In this episode, I talk about a survey I didn’t plan to analyze—one that popped up the moment I opened Microsoft Word. Microsoft asked for feedback, and well… I had some. I break down the flaws in their opening question, including directional bias, vague wording, and unlabeled scale points. I also reflect on how these design choices impact data quality and what could have been done better. It’s a reminder that even the most common surveys we see in the wild from even the biggest tech giants c...
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In this episode, I talk about a survey I didn’t plan to analyze—one that popped up the moment I opened Microsoft Word. Microsoft asked for feedback, and well… I had some. I break down the flaws in their opening question, including directional bias, vague wording, and unlabeled scale points. I also reflect on how these design choices impact data quality and what could have been done better. It’s a reminder that even the most common surveys we see in the wild from even the biggest tech giants c...
In our second episode focusing on sample design, we dive into the intricacies of creating a sampling frame. We explain what a sampling frame is and why it's crucial for ensuring your survey reaches the right target population. We discuss the four key elements of an ideal sampling frame: comprehensiveness, accuracy, specificity, and accessibility. Additionally, we highlight real-world examples and practical tips for researchers, from using address-based databases to leveraging online survey pl...
Total Survey Design
In this episode, I talk about a survey I didn’t plan to analyze—one that popped up the moment I opened Microsoft Word. Microsoft asked for feedback, and well… I had some. I break down the flaws in their opening question, including directional bias, vague wording, and unlabeled scale points. I also reflect on how these design choices impact data quality and what could have been done better. It’s a reminder that even the most common surveys we see in the wild from even the biggest tech giants c...
