How to be REALLY good at Surveys as a UX Researcher (lots of RESOURCES!)
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- Опубликовано: 14 июл 2024
- Unlock new career opportunities and become data fluent today! Use my link: bit.ly/3zH0Kkd and check out the first chapter of any DataCamp course for FREE!
[** Tap "Show More" for timestamps and more helpful UXR resources ⬇️]
00:00 Intro
01:38 4 steps to master Survey Science
03:13 Variables and Measurement Design
03:29 What is a "Variable"?
04:12 Types of variables - treat them differently!
05:52 Most commonly used variable types in industry surveys
06:42 How to design "Measurements" (aka good survey questions)
08:00 BONUS: Single-item measure vs multi-item measure
09:52 DEMO: measurement design
12:10 Good book for writing effective survey questionnaire
12:46 Applied statistics and data analysis
13:36 Understanding the logic behind statistics (and FREE RESOURCE!)
16:12 Descriptive statistics vs Inferential statistics (what's the difference)
17:21 DEMO: example for using inferential stats in survey
18:37 Commonly used statistical analysis (you should learn!)
19:10 Understanding the logic, not the computation.
Resource to learn more about variables: bit.ly/3fam4VL
SUS survey & how to measure usability: bit.ly/3GcqLdz
Questionnaire design handbook: amzn.to/3PNeBMF
👇🏻You can now book a private or small group career chat session with me: calendly.com/aonatalks
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☺ UXR Resources ☺
» Best tactics for running UX workshops and more: pipdecks.com/decks Using my promo code "AONA96864 " during checkout for an additional 15% off
» A good overview of UXR (mostly Qual): amzn.to/3wv1cA8
» UXR stakeholder management: It’s Our Research: amzn.to/3fER7H7
» UXR methods handbook: amzn.to/2PzZF7w
» UXR product sense: amzn.to/30IuKwg
» Writing effective surveys - Questionnaire design handbook: amzn.to/3PNeBMF
» Quant UXR: amzn.to/30HSAYX
» About field study and ethnography: amzn.to/31hWGr3
» An easy-to-read intro to stats: The Cartoon Guide to Statistics amzn.to/3nFwstF
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☺ About Me ☺
Hello there! I’m Aona, creator of AonaTalks, also a Senior UX Researcher (UXR) working in Silicon Valley. Topics I enjoy talking include but not limited to UX research, UX career growth, and Silicon Valley fashion and lifestyle. I hope my content can help aspiring and like-minded UXers find their personal and professional footing in this field. Thank you for visiting my channel! I hope you find what you are looking for.
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☺ Channel Playlist ☺
🐣 For UXR beginners 🐥: bit.ly/3zG5WEX
🧪 UXR craft 🧪: bit.ly/3FbLjRZ
🌱 UXR growth 🪴: bit.ly/334rgb5
🖥 UXR & tech career tips 🖥 bit.ly/3Gc9h11
🦄 creator journey 🦄: bit.ly/3HNCbEW
🌼 my passions in life 🌼: bit.ly/3r3foyb
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☺ Connect With Me ☺
» For business inquiries: aona.ux@gmail.com
» IG: @aonatalks
» Twitter: @aonatalks
» Linkedin: / aonayang
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☺ Equipment☺
» Video: Sony ZV1 amzn.to/3FZmQ3N
» Audio: Rode NT USB mini amzn.to/3HUGtKX
» Edit: Final Cut Pro
» Channel Art: Procreate (on iPad Pro)
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☺ Disclaimer ☺
My opinions are my own and they do not represent my employer in any way.
Some of the links are affiliated.
This video was sponsored by DataCamp.
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☺ Music ☺
🎵 Music provided by Epidemic Sound: share.epidemicsound.com/81juel
#UX #uxresearch #userexperience #UXdesigners #UXdesign #uxjobs #uxcareer #uxcommunity #userexperience #usertesting #userresearch #interviewtips #interviewskills #interviewpreparation #jobhunt #tech #experiencedesign #userexperiencedesign #uxr #uxrs #hci #uxinterview #uxresearch #productdesign #womeninproduct #womenintech #siliconvalley #productresearch #techcompany
Unlock new career opportunities and become data fluent today! Use my link: bit.ly/3zH0Kkd and check out the first chapter of any DataCamp course for FREE!
i got my BA in psych, but i graduated almost 10 years ago and eventually went into a career that didn't utilize the survey design skills i learned. needless to say, i'm rusty now. but this video is making me go "oh yes i remember that!!" so thank you for this crash course :)
🤗🤗🤗
I just wanted to say that I’ve been going through a slightly rocky time recently at work and in my career as a UXR for various reasons. It’s felt pretty lonely but I watch at least one of your videos a day at the moment and it makes me feel like I’m not alone in the UXR world. Love all of your videos, they came to me just at the right time. Thanks so much ☺️
How are you doing now in your career as a UXR?
new intro is so good!!! thank you for your S tier videos as usual
Yayyyy!!
