Universum Global

Universum Global is a world-class, multi-faceted international corporation that helps students and professionals find career opportunities

Technologies

Ruby on Rails, React

Industry

HR Tech

Engagement Model

Dedicated Team

Platform

Web

Team

5 members

Timeline

2 years

About the project

Improving the survey system that offers respondents (both students and professionals) to answer its questions and determine their archetype.

Among other solutions, the project provides the following:

Challenges to overcome

One of the primary objectives was to improve the survey system that offers respondents (both students and professionals) to take a survey to determine their archetype (Leader, Internationalist, Idealist, Hunter, Harmonizer, Entrepreneur or Careerist).

After passing the survey, a respondent is redirected to their page to see career-related information based on the survey results, e.g., the best employer to choose, the average salary in a specific field, etc.

The main challenge was that the system relied on a paid third-party service with a custom API using prediction.io. Because of it, processing queries took a lot more time than it was supposed to.

Also, there was a problem with updating the recommendation system: new data could be imported only in manual mode.

Our work

Before implementing significant functionality changes, we first refactor the code base and cover it with tests. After that, we proceeded to survey system improvements.

Next, the service was replaced with Elasticsearch, accompanied by complex logic to aggregate data and output results. Integrating Elasticsearch directly, we ensured that the system could receive and operate the newest data.

Finally, every piece of newly-implemented functionality was thoroughly tested.

We worked on the following Universum projects

Atribot (Iris)

A social coding stack. The platform integrates with external web resources to grab posts. Users can ark/tag them with custom marks/tags. In addition, Attribot allows viewing/exporting reports based on user tags. Finally, Attribot provides an API to access posts from social networks and social media analytics for third-party applications.

Talent Radar

Talent Radar was initially designed as the Heroku-based marketing system for creating targeted email campaigns. Users can import data, filter subscribers, and schedule send-outs at a specific time and date. The system’s main features include the ability to track campaign execution progress, restart on fail, campaign A/B testing, and real-time campaign statistics. To achieve atomic and stable performance, we rewrote 22 000 lines of code.

TOP 100

Universum TOP 100 is a service where you can find the most attractive employers from all over the world. This is also a place for employees to share their own stories and experiences. Our team was helping Universum with maintaining the first version of this service.

Nebula Users

Nebula Users is the central storage and authentication service for the Nebula system. Other applications (such as Attribot) are using this platform for authentication.

Business results

We’ve completed the project and enjoyed the following results:

Fully refactored, the survey system is now smooth like never before.
Moving from the slow, paid third-party service to Elasticsearch allowed our client to significantly reduce expenses on the system maintenance and provide a much better survey experience to the Universum Global respondents.
We created Ansible recipes to manage AWS servers used for storing applications and their data.
We performed migrations between Heroku and AWS, updated data storage software, and made other changes such as introducing a marketing campaign to encourage respondents to pass other surveys.