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.
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.

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.
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
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…
· 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)
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 >