310 results found

1. Add Dedicated "Trail Running" Sport Type with Independent Training Zones

   Hi TrainingPeaks Support Team,
   I am writing to suggest a feature enhancement regarding sport type classifications and threshold zone management within TrainingPeaks.
   Currently, running activities encompass both road and trail running under a single "Run" category. However, the biomechanical and physiological demands of trail running—due to technical terrain, continuous elevation changes, and foot strike variability—differ significantly from road running.
   Because of these differences, key metrics such as heart rate distribution, pace (even Grade Adjusted Pace), and running power do not translate directly between road and trail environments. Having a unified set of zones for both disciplines skews threshold metrics, normalized grading, and training stress calculations (rTSS).
   I would like to request:
   Dedicated Sport Category: Adding "Trail Running" as an independent sport/activity type across the platform.
   Independent Zone Configuration: Allowing athletes and coaches to set individual threshold values (Heart Rate, