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...
All content for Total Survey Design is the property of Dr. Azdren Coma and Dr. Seon Yup Lee and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 this episode, we explore essential considerations for crafting effective surveys. We begin by emphasizing the importance of defining the purpose of your survey, which serves as a guide through each step of its creation. We discuss how understanding your main goal—whether it's measuring customer satisfaction or academic variables—shapes your questions and improves data quality. Additionally, we highlight the significance of knowing your target population, budget, and timeframe. By the...
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...
