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Perfect Mountain Bike Suspension Adjustment Using Data Acquisition?

Data, data, data. It’s hard to imagine a corner of our lives that isn’t in some way tied to its collection, aggregation, or monetization. Even our mountain bikes, often the preferred get-away vehicle from an increasingly computer-driven world, aren’t fully off the grid anymore. But is that so bad? If we could collect enough data about our own mountain bikes, the suspension and how we ride them, could we make ourselves faster or even better riders and racers? One need only to look to the UCI Mountain Bike World Cup Downhill scene over the past few seasons to find riders trying to do just that. The use of data acquisition systems in MTB is nothing new - I remember seeing them as far back as the late 90’s. It's only recently that they’ve become an indispensable tool for race preparation. Take a quick walk through the pits at a big bike race, and you’ll see more than a dozen different systems all going about similar business, just using slightly different approaches. Talk to the racers or the bike mechanics, and they’ll all give you the predictable story about how data acquisition helps with bike suspension setup, but they hold real details closer to the chest. Aside from top-tier racers, their mechanics and engineers, most of us are left to guess at what that spread of sensors is measuring or what the graphs they generate might mean, let alone the dark art of converting all of that information into optimal bike performance on the trail. If you’ve puzzled over all this computing power as much as we have, you’re in luck. Legendary World Cup Downhill bike mechanic-turned-data-guru, Dave Garland, invited Vital to a private test session with his latest Stendec Data Acquisition System to see if all that data could actually improve my suspension setup, my riding and my personal best race times.