Episode 34

Use Case Study - Fixing Common Field Staff Performance Issues


March 18th, 2020

13 mins 4 secs

Your Hosts

About this Episode

    <p>In this “Use Case Study” Chris covers analysis and interpretation techniques around analyzing data from field staff, interpreting that data so it is actionable, and using the data for benchmarks and reporting.&nbsp;All of this as a method toward the goal of identifying what is working well (you can do more of that) and what isn’t (so you can do less).</p><p>This episode focuses on common field staff recapping metrics such as attendance, hours of activation, and number of consumers sampled.&nbsp;Data interpretation techniques are discussed and direction given to agency managers on using data to identify best practices and challenges.</p><p><strong>Links of Interest</strong></p><ul><li><a href="https://portma.com/browse-reports/" target="_blank">PortMA’s Library of Industry Benchmarks Reports</a> </li><li><a href="https://portma.com/browse-reports/all-available-benchmarks/" target="_blank">The Benchmarks PortMA Focuses on</a> </li><li><a href="https://portma.com/browse-reports/agency-resources/" target="_blank">Improving your Agency’s In-house data practices</a> </li></ul><p><br></p>