How to Analyse UX Data & Translate Findings into Product Recommendations | Follow Along PART 5

[@zerotoux]

1:16 How to approach data analysis 1:50 Analysing the quantitative survey data 5:00 Chi-squared test 6:53 Analysing the qualitative cafe study data 7:42 How to translate findings into product recommendations 8:30 Conclusion #ResearchFTW!!!

[@daniellekavanaugh7732]

Love your channel! I’m self taught & in the research phase right now of a project. it’s been super helpful to see how you would go through a project and I learned so much!

[@ymr620]

would love a video on chi-square!

[@yourstrulyaugust]

would love to see a video on chi-squared test! Thanks, Kevin!

[@bhagyashreegaonkar9191]

It's great, like brainstorming excercise.

[@sutongliu]

It's so concise and clear how you utilise and analyse quanti and quali research here! Great learning for me and yessss to Chi-Square test! Thank you!!! :))

[@zerotoux]

Yesssssss!!! Thanks for watching Sutong!

[@elin509]

Awesome video as usual, I always look forward to watching them :) Also, yes to that Chi-Square video!!

[@zerotoux]

You got it! Thanks for watching, Erika!!

[@Varrok-up4zf]

@@zerotoux I would love to see that too! or a video/playlist discussing the use of statistics in user research in general :)

[@nanabishop]

Great ! This was very interesting, the participants seemed thrilled and acted with good will :D

[@evergreenerin]

I subscribed!!!

[@MindMingler]

Loving the videos. Really helpful! I did have to comment about your definition of a p value and what it means though (much as it pains me lol).. A p value is the provability of observing an extreme result given the null hypothesis is true :D

[@nikhilshetty1212]

Thank you Kevin This is amazing. Just starting with my career in UX hope I can gather a lot of insights from your videos 💪🏻

[@monikapanchal2061]

Informative thank you kevin

[@ebonegreene4019]

chi-squared test please!

[@ellachandlerstudio]

Great series! Super helpful

[@zerotoux]

Glad it was helpful!

[@loreepham]

Hi Kevin, this series has been really helpful for me so far. Question, for the qualitative portion and affinity diagram did you take notes or voice record during the interviews?

[@zerotoux]

Hi Loree! Thank you and glad you found it helpful. Yes, always take notes! And if you cannot, get someone else to. As you saw in part 4, I recorded the participants. Some did not want their face recorded so I just recorded their hands. Voice is fine, too.

[@zerotoux]

Affinity diagram I don't record, but you can. It's all up to you and how much visibility you want your stakeholders to have.

[@anthonyduong63]

Hey Kevin so I am thinking about doing a research project on parking spaces, so here is my situation my school is building a new dorm building for Fall 2021.The results of this is that the design of this dorm is taking up so much parking spaces and people living on campus are complaining.Do you think this is a good research project and plus how would I do a usability testing of this?

[@zerotoux]

What do you want to learn from this research? And let's say you did the research and found some insights, would you go to the school board and tell them to make changes?

[@anthonyduong63]

@@zerotoux What I want to learn from this research is how the effect of new building can affect the scarcity of parking spaces in big college campuses and how it pertain to the students living on campus, For me going to a school board I would interview them first.To be honest Kevin I hope I am doing this right.

[@zerotoux]

@@anthonyduong63 for the first question I think you can utilize literature research - look at prior urban planning studies, there has been a ton of research done on this I believe, unless there's something super specific. For how students feel, I think you could interview drivers and students. I think you'll get different perspectives. Some may want the housing because they don't drive, and others, like you mentioned, may drive and not want the building because they commute. I'm not sure how you can usability test this. What do you hope to get out of the study? Because it sounds like you're going to find what you're expecting to find.

[@anthonyduong63]

@@zerotoux You see Kevin that's the thing I have no idea how to do a usability testing on this, What I am hoping to get out of this study is to find out the conflict between parking spaces and the students, but hopefully I can get more insights. I guess what I can do is to redesign the layer of the new dorms and add parking spaces or to be honest I really have no idea.

[@charlietheunicorn5462]

@@anthonyduong63 let's think through this: what is a usability test used for? Your research question does not lend itself to a usability test, so we should think of a different method. If it's how buildings affect parking and subsequent lifestyle, there has been literature on this. We should also try to reframe your question, because if you're looking for conflict, you're gonna find it (bias). Again, if you only interview people who drive, you're going to find skewed data because obviously they need parking. Careful of bias here. If you're looking to redesign, what will you base it on? We cannot just sketch out what we think will be better without the data, and that specific question is less UX focused than it is urban planning, which you may want to talk to an architectural designer about. How it affects lifestyle of students - well maybe you can interview people about what they expect in a new building and whatnot

[@trulyjane]

Please make a video on the Chi-squared test.

[@zerotoux]

:D it's a long time coming, will do eventually! thanks for watching ✌️

[@sushrutm4548]

Great video Kevin! Just a question- are product recommendations similar to ‘how might we’ statements? Cause essentially they both are open ended.

[@zerotoux]

Very similar but not quite! You could use them the same way, but "how might we's" are usually used for brainstorming solutions broadly, while recommendations might be more pointed.

[@sushrutm4548]

Kevin Liang Got it. Thanks for the quick reply :)

[@Phoca_Vitulina]

Awesome video per usual! Though I'm not sure I'm understanding the 'task from the instructions part' of further research - as in, is editing the instructions more important to the success than the redesign? As in, should we experiment with other ways to fill out the form vs the bubbles? Thanks so much! Also, not sure if you've done it already, but it might be a cool if you explained the most common stats you use for analyzing UX research and why?

[@zerotoux]

Ahh good call out! What I mean is that we need to visually distinguish the instructions section from the voting section, and not to mix them up in the same column. As for other ways to fill out the form, that could be another study! I know the California ballot is to fill in an arrow vs. filling in a bubble, and the Canada ballot is a HUGE circle that you mark and others... Sure! I'll have some stats videos coming up :)

[@Phoca_Vitulina]

@@zerotoux Oh okay, thanks for clearing that up! That makes total sense that from the data, they say that instructions should be separated from the voting task, but how it's done visually is up for interpretation by the designers! :) Thanks again! Awesome, looking forward!

[@ironsienna]

Is there any visual feedback to the users when they click a hot area and turn it to on?

[@zerotoux]

Yes! the box should highlight!

[@gauripawar]

M really bad at statistics that's why m not able to do research I get stuck in the stat but I do have damn ideas for research

[@gauripawar]

#kevin plz check your insta message box

[@wuobiabanganoh3398]

Chi-square test

[@litannalex]

Why didn't you add something like "did you leave this question blank intentionally?" for those who didn't vote for senators? I guess some people could just have skipped the question not because they didn't see it, but because they simply didn't want to answer.

[@zerotoux]

That's a great suggestion too! That would certainly be a great option to add to the ballots. Maybe the option "abstain from voting" can be a simple fix! Certainly something thy should consider in the future. The reason I didn't add more solutions was to address the hypothesis that the news reporters mentioned, whether it was because the contest was below the instructions or not.