Qualifying candidates with a recruitment chatbot: New way of filtering candidate and streamline recruitment process
Web: https://www.techceptron.com
Linkedin: https://www.linkedin.com/company/techceptron/
Facebook: https://www.facebook.com/techceptron/
Twitter: https://twitter.com/techceptron
To solve our client's challenges, we needed a recruitment chatbot that
qualifies candidates earlier on in their application journey,
prioritise the number of CVs that land on the team's desk, and,
provides an experience that reflects our client's values.
Qualifying candidates through a conversation
The recruitment process at a mid-size company with this many vacancies and this much applicant traffic is complex.
We encouraged our client to break down the solution and start small.
The first iteration of their recruitment chatbot would take each candidate through a conversation covering 10 to 15 topics. With each question, the chatbot gathers data on the candidates' skills, previous experience, and qualifications.
For each vacancy, our client is able to set a series of requirements such as driver's license or work-related certifications.
Throughout the conversation, the chatbot qualifies each candidates before they move on to the next phase. If they do move to the next phase, the profile handed over to the recruitment team is filled up with up-to-date, relevant, and accurate information.
This conversational approach to recruitment also allows our clients to extract the information they require from applicants. While applicants might skilfully skip over disclosing a lack of qualification in their CV or cover letter, the chatbot requires it to move forward. This alone prevents the recruitment process from clogging up with candidates unlikely to get through to the end – saving everyone involved a lot of time.
Solving the challenges internally
Our client, like many well-thought-out organisations, follows a promote from within policy. This presented as a fantastic opportunity to follow our preferred chatbot implementation path; starting with a proof of concept. With this approach, we got to target 30% of our client’s applicants.
To browse and apply to open positions, employees simply access their internal HR portal. Deploying the first phase of the solution internally allows us to test the technology and tweak its features, all the while reducing the risk associated with adopting a new technology.
Making sure their values and culture transpires within the chatbot was a priority for them, and testing internally proved to be the best route.
The results: prioritised and qualified candidates
As always, we started this project with a proof of concept. This particular one was two-fold.
First, the EIA chatbot had just enough built-in features to be operative. It was important to put something together that works without spending five or six months in development.
Second, the chatbot was released to subset of the target market -- their own employees.
Our clients achieved a 73% reduction in unqualified applications. Even with the reduced audience, this translated in significant time saving within the recruitment team.
The recruitment team deemed the time they spent sifting through candidates pre-qualified by the chatbot as 'a lot more productive'.
Finally, we built a feedback feature into the chatbot, allowing each applicant to review their experience (whether their application was successful or not). 92% of applicants marked themselves as 'very satisfied' with this new process. We did not let the process define the experience, instead allowing the experience to define the process; and clearly this resonated with the applicants.
The results of this proof of concept exceeded expectations. Both the recruitment team and the candidates experienced a smoother, faster, more targeted process.
The success of this first iteration encouraged our clients to expand on the project, soon opening the job application experience to external applicants.
Best wishes,
Smriti Tripathi
Head - Corporate strategy
Techceptron Technology Pvt. Ltd.
A-302, Binawat Majestic
Hadapsar,Pune,Maharashtra
Email:smriti.tripathi@techceptron.com
Web: https://www.techceptron.com
Linkedin: https://www.linkedin.com/company/techceptron/
Facebook: https://www.facebook.com/techceptron/
Twitter: https://twitter.com/techceptron
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