Develop a custom GPT workflow to standardize and improve the quality of interview feedback. By providing a rubric and examples, the AI generates consistent, actionable feedback and a Slack summary for interviewers.
with Claire Vo
Establish a clear and detailed rubric for evaluating candidates. This should outline the key competencies, skills, and values you are looking for and define what different performance levels look like.
Craft a comprehensive prompt for your custom GPT. The prompt should include the full rubric, examples of both excellent and poor scorecards for context, and clear instructions for the desired output format (e.g., feedback points and a Slack message summary).
After an interview, have the interviewer submit their written scorecard (notes and ratings) to the custom GPT. The AI will use the provided context to analyze the feedback.
Evaluate this interview scorecard based on the provided rubric. Rate the scorecard as Excellent, Good, Fair, or Poor. Provide specific feedback on strengths and areas for improvement. Also, generate a brief Slack message summarizing this feedback.The GPT will generate standardized feedback based on the rubric, highlighting the candidate's strengths and areas for improvement. It will also produce a concise summary formatted for easy sharing in a communication tool like Slack, ensuring consistent and high-quality feedback across all interviewers.
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