@PavlovsDogzCyclist of course
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AI FTP Detection does factor in both inside and outside power data. TrainerRoad is able to see the culmination of all of your efforts, including outdoor unstructured rides. So totally ok to enjoy riding with friends in this terrific weather!
That said, the most effective way to raise FTP is through structured interval training designed to target specific energy systems. While unstructured riding does bring fitness, it may not be the most efficient way to bump those FTP numbers.
On the other hand, you have Progression Levels, which are designed as an internal TR benchmark to recommend TR workouts. It is only natural for them to decrease if you are not completing structured TR workouts, but these adjust fairly quickly once you start completing workouts again. Progression Levels do not currently take into account unstructured riding, but this does not mean that if they go down, your AI FTP Detection does too. These can exist a bit independently of each other.
Using your recent PRs as a proxy for whether your FTP should be going up or down, can seem totally reasonable at face value. But the thing with these specific types of efforts (It sounds like a race-type effort or something more variable you are describing) is that they typically arenāt the best for getting an FTP estimate. Activities with larger discrepancies in normalized vs average power over some period of time (say 60mins), can make it tougher to glean a reliable FTP estimate from that activity alone.
Most other platforms use all-out efforts (commonly called capacitive efforts) to estimate your FTP using an FTP estimation model. This means that they rely on you completing maximal efforts within your training data.
For example, if you had a very hard 20-minute climb during a ride (ridden at ~ 105% or greater of current FTP), they might use that effort to estimate a higher FTP. Our model does not rely on capacitive efforts. Instead, our model predicts your FTP based on your training history and your personal biometrics, along with many other features. Capacitive efforts and FTP tests rely on one performance. AI FTP Detection accounts for much more with a broad range of data points.
In short, AI FTP Detection is designed to give you a training benchmark (FTP) that represents the full scope of your demonstrated abilities, so you get the most productive training possible.
As @UWDawgs mentioned, you can always perform the workout Marion to test out your FTP at 270. Thatās a 4.2 Threshold workout at 3x12 @ 98%. If you can do it, then youāll give TrainerRoad more data to lock you in. If you have problems in that workout, weād recommend moving forward with the original AI FTP detection.
Lastly, to answer your question about whether you should find a TR Workout that is similar to match your unstructured ride, the answer is typically no. We donāt recommend matching a TR Workout to a ride file unless youāve followed the workoutās structure because youāre essentially giving the system bad data (telling it you did something you didnāt, haha). This can negatively impact Progression Levels.
As I mentioned above, the system takes into account all rides with power data, whether theyāre indoors or outside, structured or unstructured. This can include group rides, races, and even rides on other indoor training apps synced to TrainerRoad.
Hope this addresses your concerns!