What if we flipped the conventional approach to choosing gravel bike frame sizes on its head, and instead of relying solely on rider height and inseam, we prioritized factors such as flexibility, core strength, and riding style to determine the optimal frame size?
Would this lead to a more comfortable and efficient ride, as riders with different body types and abilities are better matched to frames that complement their individual strengths and weaknesses? Or would it create a new set of problems, such as difficulty in finding frames that fit specific needs or increased risk of injury from ill-fitting bikes?
Consider a scenario where a rider with a strong core and excellent flexibility is able to ride a smaller frame size with ease, while a rider with a similar height and inseam but less flexibility struggles with a larger frame size. Would this approach to frame sizing reveal new insights into the relationship between rider physiology and bike fit, or would it simply add unnecessary complexity to the bike-buying process?
Could we take it a step further and incorporate data from 3D body scans, muscle mapping, and other advanced technologies to create highly personalized frame size recommendations? Would this level of customization lead to significant improvements in rider performance and comfort, or would it be a case of over-engineering a solution to a relatively simple problem?
Would this lead to a more comfortable and efficient ride, as riders with different body types and abilities are better matched to frames that complement their individual strengths and weaknesses? Or would it create a new set of problems, such as difficulty in finding frames that fit specific needs or increased risk of injury from ill-fitting bikes?
Consider a scenario where a rider with a strong core and excellent flexibility is able to ride a smaller frame size with ease, while a rider with a similar height and inseam but less flexibility struggles with a larger frame size. Would this approach to frame sizing reveal new insights into the relationship between rider physiology and bike fit, or would it simply add unnecessary complexity to the bike-buying process?
Could we take it a step further and incorporate data from 3D body scans, muscle mapping, and other advanced technologies to create highly personalized frame size recommendations? Would this level of customization lead to significant improvements in rider performance and comfort, or would it be a case of over-engineering a solution to a relatively simple problem?