Overcoming the Barriers to Hiring a Culturally Fit Talent
During the hiring process, once the talent with the “absolutely required” aptitudes is found, it’s imperative to understand if the individual would work well within a given environment, and that is one of the most critical aspects of what we do—recognizing if the person can culturally fit within a particular ecosystem to help in the overall success of the organization and the candidate.
During a discussion with a hiring manager of a Fortune500 company, he specified about one of the applicants who—within five months into the process of hiring—was found culturally unfit, as well as disruptive in nature, leading for the loss of another experienced top talent in the organization. In another discussion with one of the top franchise companies, they mentioned that 70 percent of the time spent by franchise managers goes in hiring and training processes. A common pain point for many Fortune 500 companies and franchises is, finding the right cultural fit, in a way which is seamless, unbiased and tamper-proof. Presently, this happens via onsite interview processes or when the candidate goes through assessments, which, if attempted a few times, is easy to score. This is where our AI platform comes in; it not only enables the company to hire the best fit, seamlessly and in real-time, it also does it without even asking a single question, which makes it a more tamper-proof hiring strategy. From a hiring perspective, when we deployed our solution, we spare two months of time on an average and remove 80 percent of subjectivity to hire a person with cultural fit.
Enabling Organizations to Engage and Retain Talents
With broad research in the initial three years of dotIn’s founding, we were able to gain insights on users’ personalities and the specific roles that could drive them; the research enabled us to build a solution that could identify a candidate’s learning style, working style, and his compatibility with people around.
Our AI platform allows companies to hire a best cultural fit talent without asking a single question. It also helps an applicant (talent) to find the right job matching with their personality. Win-Win for both, company as well as the talent
Flexibility in Building the Best Possible Solution
Our way of approach to grow quickly in the enterprise sector is by building SaaS solutions that can be seamlessly integrated. We consciously focus on enabling our solution’s features within an existing ecosystem through APIs, allowing organizations to integrate the API as a part of their standalone product lines and use them for employee engagements. It could be an API service for integration into their existing system or if a business wants a complete platform—a web interface, or a mobile application—based on the business needs, our solutions are flexible.
Interesting Areas where dotIn Solutions are Deployed
We have deployed a solution for the California State University for talent engagement, based on understanding patterns of images a user likes. We’re also actively working with a Fortune5 company from Japan, who shall be using our product with CISCO Spark, a next-gen collaborative platform. Our offerings focus on understanding employees and enabling the platform to be smarter, to connect with the right people, and to have the right training curriculum.
There are multiple areas, where our solution can be utilized, including petroleum, retail, education, media, petroleum, and sports industries, among others. We also have clients from healthcare sector; in one of the cases, obese users got healthier, proving how the solution could positively change the behaviors of a user.
Evolving with the Expectations in the HR Space
HR is an area that is going to be extremely sensitive because it is about dealing with human emotions, which is never easy. The disruption is bound to happen where users, for example, don’t have to search for a job; solutions will help them on how to apply for a job and how to be successful within that job once they get it. We see AI and machine learning assisting that process where a lot more automation will be brought in.
dotIn will continue to improve the intelligence in its solutions, and we are working toward understanding the personality of users through multiple aspects of digital assets. With experts from data science and psychology areas and developers who have built billion dollars SaaS platforms, we are all motivated to drive each other toward achieving the vision.