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HIVE.AI FOR CANDIDATE AND JOB MATCHING

HIVE.AI FOR CANDIDATE AND JOB MATCHING

HIVE.AI FOR CANDIDATE AND JOB MATCHING

Hive was a start up finding a better way of matching people and jobs.
This product was meant for recruiters to manage talent search and job listings and for consumers to manage job searching using AI for increased accuracy and speed.

CONTRACT

HIVE.AI

ROLE

UX/UI DESIGNER

RESPONSIBILITIES

RESEARCH, UX DESIGN, TESTING

YEAR

2018

HIVE.AI

HIVE.AI FOR CANDIDATE AND JOB MATCHING

THE BRIEF

Hive parses data and extracts and categorizes information using synonyms, ontologies, company and resume historical data, listing information, skills, location and competencies to create a weight system.

Hive parses data and extracts and categorizes information using synonyms, ontologies, company and resume historical data, listing information, skills, location and competencies to create a weight system.

We pivoted into a SaaS that taps into other portals APIs like Glassdoor, ZipRecruiter, LinkedIn to leverage their posts and candidates.

We pivoted into a SaaS that taps into other portals APIs like Glassdoor, ZipRecruiter, LinkedIn to leverage their posts and candidates.

TWO SIDES OF A PORTAL

  1. For employers searching for candidates

  1. For candidates searching for jobs. Both portals had similar architecture and same UI.

  1. For employers searching for candidates

  1. For candidates searching for jobs. Both portals had similar architecture and same UI.

"EVERY JOB IS UNIQUE AND EVERY CANDIDATE IS DIFFERENT".

A quote from Cynthia, HR Manager

At the time of this project, recruiters preferred passive candidates and that drove our decision to tap into APIs of existing pools of candidates and job posts.

At the time of this project, recruiters preferred passive candidates and that drove our decision to tap into APIs of existing pools of candidates and job posts.

THE RESULTS

COMPLETED THE JOB MATCHING FLOW

COMPLETED THE JOB MATCHING FLOW

83%

83%

83%

CONSIDERED MATCHES RELEVANT

CONSIDERED MATCHES RELEVANT

9 OF 10

9 OF 10

9 OF 10

SAID DASHBOARD IS EASY TO SCAN

SAID DASHBOARD IS EASY TO SCAN

80%

80%

80%
THE OUTCOME

This project was an exciting deep dive into the world of AI—a space I had little experience with at the time. Learning how to translate complex technology into a seamless user experience pushed me to rethink assumptions, iterate often, and stay curious. By closely observing users and developing detailed personas, we stayed grounded in what truly mattered, guiding every decision we made in building the interface.

This project was an exciting deep dive into the world of AI—a space I had little experience with at the time. Learning how to translate complex technology into a seamless user experience pushed me to rethink assumptions, iterate often, and stay curious. By closely observing users and developing detailed personas, we stayed grounded in what truly mattered, guiding every decision we made in building the interface.

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