OMG. My mind is blown. I was doing a UX project and I did a survey thinking that it would be easy. It was easy but I kept thinking "what I'm going to d with the anwers?". It was just a normal survey that anyone could do. Then I did research and your video helped me a lot. Now I know I need to do a JTBD Survey and I know I need to do a bit more research about variables in order to do a surey that will be actually useful to inform my design decisions.
You channel is probably the best UXR resource! :)
I hope you can do one day a video about hypothesis, research goals/research questions and how they all get together.
I recently discovered careers in UX. Currently building my portfolio, starting with my first case study. I took ap statistics in hs and this was a great video to jog my memory. Definitely subscribing
You always come through !!
Don't want to be dramatic, but finding your channel was definitely the best thing to happen to me in 2021 :)
(oh and wishing you success, always! thank you for taking the time out to do this for learners out there !)
Thank you so much for all work you put to produce these videos Aona. They are gold .
Million thanks for recording such a valuable video on the survey! LOVE YOU!!!!
This is such an invaluable lesson around survey design. Thank you Aona, as always!
Aona! You are one of the most precious youtubers out theres! Thank you so much for talking about statistics and resources, im writing my thesis and it helped my questionaire greatlyyy
dawww!!
Really clear and well done!! Thank you for this great refresher and ways to teach others!!
Great Video as always Aona! Thanks
This video was so helpful!! Thank you Aona 🙏
Thanks aona! Great lesson! Please cover more on qualitative research method in a separate video! Keep up the good work!
Great Video Aona 🙂 quantitative data is not about being a statistician or mathematician rather it can be used to help avoid human-bias.
This is such a good video. Thank you so much! You broke it down really well.
TY!!
Brilliant as always Aona, thanks for the tips. Anw can you talk more about day to day activities as a ux researcher? I mean how you interact with other stakeholders, planning research, how interact with other designers/researchers, mentoring, etc.
Wow, that is very interesting! Love this video, thank you 😊
Hi from Argentina. Loving this videos 😍
This is super awesome! Really helpful for a UX researcher like me
Great video! Thanks so much! I always struggle with the validity issue...
This video is a treasure thank you very much
Wow, I feel like I am doing very similar things as a program evaluator, thank you Aona for making this video! 你的视频都很有用，感觉我可以考虑转行了 哈哈哈 （并没有
Great Video thank you!
This is great! I also like to tell my fellow researchers to make sure they are careful when doing multiple inferential comparisons on the same data set. Happens so often, but it increases your chances of making a mistake. Best is to go in with some hypotheses and test those :)
obviously we'd like a video on the other 2 :D
Hi Aona, could you post a video about Diary studies and User Journey Mapping? Thank you for all your other videos, super informative!
Love your channel! Thanks for all the accessible resources in very well done video format
I know that math can be very scary to lots of people. Though, as I understand it, statistics is all about relationships. Math is what we use to describe those relationships.
People can develop mental models based on visuals of what is happening for the simpler relationships.
I wish that there was a better experience for learning math as it has been. At least a neutral experience.
OMG im loving all these thought provoking comments about what stats is!! Thank you for sharing your view :)
Thenks
Hi! I liked the video, but just one thing: with interval, it's true there is no real zero, but there absolutely is a meaningful difference between them.
Hi Glenn! Thank you - I have always had a hard time differentiating when an interval starts becoming a ratio variable and vice versa. I have then come to my own understanding - besides the true 0 definition, I evaluate whether there's a "mathematical meaning" in an interval variable's scale of measurement. E.g. does ‘multiplied by 2’ have the exact meaning of ‘twice as much as’? If so, I tend to count it as a ratio, if not, an interval. Which is what I was trying to say in the video - do you think this is a good way of categorization? But you are right! It definitely has meaningful difference between them. Happy to hear more of your thoughts!!
@@AonaTalks Hi! Thanks for the thoughtful reply. In my estimation, yes, that is a good and practical way of differentiating interval and ratio variables. It's also more concrete than the "absolute zero".
However, my remark about the meaningful difference targets more the difference between interval and ordinal -> If the difference isn't consistent (ie. equal intervals) and meaningful (correspond to equal differences in the underlying value), then it's an ordinal variable.
/geekmode: Where the mind*ck gets dialed to 11 is how those typical rating scales like satisfaction and Likert are formally ordinal (as you correctly put) but are practically treated as interval so you can calculate their means.
/personally: I'm okay with means for those scales but rarely do it myself. A simple bar graph where you see the number of times each option on the scale was chosen (or emphasising some with a top2box score) carries much more punch than "3.74 avg satisfaction".
Pls who can help me with the pdf format of the book?
Thank you so much for this!!! Super valuable
👏👏👏👏😊
Hi Aona, thank you for the video! Quick Question: If someone is doing a survey that has both quantitative and qualitative questions, how would they go about analyzing their data? Would they analyze the data separately? If you have any resources you could share that might answer this, please let me know. Thanks!!
“Qualitative questions” do you mean open-ended questions? If so yes - need to analyze them separately.
To be honest, I'm an aspiring UX researcher. But I didn't understand 80% of what you have just said.
Seems very complicated terms.