The growth engineer position requires mad coding skills and a growth hacking mindset.

For this test, we're trying to gauge a few of your key skills:
• Ability to understand funnels, cohort charts, experiments and growth metrics
• Critical thinking skills

We're not looking for any specific 'right' answer, so feel free to think outside the box and make use of your creativity.

Before answering the questions, spend a few minutes playing around with the mobile app 'Invoice Simple' (either on Android or iOS).

Out of respect for your time, we ask that you spend no more than 2 hours on this task. Once complete, please send your work to careers@invoicesimple.com written in a Google doc. If this is your first time emailing us then include your resume and the role you're applying for.

Questions

1- This is our mobile onboarding funnel.

The 'Onboarding start' event is triggered the first time users open our app. They then go through a series of onboarding steps, one of which is adding their business logo. Adding a logo is an optional step. Finally users trigger the 'Finished first invoice' event when they complete onboarding and finish their first invoice.

• What test would you recommend running to improve our onboarding funnel? Where would you focus?

• Can you say that if we force everyone to add a logo we'd get more people finishing their first invoice? Explain your answer.

2- This is our weekly retention chart.

• Jan 1st, week 2 has a pretty poor retention rate. Why do you think that is?

• Week of Dec 18, week 1 has a lower than normal retention rate, why do you think that is?

• The last row, Nov 20th, week 1 has great retention numbers. Why do you think that is?

• What would you say our week to week retention rate is?

3- You've implemented a new onboarding flow, with the hopes of increasing number of people creating a first invoice.

• How would you go about measuring the impact of your changes? Give specific details about your approach.

• Assuming that we've got 100 new users installing the app every day, how long would it take for your findings to be reliable? Explain your thinking and assumptions.

Submission

Please write your answers in a Google doc and share the link via email.