Using MongoDB Skill Scanner to Build Better Training Programs`, a blog post by Richard Huie-Buckius and Sammi Reinstein, highlights the challenges of building effective training programs for modern development teams. Technology leaders face difficulties in upskilling their teams due to rapidly evolving skills gaps, making it imperative to proactively train them on new technologies like MongoDB. The authors introduce `MongoDB Skill Scanner`, a tool used by the Professional Services team to address two common challenges: improving team proficiency and measuring training program ROI. By leveraging this data, customers can create targeted training plans that maximize knowledge retention and minimize time away from projects, ultimately leading to increased productivity and accuracy. The post emphasizes the importance of data-driven training programs, as traditional one-size-fits-all approaches may not address individual learners' needs, wasting time and hindering skill acquisition. The authors also discuss building a Precision Learning Program using Skill Scanner data to create unique learning schedules for each individual, resulting in higher knowledge retention and measurable project results.