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  • BIKE FIT - ONLINE BOOKING,SERVICES,Bike Mob,Bike Mob
  • BIKE FIT - ONLINE BOOKING,SERVICES,Bike Mob,Bike Mob

BIKE FIT - ONLINE BOOKING

  • R 1,100.00
  • - 0%
BIKE FIT - ONLINE BOOKING
Why Use ErgoFiT?

Extremely Retail Efficient

ErgoFiT has been proven to be fast and accurate, perfect for a retail environment.

Scientific Process

Removes subjective decisions and guesswork.

Easy to Use

Low Threshold of Experience Required as the IP of the system lies in the system, not the fitment staff.

6 Point Optimisation Steps

Predictive and 6 point optimisation steps are independent – Level of redundancy corrects for almost all possible errors made by the fitter.

Large Customer Database

Complete database of all customers, including their bikes. Easy to update client profile, check an existing bike fit or start a new bike fitting altogether

Why is a personalised fitting so important?

We like to use this example to get the point across:

John & Simon are twins. John is a professional who rides 25 hours a week and has done so for the last 10 years. Simon doesn’t ride at all, but is now getting his act together & giving riding a go. If they both go for a bike fitment using traditional fitting methods, they would more than likely end up with the same seat height, saddle setback, reach and handlebar drop. This doesn’t make sense does it? John’s body may be more flexible and is clearly going to be more adapted to riding a bike. This would probably mean a position where he would be more efficient at producing power from a position that is more aggressive and with a greater saddle height and setback, while Simon would probably require the opposite. With an ErgoFiT fitment, both riders would have very different fitment outcomes.

Why is a predictive component of the fitting so important?

Without a predetermined set of parameters it is not possible to determine the correct frame size. An incorrect frame size can be manipulated to create the impression that the bike fits, but there will be consequences such as compromised handling or sub-optimal muscle recruitment patterns.

For example, a frame that is too large can be adjusted to fit a rider by shortening the stem and moving the saddle further forward. However, this will result in under-steer and the possibility that the front wheel will slide out in sharp turns or in wet conditions. In addition, it will result in over recruitment of the quadriceps, placing them at risk of premature fatigue.