To address these challenges, we conducted user research and designed a targeted membership survey. The goal was to help NIKE understand the awareness of its exclusive membership programs and identify the benefits that upgraded members most desire.
In designing the survey journey, the framing of questions and structure of the questionnaire were crucial. We continually refined the questions, and I helped the team organize the logical framework. Based on my literature review, I provided some suggestions for improvements.
Merged Q2.3.1 and Q2.4.1 to streamline and simplify the process.
Reason:
The original logic was somewhat confusing, requiring users to answer too many questions.
Switched from a 10-point rating scale to a 5-point scale.
Reason:
A 10-point scale is more granular and demands higher precision from users, making it difficult to distinguish between scores like 7 and 8. Q2.1.1 already uses a five-category preference scale, so unifying the entire questionnaire ensures it's more user-friendly and suitable for a broader audience.
To streamline the process, I used a decision tree to structure three key sections: the current stage (now), the future stage, and the user's personal information. This framework served as the foundation for designing the wireframe, ensuring a logical flow and intuitive user experience. For the UI design, I used Nike’s brand colors and shapes for the membership survey, aiming to create a clean, straightforward, and clear questionnaire design that encourages users to participate.
To encourage more users to participate, we offered a variety of attractive rewards. As a result, the survey received a total of 91,998 participants via the app and 17,563 through WeChat.
91,998
17,563
Key insights revealed that 72% of users appreciated the coupons, and the top five desired benefits were coupons, personalized products, offline event experiences, Nike partner benefits, and virtual gifts. Additionally, the top five types of data users wanted to see in their annual summary were Benefits, Avatar, Money spent, Shoe purchases, and Game play data.
These insights guided us to include these elements in the upcoming Annual summary, helping shape the direction for future membership engagement strategies.
*This data is sourced from backend data collected by the developers.