How AI Tools Like ChatGPT Enhanced My Performance Review Process—And Improved Team Appreciation

Managing the performance reviews for a team can often be a time-consuming and challenging task, especially when striving to provide meaningful, specific, and professionally articulated feedback. As an engineering manager overseeing eight direct reports, I used to dedicate an entire weekend each review cycle to craft personalized assessments. The core difficulty wasn’t a lack of insights into my team members’ work but rather translating general praise into concrete examples and actionable feedback that truly resonated.

The Challenges of Traditional Performance Reviews

Initially, my reviews tended to be somewhat vague. Common phrases like “Sarah continues to demonstrate strong technical skills” or “needs to improve communication with stakeholders” populated the documents. While my team was generally tolerant of this style, I recognized that they found the reviews lacking in depth and usefulness. Feedback felt generic, and perhaps more importantly, it didn’t fully support individual growth.

A New Approach: Continuous, Anecdotal Notetaking

To address these issues, I shifted my process to be more incremental and detail-oriented throughout the quarter. Whenever a notable event occurred—a successful code review, a challenging conversation, a missed deadline, or an innovative solution—I would record this moment as a quick voice note using Willow Voice, a voice dictation app. For instance, I might say, “Sarah pushed back on the PM’s timeline with specific technical reasons and secured two extra weeks without damaging the relationship. This exemplifies excellent stakeholder communication we’re aiming to develop.”

Over time, this practice accumulated a collection of 15 to 20 specific observations per team member. These notes captured the nuances of their contributions and behaviors.

Leveraging AI to Organize and Articulate Feedback

As the review period approached, I found myself overwhelmed by the volume of notes. To streamline the process, I integrated ChatGPT into my workflow. I provided the AI with all the raw observations, along with each team member’s goals from the previous cycle, and asked it to perform several tasks:

  • Organize the feedback into coherent themes
  • Write the observations in professional, polished language
  • Suggest growth areas based on recurring patterns

This methodology transformed my scattered notes into structured, impactful performance reviews that highlighted specific examples and actionable insights. I maintained control by rewriting sections and adding personal context where needed, but the AI significantly reduced the time spent on organization and language refinement.

Results and Benefits

The impact was immediate. What used to take a full weekend now required just three to four hours. Moreover, my team members responded remarkably well. Two colleagues told me that my most recent review was the most useful feedback they had ever received—clear, specific, and actionable. It became evident that employees value detailed examples more than generic praise, and I had simply been overwhelmed to provide them consistently.

Final Reflections

Incorporating AI tools such as ChatGPT into the performance review process has not only saved time but also enhanced the quality of feedback. By continuously capturing specific moments throughout the quarter, I was able to generate reviews that truly reflected each individual’s contributions and potential.

Have you explored using AI for people management tasks? If so, I’d love to hear about your experiences and insights.

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