<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/405943f72931439484b8e0d4ce8a14f4&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/405943f72931439484b8e0d4ce8a14f4-46e88adb8f59aaed.gif</thumbnail_url><duration>173.609</duration><title>Why R&amp;amp;D logic models are often not logical </title><description>In this video, I discuss the importance of using logic models in designing R&amp;D projects to ensure sustainable impact. I share my experiences from international development projects and highlight common challenges, such as poorly defined impacts and the missing link between outcomes and impact. I emphasize that achieving outcomes often requires multiple outputs, not just a single report. I encourage you to consider how we can better implement these models in our projects moving forward.</description></oembed>