Interested in learning what's next for the gaming industry? Join gaming executives to discuss emerging parts of the industry this October at GamesBeat Summit Next. Register today.

Traitify (previously Woofound), which taps AI and machine learning to perform job candidate assessments, today announced it has raised $12 million. The bulk of the funds will go toward product R&D, the company said.

Personality assessments often inform hiring decisions. According to a Human Resource Management survey, 22% of corporate respondents require would-be employees to complete such assessments. The motivations are obvious — workers who identify with a workplace culture tend to be happier, experience greater job satisfaction, and stick around longer. But not all tests are created equal. Some, like word association tests, measure a person’s temporary mental state, as opposed to enduring traits.

Traitify claims to provide a superior solution in its visual tests, which serve up pairs of images and questions that collect hundreds of data points in 90 seconds. They’re designed to be delivered via email, social media, or a website and taken on a smartphone, and they personalize to swarms of candidates with customized fit scores.

It’s something of a pivot for the company, which initially developed a product to guide college students toward courses and clubs relevant to their career interests. Traitify also built a movie recommender internally and considered launching an app in the social space, but after working with local governments to connect the unemployed with jobs, it decided to rebrand and pursue staffing and recruitment use cases.


MetaBeat 2022

MetaBeat will bring together thought leaders to give guidance on how metaverse technology will transform the way all industries communicate and do business on October 4 in San Francisco, CA.

Register Here

Using Traitify’s platform, customers can focus on traits supposedly independent of socioeconomic bias (like education level, native language, and device access). The machine learning algorithm that underpins the test combines performance with personality data, prioritizing applicants who match top performances and adapting matches with new batches of data.

Why images? Traitify says they enable test takers to not only answer quickly, but more honestly — its tests have a 95% completion rate and ostensibly avoid the Hawthorne Effect, when test takers answer questions the way they think they should. The startup also asserts that images are accessible to imperfect readers and that they largely eliminate the need for language translation.

These are lofty claims, to be sure, but Traitify says it runs dozens of studies with thousands of participants to validate the stability of its tests, which build off Holland’s interest inventory. This is a model for categorizing and understanding people’s interests within the “big five” personality traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism). The company has also compared its tests’ precision with career interest inventories like BFI and IPIP-NEO, finding that their validity for “big five” traits ranges from 0.52 to 0.75, which is comparable to other questionnaires.

Traitify’s platform extends beyond talent acquisition into recruitment marketing and employment branding. It’s able to give candidates personality insights before they apply to opportunities and use trait and career interest data to personalize their experiences. For example, Traitify offers a recommendation engine that maps traits to jobs and drives various applications. On the onboarding side, the platform gives new hires suggestions for growth while allowing managers to build project teams based on those individuals’ traits.

Traitify says that with its tests, brands like Coles Supermarkets, McDonald’s Canada, Coca Cola, Marco’s Pizza, and over 200 others have doubled their respective talent networks year-over-year and cut cost per hire in half, on average. “In the current business climate, HR teams are receiving an influx of applications, requiring them to sort through hundreds, if not thousands, of applicants, and sometimes causing systems to crash. This leads to stress for both the organization and the candidate,” CEO Dan Sines said. “Traitify is helping teams navigate through this influx and providing them with necessary data at scale to find the best candidate for their needs.”

Traitify’s competitors include Plum, which has job candidates fill out problem-solving and personality tests that award points for “talents” like adaptation, communication, inclusion, and innovation. Another rival, Vervoe, offers AI tools that test would-be employees’ on-the-job skills with a mix of general assessments, coding challenges, and personality quizzes recruiters can swap out and customize as needed.

Baltimore-based Traitify, which was founded in 2011 by Sines and Joshua Spears, has raised over $20 million to date. JMI Holdings led this series B, which follows a $1.3 million venture round in August 2015 and a $4 million series A in July 2014.

VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.