CEO, but would touch most of the tea
Working at GoGo
We are a fully remote gig and work with people that live and move around the world, so there is always someone online (the sun never sets on GoGo!).
- you need to know MySQL. You don't need to be an expert, but you should feel like you can quickly look up anything you might need and understand how it works. We don't currently use any intermediary tools for data analysis, but if you have some favorites we're all ears. We need someone that can pull data themselves though, no bottlenecks!
- you need to be comfortable with spreadsheets. you should be able to create graphs quickly, use keyboard shortcuts, formulas, etc
- you need to know how to run a strong a/b test: for example, you should be able to explain under what conditions (if any!) it would be okay to call the June cohort the control group and July the experiment group.
- you should have a process for generating retention ideas - if we move to an interview this is what we'll ask you about!
The first round is with our cofounder. Then we'll give you a small 2 hour take home case prompt. After that we'll do reference checks and finally you'll be asked to meet the team.
Here is a quick description of the case: We'd like to offer a one time discount to clients in a certain cohort to move them to a different cohort. We are trying to calculate the discount we can afford based on the longer retention we predict that client will have. You'll need to figure out the numbers: the expected longer retention, the value from that retention and the discount we can offer under those constraints.