Achieving inclusive hiring goals isn’t affected only by which finalists we choose to hire. Interview bias happens when interviewers or people involved in the hiring process let their emotions and personal feelings sway their judgments about a candidate, which leads to a situation where candidates are evaluated inaccurately.
In this series we’ll explore real world examples of ways to use interviewstream’s AI Recruitment Assist and AI Interview Question Assist tools to achieve the goal of reducing interview bias within the hiring process.
We’ll use the example of fictitious company Acme Widgets, a growing company of about 250 employees in an outlying suburb of a major metro area. Now that their Customer Service team has grown to six, Acme wants to hire for the newly-created Customer Service Supervisor position. As a Human Resources generalist at Acme, we’ll need to:
In the hiring process, we’ll have to write different emails to cover situations where we don’t already have a template. And we’ll need a more general-purpose tool when we discover that Acme could benefit from some internal training on how to hire fairly.
Part 1: Creating an inclusive (and legal) job description with AI for recruitment
We don’t have a job description for the new Supervisor position, so let’s generate one using the AI Recruitment Assist in interviewstream. First, open the AI Recruitment Assist tool and select the Job Description content type.
First, we’re just going to enter “Customer Service Supervisor” in the box about main points to cover. We’ll leave the language tone set to the default “Standard and click Submit.
Here’s the AI Recruitment Assist tool’s suggested job description and responsibilities. Look it over, then check out the second example below:
The Customer Service Supervisor is responsible for ensuring customer satisfaction by leading, training, and monitoring service personnel in providing exceptional customer service. As a supervisor, this individual will be responsible for maintaining and promoting high standards of customer service across the department.
Primary responsibilities include:
Skills & Qualifications:
This time we’re going to include a list of sections we want to include in the ai recruiting tool, and an additional instruction about EEO/ADA content. We’ll leave the language tone set to the default Standard once again, and click Submit.
Customer Service Supervisor
Suggest a position summary. Include sections for Responsibilities, Required Skills, Qualifications, Physical Requirements. Also include any EEO or ADA information appropriate to this position.
Make the job description inclusive to appeal to a diverse population of applicants.
Let’s see what the assistant suggested. Notice all our requested sections are present and there’s an EEO/ADA statement at the end. Even though I see a few things I’d like to change, it seems like this draft gives me a good base to start from.
The Customer Service Supervisor will play an essential role in ensuring customer satisfaction and maintaining customer relationships. This role requires excellent leadership, problem-solving, and customer service skills. The Customer Service Supervisor serves as a supervisor to a team of customer service representatives and ensures customer issues are addressed in a timely and efficient manner. This position offers opportunities for career growth for the right individual.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
What’s Next for AI recruiting software?
After a few quick steps I’m ready to start sourcing candidates for this new position. In the next post in this series we’ll learn how to use AI Recruitment Assist’s Announcement tools to generate interest.
Curious to see if our AI recruiting tools will work for you? Schedule a chat with us if you have any questions!
Faith Peterson is the Principal Product Manager at interviewstream. She’s devoted her career to making software better so that people can use it effectively and efficiently–and feel confident and capable doing so. Her focus on responsible and ethical tech informs her work in Product. She’s often found tending her native plant garden.