These days, hot side projects and ways to view data [Monthly Datarian Seminar Replay | August 2023]

Monthly Data Analyst Seminar 💡
Check out Monthly Datalian again in July 2023!

Monthly Datalian Seminar
In August we're covering side projects !

August's Datalian Seminar is 🔍

I recommend this to those who are having these concerns ✅

• I can't satisfy my passion with my corporate life! Those who are preparing for a side project
• For those of you who are curious about what all the hot side projects have in common
• Anyone who wants to know how to use data to do side projects
• Anyone who is curious about how to quantitatively measure early services, test hypotheses, and grow them

August Seminar Timeline ⏰

#1 - Painpoints that can't be found through sincere research! Let's choose MVP action items with data.

✔ Speaker Jeon Jeong-min

• Gmeem PO, Fintech Startup Product Designer
  
• I am Jeongmin Jeon, a product designer who puts curiosity into action. With a thirst for data, I learned GA4 and was able to gain insights into the entire product from data design to analysis. I focus on discovering problems, deriving solutions, and verifying and growing products based on data.

Do you guys use memes often? I use memes every time I talk to my friends.
Since I had to find them again every time I used them, I looked for a service that would make it easier to find memes, and ended up creating 'GeuMeme' myself.
Are you curious about how I found users' pain points, defined the problem, and even derived action items in the 'Gmeme' MVP?
I will tell you about the process of strategically designing the MVP of ' Geummim ', which improved usability by 250%, and verifying and improving it with data.

#2 - How Skrr, the app that achieved 2nd place in the App Store, used data when verifying the MVP hypothesis

✔ Speaker Kim Hyun-jun

• Current) Founder of Skrr, currently attending Korea Digital Media High School
• Former) Marketer at Moonis (Miracle Night)
• I am a non-developer entrepreneur with a marketer base who started performance marketing in the third year of middle school. I am not a data analyst, but I am learning how to utilize data through hands-on practice.

Skrr is an anonymous voting app that is a Korean version of the popular app called Gas in the United States.
Vote for questions like "Who would you like to go to Lotte World with?", "A person you've seen as a potential love interest?", and "A confident and cool person" and get notified when you get voted for. You have to pay for a weekly subscription to see who voted for you.
When creating Skrr, I had a lot of concerns about what kind of hypothesis I should establish and what kind of data I should look at to verify the MVP for the very early products.
After experiencing the big cycle of hypothesis verification, I got a feel for how to do it. I would like to share with those who are preparing to start a business or have already started a business how I set up and verified hypotheses.

August Seminar
About the participants 📖

Expected Questions Q&A 💬

Live participation review
If you're curious 👏

What was the most impressive thing you learned during the seminar?

• The topic itself was interesting, sharing your experiences of success and failure in actual side projects.
• From a product designer's perspective, I really enjoyed Professor Jeon Jeong-min's seminar. It was very helpful to me, a complete beginner, to learn how to incorporate data into design.
• In the first lecture, you gave a detailed account of your experience solving service problems using data and indicators, which was very helpful. Instead of giving vague information, you showed the thoughts and logic you had at each moment of the problem-solving process, as well as the data you left behind, so I could see at a glance what the actual process was like.
• It was good to be able to see the flow of the entire process of planning and launching a side project and service. Part 1 was impressive in that it used tools to collect various data to improve problems and specify actions, and in Part 2, it was good to be able to see in detail the process of setting and specifying specific hypotheses and executing them, because it was clear what they wanted to confirm through the service.
• I was impressed by the story of speaker Jeon Jeong-min, who gained insight into the value of data utilization by utilizing data, and the story of speaker Kim Hyeon-jun, who shared his experience of growing by gathering people and trying to challenge himself in a field he had always been interested in!
• I was impressed by the second session speaker's explanation of hypothesis verification and the process. 😊😊 And also the first session's look at GA4 user-specific logs!
• I think the speaker recruitment was good! Both of them have different roles, but I think it was good to hear about their experiences while operating MVP. In particular, data analysts within an organization are largely influenced by the organization's capabilities or preferences, but side projects are products that contain only the concerns of individuals, not 100% of the organization, so I think there's a lot to learn.
• I was a bit surprised that everyone spoke so frankly in the second Skrr lecture, and it was a time to learn about perspectives on data.
• The second speaker told the story of his side project so vividly that it was fun to listen to.
• I liked the structure in which Professor Kim Hyun-jun covered the entire process from the beginning of the first idea for a side project to the conclusion that the service had failed. Because of the nature of the lecture format, it is often difficult to hear the details, but I think it was easier to hear because he conveyed the overall flow and the big insights that came from it.
• The seminar content was really good! It wasn't just about 'how to do data analysis', but I felt like it was a seminar that reflected the speakers' concerns because it was like experiencing the actual experience of improving services with data.

A word to Datalian!

• Thank you for opening up a great topic! I will work hard until I can participate as a speaker. :)
• I was satisfied with all aspects of the content and the way it was conducted. In particular, since it was an online seminar, I was a little worried about the network, but I was able to listen without any problems. Overall, the quality of the lecture was high, and it was good to be able to hear various experiences.
• Thank you for planning and conducting a great lecture. I hope Datalian continues to be known to more people and reach more people!!
• Thank you so much for hosting such a high quality and insightful seminar!
• It's always hard in hot weather! Today's seminar was really informative. I feel like I have a lot to learn while watching. I look forward to next month's seminar. Thank you :)
• I am so happy and grateful that Datalian is always so sincere about data. Thank you for always being the 'standard' for studying!
• Following the July seminar, I also listened well to the August seminar. I have only been studying for 1-2 months, so there are many things I do not understand, but I think my perspective will be broadened by interviewing cases. I am looking forward to the seminar next month in September because it seems to be a more direct topic for me. Thank you :)
• I think this is the most cleanly conducted seminar I've ever attended! That's why I was able to concentrate and listen well until the end. Thank you :)
• Today was my first time attending a seminar, and it was a good time to learn and gain new insights.
• The seminar content and atmosphere were great. I liked the atmosphere where we could communicate comfortably!
• The seminar content was refreshing and good as it provided new insights.
• Thank you for making this a great spot!

2023 Monthly Datalian
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