The Power of User Research to Increase Fitness Accessibility
summary
Peloton builds the Row with a realtime sensor-based Form Assist that flags rounding, weak leg drive, and rushing the catch, and integrates Android Talkback so non‑sighted members hear error cues; calibration is required and often confuses users because activation needs a tactile double‑tap. Recruitment uses a nonprofit panel, accessible Google Forms, and onsite sessions in New York. Research uses observational, qualitative and quantitative measures and an adapted Fable scale producing an AWS score 67 (11 points above average), showing strong baseline accessibility but clear calibration and sensory‑load gaps.
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chapters (6)
- 0:00Introduction and team overview
- 8:17Introducing Peloton Row and Form Assist
- 15:44Key accessibility considerations in research
- 23:18Recruitment and planning for accessibility studies
- 31:03Data collection and measuring accessibility
- 37:38Q&A session
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