{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7ab80636f8864f1f8bd824f5cd7a4487\" frameborder=\"0\" width=\"1918\" height=\"1438\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1438,"width":1918,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1438,"thumbnail_width":1918,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7ab80636f8864f1f8bd824f5cd7a4487-96b376ca3806af51.gif","duration":144.3078,"title":"Optimizing Organization Search for Better Benchmarking 📊","description":"In this video, I walk you through the organization search feature on our platform, highlighting how to include or exclude specific organizations from your search results. For instance, if we want to exclude our own company data to get a clearer benchmark, we can easily do so. I've also demonstrated a practical example where we focused on retail staff rates in Manchester, specifically looking at Tesco, Sainsbury's, Aldi, Lidl, and Asda. Pay types are crucial for analyzing retail roles, as we noticed a significant difference in rates, such as 694 for Aldi compared to 51 for annual pay. I encourage you to explore these features to enhance your benchmarking process."}