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 this episode, we do a small retrospective on the first season. We also look ahead to see what is to come. We also give a call to action, seeking your support to ensure that this project continues to exist into the future. If you would like to support us, you can do so by visiting our Ko-fi page at: https://ko-fi.com/totalsurveydesign Thank you. Support the show Find us online at: instagram.com/totalsurveydesign/ https://taplink.cc/totalsurveydesign Contact us at: totalsurveydesign@gmai...
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...
