Data-Driven Design Without a Data Analyst [Datarian Seminar Replay | November 2025]

Datarian Seminar

In November, Data-Driven Design will be covered!

Datarian's November Seminar is 🔍

Recommended for those who have these concerns ✅

• The practitioner above who was told to analyze data but doesn't know where to start

• Planners and designers curious about design cases utilizing data

• Anyone who wants to solve problems based on data

• These days, many job postings say to work 'data-driven,' but job seekers and practitioners who don't know specifically how to do it

• A person who is afraid of the word 'data'

Lecture Introduction ⏰

# Data-Driven Design Without a Data Analyst

✔ Speaker Lee Mi-jin (Ranran)

• Current: Product Designer with 17 years of experience

• Current) CEO of Dark Horses of 77th Street

• Current) 12th Brunch Book Award Winner, Author of 'UX Emerged After Data Struggles'

  
  

• Starting as a web designer and becoming a product designer, I've grown like a weed through various startup domains including education, healthcare, commerce, flowers, laundry, building management, job search, and architecture. I run to help designers who are experiencing the same difficulties I faced in the past. I help designers resolve their frustrations, regain confidence, and trust themselves.

Anticipated Q&A 💬

Want to know what people thought
after joining the live session? 👏

What was the most impressive part of the seminar?

• What stands out to me is the need for a data approach that considers the company's revenue structure. In a way, it's obvious, but it seems like an area that can be easily overlooked. Also, I realized that deriving the metrics I'm curious about first and then identifying which channels can provide them is a proactive way to approach data.

• Rather than focusing on the importance of data tools, this was an excellent course that taught me how to approach data from the right perspective and mindset, all the way to a business viewpoint. I learned how to utilize the unrefined qualitative and quantitative data at my current company to improve our services. I was able to gain some answers about what criteria to use when categorizing data.

• I understood that data is important, but I was curious about how to collect and utilize it, and it was great that you explained it with practical examples.

• The effort needed to process data before analysis and the impressive attitude of asking questions rather than just utilizing the data itself left a strong impression.

• I was impressed by the idea that we should ask questions of data to utilize it, rather than just finding answers in the data. While working on projects, I thought I was asking questions of the data, but after listening to today's lecture, I realized I was actually just finding answers in the data, which was quite shocking.

• It was great to learn about the importance of data, what kind of data is needed, and how to extract it properly. Overall, it was easy for beginners to understand, which was excellent :)

• From a data analyst's perspective, I was impressed by the practical approach to utilizing data that goes beyond traditional analysis methods.

• Segmenting targets and segments is always the most difficult part, and I had a lot of concerns about what criteria to use when deriving new features tailored to the target. If I think about it according to the content you've organized, organizing ideas will now be much more logical and easier. It was the most impressive and helpful.

  
  

• It was impressive how the content emphasized viewing data not just as numbers or results, but as a starting point for deeper understanding of user behavior, and that what designers need is the ability to ask questions rather than analytical skills. Also, the point that timely data is more important than perfect data was striking. It resonated realistically that when data access is difficult or unrefined in practice, it's important to have an attitude of being satisfied with an appropriate level and moving forward with execution.

  
  

  
  

  
  

A word you'd like to say to Datarian!

• This was truly a seminar that helped me many times more than lectures costing hundreds of thousands of won that I've taken elsewhere. Thank you so much for generously sharing the know-how you've gained through years of hands-on experience at such a great price.

• I'm always getting help because you seem to explain things in an easy and essential way. I hope that by following step by step, I'll eventually be able to walk the path of data analysis that seems so vague right now.

• In Korea, where the concepts of UX/UI and product design are not yet well established, lectures like this seem very valuable. Please hold such seminars frequently in the future.

• It was a time to gain valuable insights. I really support the work you're doing and look forward to seeing Datarian and its users grow together.

• I really felt the effort you put into delivering quality content. I'm so glad I discovered Datarian's courses now! Thank you!!

• This was my first live session, and I really appreciated how it was packed with high-quality content. While there's plenty of material about data analysis on the internet, data insights are something that always confuses me when I try to organize them clearly. I found it helpful how you explained things from a big-picture perspective, such as the criteria for deriving insights and why data is necessary. What made it even better was how the lecture clearly outlined standards for each target audience.

• Thank you for giving me the feeling of discovering something even more interesting in a world full of interesting things!

• Thank you for always providing great lectures!

• The explanations made it easy to understand, and the complex and difficult content became much easier to grasp. Additionally, I was satisfied with the clean and straightforward teaching style without any unnecessary fluff!

• I was feeling overwhelmed about how to analyze data, but through this seminar, I was able to gain various insights. Thank you for hosting such a great seminar!