In this episode, we’re joined by Barbara Matthews, Chief People Officer at Remote, the Series C company with 1800 employees across 85 countries building an end-to-end global HR platform. Barbara shares how her team compressed a 6–8 week performance cycle into 48 hours using monthly manager “trend” nudges, lightweight pre-calibration, and AI-generated self/manager summaries, while scaling a transparent, high-performance culture in a fully async org. We spoke with Barbara about designing performance to be continuous, objective, and fast, and how you can align leaders on what “good” vs. “great” looks like, avoid surprises for employees, and turn HR from a slow ritual into a real-time operating system. Here are some of the key questions we address: How do you build a high-performance culture (with transparency) across 85 countries without burning people out? What does it take to shrink performance reviews to 48 hours, and what’s the exact sequence from self-assessments to calibrations, promos, and comp? How do monthly nudges and a simple 5-point trend score improve alignment and reduce end-of-cycle thrash? Where does AI add the most value in performance, and where should humans stay firmly in the loop? What is pre-calibration, and how do you align managers on role expectations so ratings are fair and consistent? How do you keep feedback truly continuous in an async environment - training managers, closing loops, and avoiding “annual surprise” syndrome? When promotions aren’t available, what retention levers can be used to keep top talent engaged and growing? 🎧 Tune in to hear how Barbara re-engineered performance for speed and clarity, proving that modern people ops is a product you design, not a form you fill.

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