This is Season 13, Episode 8 of the ChatGPT Masterclass: AI Skills for Business Success. In the last episode, we explored how to track departmental execution of strategic goals using AI. We discussed how to define execution metrics, automate data collection, and generate AI-powered execution reports. Today, we’re moving into an area that is often disconnected from strategy but is critical for ensuring alignment—AI for performance reviews and strategy-driven employee feedback. Traditional performance reviews are often generic, time-consuming, and disconnected from actual strategic priorities. AI can help make them more data-driven, personalized, and aligned with company goals. By the end of this episode, you’ll know how to use AI to track employee performance, generate strategy-focused feedback, and create continuous, real-time performance coaching without unnecessary meetings. Step 1: Define Performance Metrics That Align with Strategy Most performance reviews focus on individual productivity metrics but fail to connect employees’ work to business strategy. For AI to assist in performance reviews, you need to define what success looks like in a way that is measurable and relevant to company goals. For example, if the strategic goal is expanding into a new market, employee performance should be measured based on how their actions contribute to this goal. AI can help generate strategy-aligned performance metrics:

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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