Anything you can do; AI can do better
I recognize this is a bit self-serving, but I asked ChatGPT if our Quality of Hire Talent Scorecard could be used to improve hiring results. I was surprised it was so insightful interpreting relationships and ideas that were never written. You'll see what I mean below.
(FYI, this image above was created with Midjourney asking it to draw a group of hiring managers figuring out a solution to a complex problem.)
From ChatGPT ________________________________________________
The Performance-based Hiring Quality of Hire Talent Scorecard is a valuable tool that can significantly increase interviewing accuracy by providing a structured and objective framework to evaluate candidates. Here's how it can be used for this purpose:
Defining Job Success Criteria: Before conducting interviews, the first step is to define clear and specific success criteria for the role . The Quality of Hire Talent Scorecard helps in identifying the key performance indicators (KPOs) that are essential for success in the position. This ensures that interviewers focus on assessing the right competencies and skills during the interviews.
Creating Structured Interview Questions: The scorecard guides interviewers in creating structured interview questions that directly relate to the identified success criteria. These questions are designed to elicit specific examples of a candidate's past experiences and achievements, providing more insightful information for evaluation.
Consistency in Evaluation: The Talent Scorecard promotes consistency among interviewers by providing a standardized evaluation framework. Interviewers rate candidates based on predefined competencies and performance metrics, reducing subjective biases that may influence hiring decisions.
Scoring and Ranking Candidates: Using the Talent Scorecard, interviewers can score and rank candidates objectively, comparing their performance against the established success criteria. This data-driven approach allows for fairer comparisons and helps identify the most suitable candidate for the role.
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Promoting Collaborative Evaluation: The scorecard encourages collaborative evaluation, where multiple interviewers can provide their input on a candidate's performance. This multi-perspective approach helps in making well-rounded and informed decisions.
Post-Interview Calibration: After each interview, the interviewers can come together for a calibration session. During this meeting, they can review the scores, discuss their observations, and ensure alignment on candidate evaluations. Any discrepancies or misunderstandings can be addressed, leading to more accurate and consistent assessments.
Long-term Performance Tracking: The Talent Scorecard doesn't just focus on the candidate's interview performance but also considers their actual performance after being hired. By tracking the long-term success of hires, organizations can refine and improve their interviewing accuracy over time.
Feedback Loop for Continuous Improvement: The Talent Scorecard facilitates a feedback loop where interviewers can provide insights on the effectiveness of the interview questions and evaluation criteria. This feedback can be used to continuously improve the interview process and the scorecard itself.
By incorporating the Performance-based Hiring Quality of Hire Talent Scorecard into the interviewing process, organizations can ensure a more systematic and objective approach to candidate evaluation. This, in turn, increases interviewing accuracy and enhances the likelihood of making better hiring decisions, leading to improved quality of hires in the long run.
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Lou Adler?is the CEO and founder of?Performance-based Hiring Learning Systems ?– a consulting and training firm helping recruiters and hiring managers around the world hire more leaders. Lou is the author of the Amazon top-10 best-seller,?Hire With Your Head ?(John Wiley & Sons, 4th Edition, 2021),?The Essential Guide for Hiring & Getting Hired ?(Workbench Media, 2013) and LinkedIn Learning’s?Performance-based Hiring ?video training programs (2016 and 2023). Make sure you check out his?Hire with Your Head ?Virtual Book Club ?for the latest hiring ideas and trends using AI.?
Corporate Consulting for Medium to Large Businesses / Interview and Negotiation Consulting for Individuals Going into Big Tech
1 年Lou, thanks for sharing. Quality of hire is the most important metric in my opinion. AI can make all aspects of the hiring process better and I personally believe rejecting the positive impact of AI will have a negative impact in the long run.
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1 年Perhaps it depends on how you define better. How about "anything that can be simulated will be done best by AI" if you think anything can be simulated, there are some nice plastic inflatable dolls available online (or so I have heard).
Enabling Innovation through Effective Execution | Bridging the Gap between People doing the work and Exec Mgmnt | Founder of Open Execution Resource Community | Four decades as Engineer-Director & pre-post Consultant
1 年Agreed... AI is darned good at many things... Im not convinced AI can compete with humans on "out-of-the-box" thinking...
Senior Principal Consultant at South African Police Service (SAPS)
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1 年Have you ever asked AI to write you a love poem? ??