This is the hiring assignment for the Technical Account Manager (TAM) Team at Algolia. It’s intended to mimic work you might do here, while giving us an understanding of your skills in:
- Problem Solving
- Coding
- User Experience
- Communication
If you want to know how we will judge the assignment, you can view our scoring rubric.
Please spend no more than 4 hours on this assignment, everything you need can be found in our public documentation.
Once done, please:
- host the front end on github pages (or an other tool we can access) and provide us a link to your demo along with the source code
- grant our team "read" access to your index at this link
- share any considerations that influenced how you built your demo or answered the customer questions
Our customer, Spencer and Williams, wants to implement a federated search experience which includes both products and query suggestions in the autocomplete they provided. They have asked for us to create a demo of this behaviour in their provided codebase.
Spencer and Williams have provided the raw product data and have asked for us to create the suggestions using Algolia's query suggestions feature.
Please answer example customer questions in the questions directory.
First you'll need to sign up for an Algolia account @ https://www.algolia.com/users/sign_up.
You can find the product dataset in the data folder inside this repo. You will need to push this data to Algolia in your own application and connect the app to the dataset in both components.
You can create a Query Suggestions index from your Algolia trial account following our documentation.
Everything you need to complete this assignment can be found on algolia.com/docs.
To run this project locally, install the dependencies and run the local server:
npm install
npm startAlternatively, you may use Yarn:
yarn
yarn startOpen http://localhost:3000 to see your app.
| Did the candidate: | Yes | No |
|---|---|---|
| Follow the instructions of the assignment? | ||
| Write code that follows best-practices? | ||
| Avoid over-engineering? | ||
| Demonstrate understanding of the code they wrote? | ||
| Demonstrate good code and process organization? | ||
| Craft a search experience that is simple to understand? | ||
| Account for different use cases (e.g. mobile, touch) | ||
| Complete the assignment in an efficient manner? | ||
| Go beyond what was asked of them? | ||
| Ask for clarification when necessary? | ||
| How long did the candidate spend on the assignment (in hours)? |
| Did the candidate: | Yes | No |
|---|---|---|
| Answer the questions correctly? | ||
| Answer in a succinct manner? | ||
| Have minimal spelling, grammar, or formatting mistakes? | ||
| Employ a friendly, helpful tone? |
| Does the candidate demonstrate being in the top 10% of: | Yes | No |
|---|---|---|
| Technical aptitude | ||
| UX | ||
| Communication skills |