PROJECT NAME

User Survey Data Visualization

SKILLS
Survey Design, Data Visualization
STAKEHOLDERS
GoodBird.Store

As a co-owner of GoodBird.store, a women’s disc golf apparel brand, and a product designer, I prioritize designing with user feedback rather than personal bias. To better understand my audience, I launched an annual Women in Disc Golf Survey to inform product decisions and identify opportunities to grow the sport.

Survey Design

To ensure statistical relevance, (with the help of ChatGPT) I estimated the U.S. population of women disc golfers at 30,000–70,000 and used the lower bound as the working population. The survey closed at 394 responses, achieving approximately a 95% confidence level with a ±5% margin of error for most findings.

Radar Plot Showing Event Type Preferences

Survey Design and Deployment

I designed the survey to balance brevity and insight, minimizing drop-off while capturing meaningful data. Responses were gathered through a combination of targeted Meta advertising and an existing, growing audience.

Goal 1: Identify what motivates women to compete in tournaments?

Various motivations:  

·      I want to compete to meet new people

·      I want to compete to post about my achievements on social media

·      I want to compete to improve my game

·      I am trying to get sponsored

Goal 2: Identify what time of year women prefer to compete in tournaments?

Various times of year

·      I can only compete in tournaments in the summer because…

·      I can only compete in tournaments in the spring/fall because…

·      I can only compete in tournaments in the winter because…

Goal 3: What types of courses do women prefer for recreational and competition?

·      Various types of courses

·      Short (under 250 ft holes) and Open courses

·      Short (under 250 ft holes) and wooded courses

·      Short (under 250 ft holes) and mixed courses(half wooded and half open)

·      Long (250ft + holes) and Open courses

·      Long (250ft + holes) and wooded

·      Long (250ft + holes) and mixed courses (half wooded and half open)

Goal 4: What types of tournaments do women prefer?
Goal 5: What types of clothing do women buy for recreational and competition?
Goal 6: What style of clothing do women prefer for recreational and competition?

Link to survey >

Data Visualization

To effectively communicate results, I developed custom data visualizations using Plotly, prioritizing clarity, accuracy, and usability. This approach allowed me to present richer insights than standard tools like SurveyMonkey, making the findings more actionable for both product design and community growth.

Visit the full results page >

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