Ha ha, I wasn’t suggesting I’ve done it. My point was it could be done if you so chose to. I imagine screen scraping is against every companies terms and conditions, yet there is an entire industry based around selling scraped data.
Anyway, you’re right, an opt-in community is indeed a much better idea.
Given that TR has accomplished as much as you have, my guess is that you already have plenty of ideas. But, simple & valuable things would be optimizing the training plans for riders after they’ve logged a given amount of riding. This might rely more on getting ALL of a rider’s power+HR data into the system, assuming that most cyclists don’t exclusively do TR, that they’re riding outside plenty, racing etc. You should be able to see what sort of approaches tend to yield what sort of results.
For instance, I’m sure there are riders who’ve read all the papers lionizing polarized training who select TR workouts and do their own plans. You can likely identify what sort of results (i.e., changes to FTP) they’re getting.
OR, you might even up-end certain training assumptions, like the hegemony of FTP in the first place
Not a bad idea actually. It would be nice if TR had some plans with a 2/1 rather than a 3/1 or 5/1 rhythm (I don’t think there are any?) Personally, I find the 3/1 rhythm OK, but was hanging by week 4 of my last SSB2!
I guess the one of the key things here for both TR and Users would be what Actually makes people faster. This is a tough one how do you get the actual results for a user and how do you determine if they did well in a race or whatever (accounting for weather etc). Maybe looking at different power buckets and the improvements in those and attribute those to different rider profiles or goals - say if you’re training for 10/25 mile TT then the plan that benefits your FTP would be best or if you’re doing Crits then VO2 Max Power and repeatability would be best
As many people have said the big thing here is to say - my Big Goal or A Race is on X date. It’s Y type of race (TT/Road/Crit/XCO/CX/Tri) it’s Z distance and then based on my training history (+ Swim CSS and Running Cooper Test - if you want to get really fancy) and what TSS I can sustain then using the Global trends TR has calculated from the above schedule out the optimum training plan for me
TR could sell the data to Power Meter makers and Smart Trainer makers to help improve their products.
Also sleep tracking vs performance would be interesting
Problem is that this just kicks up more features for the app to capture the data anyway!
I know you’re being sarcastic (or at least I think you’re being sarcastic) but for those of us tracking all of these things it is a feasible goal to have this done in the next few years.
Data I have entered into a database that could be correlated to my fitness and fatigue include:
Sleep time (Polar)
Sleep quality (Polar)
Resting HR (Polar)
Activity level (Polar)
Calories consumed (MyFitnessPal)
Training Stress (Strava, TrainerRoad, and Training Peaks have all of this - Garmin has a subset)
Weight (digital scale)
Body composition (digital scale)
All of this paints a fairly complete picture of me as an athlete and, with a post-workout self assessment, could be used to determine more realistic targets.
You saw companies like Xert and Garmin starting to play in this over the past year or two and there is still a long way to go - to me they clearly aren’t there yet.
I think there are a few comparatively easy wins to be had by beginning to integrate activity and sleep tracking metrics but even people who have single source of this (Garmin) really struggle with it across devices (get one of their fancy watches and see how the data doesn’t show up on your bike computer showing fatigue correctly…come on Garmin, get your act together).
For someone like TrainerRoad I’d love to see them do something a bit simpler like analytics on breaking within a given workout and simply giving users the suggestion or option to dial it back for subsequent workouts of a similar type.
Beyond that it is all about integration. You have to be able to consume and process data from a huge variety of sources and get it into consistent structures. As a simple example - every sleep tracking company seems to use a different algorithm and store data in a different way. This needs to be standardized from a messaging standpoint such that the limitations of activity tracker X don’t force everyone who wants to consume their data into a strange data quality gap.
There’s a ton to do here but the data is available and someone will pull it all together. Xert has the ‘first to market’ advantage here but their solution is far from complete and they have not established themselves enough to dominate the market in any way shape or form
My comment was only really partly a joke because it seems a little far fetched right now, but I totally agree with you. I think that this is definitely the future.
My guess is that the challenge for those of us on the consumer side will be finding the algorithm that the delivers the outcome we are looking for. If it’s a power to weight goal or even body fat percentage then it may be fairly easy for a company to plug and chug the numbers for us using big data.
Companies racing this tool to the market will probably try to sell it on intangibles like race wins and confidence that are nearly impossible to measure.
My suggestion is twofold, and pretty low-hanging I should think.
Analyze completion rates of individual workouts. This came to me during SS base low vol 1 when doing Palisade, 5x(1-2min) over/unders. I knew probably in the 3rd set that I wouldn’t manage the entire thing as prescribed, while I breezed through all other workouts in the plan. So the 5th set was done at 85% of the intended intensity, making for a “failed” workout.
I suggest all workouts be analyzed for this, creating statistics for each workout within each plan. This should pinpoint workouts that are too hard for the intended spot in the rider’s training curve.
Create a community - allow users to friend or add each other to track each other’s progress more easily, brag, encourage and even challenge. Even better, make the stats from point 1 public to add a very interesting dimension into bragging rights … “I completed Palisade in SSI which only 8% of all users can do … how about you?”
This is what Xert does. Assuming you do a hard interval every so often your FTP will stay up-to-date. I tested it a while back and found their maxmum power available approach to work really well on the first interval when I was fresh. However, it didn’t seem to take into account cumulative fatigue.
I would love TR to be able to predict my expected FTP bump based on completing a plan (with a +/- tolerance) and dynamically alter it based on my completion rate of individual work outs etc. Personally I would find that a great motivational tool.
Also if the calendar function could predict FTP across multiple plans based on typical results by age group etc. that would be super useful to see what you could potentially achieve based on which plan/volume you pick.
I’d also be happy to allow wearable metrics to be imported plus data from other apps such as MFP, anything that helps paint a clearer picture of achievement and potential, and thus gives me a more efficient training plan