Textale User Research

Overview

Why doing the user research?

Textale, a recently founded small business, specializes in producing premium t-shirts and high-quality clothing. Since its establishment last year, the company has successfully received close to 2,000 orders. As the only one specialized in UX field, my primary task is to lead the team to develop a standardized approach for constructing a user persona repository.

Challenges

As the figure shows, a large amount of the raw data is "N/A", which means it is null or non-valuable. How to get valuable information from all the consumers purchasing data is crucial and challenging.

Solution

We categorized dozens of key users in terms of 5 age groups and 2 genders. Every key user has colored labels which reprensents his/her/their potential consumption motivation. Every key user also has labels of his/her/their lifestyle and key features. Personas are generated by "who, where, why, how, buy" for each age group.

Impact

This was added to the Textale business plan, and I presented the methodology and the results of my research on personas in investor meetings.

Roadmap

The first step is to wash the data and get the valuable ones. After obtaining effective user data, summarize the user persona.

Methodology

Categorize Users

We use Attribuly, a CMS management platform to document the users' buying information, including gender, age, location, social media, actions while browsing our shop pages.

Users' Demographic Information

We look up to all the public social media of the user, and label his demographic information including location, profession and martial status. We also try to find his hobbies and life style as they could be related to our products. For example, people love outdoor activities more likely to buy our water-proof shirts.

Predict Users' Category

Generate User's Card

After collecting all the information, I suggest to use ChatGPT to generate user's possible consuming value, the requirement to our products and potential marketing platform. The reason is everyone in our group has his subjective opinion or understanding of the user, and to use ChatGPT to generate these anticipation could make results more stable and standarlized. Here is our standarlized prompt after multiple tests:

Below is an example key user card we use ChatGPT to get.

Summerizing

We create a small card for each key user card and put them all together. The team anaylsed the chart and generate detailed persona.

Here is an example of 25-34 age group