Skip to content

Latest commit

 

History

History
53 lines (36 loc) · 2.56 KB

instructions.md

File metadata and controls

53 lines (36 loc) · 2.56 KB
Raw

Welcome Frontend Product Exercise

TIMEBOX:    2-3 hours max. We mean it!
LANGUAGES:  Javascript
FRAMEWORKS: React and any libraries you want
TESTS:      nice to have, but not mandatory
DOCS:       nice to have, but not mandatory

Overview

This exercise is to implement the best possible solution to one of the exercises below in the time alloted. We're evaluating your ability to take a set of requirements and spike a holistic solution that demonstrates craftsmanship, thoughtfulness and attention to user experience. This is NOT a test of how well you know React or ES7+, nor should you try to impress us with overly clever and obtuse solutions. If you want to impress us, build something that is beautiful, intuitive and easy to debug/test/extend 😃 .

Ideally your solution would have some way to run locally and visualize the results in a browser so we can fully analyze the experience and not just the source code.

Choose One Of the following

Exercise A: Creating an offer

As a hiring manager I want to

  • Create a a new offer of employement
    • Specify the monetary compensation details of an offer (salary, equity, bonus, etc)
    • Specify non-monetary compensation and benefits (culture, learning opportunities, etc)
  • See a list of the offers I've created
  • Share a link to an offer via a unique URL

As an employee receiving an offer I want to

  • View an offer that was sent to me
    • stretch goal: Ask a question about the offer (ideally a subsection of the offer)
  • Understand the non-salary compensation I am being offered (stock valuation, value of healthcare benefits)
  • See detail about the role, team, and organization

Exercise B: Visualizing Compensation and Benefits

As a HR-team member I want to

  • "Upload" a CSV/JSON file with my the compensation data of my current organization
    • NOTE: You don't need to create an API around file storage/IO. Use any/all of the sample files in /shared/salary_datasets or create your own simple faked data set.
  • View the data in a simple tabular view
    • stretch goal: be able to sort or search by any unique identifiers (name, email, etc) so I can find specific rows
  • View simple visualization(s) of the distribution of salary compensation so I can get an overview/aggregate of overall compensation
    • stretch goal: be able to visualize data across more than one dimension

Submitting your exercise

  1. See instructions for submitting your work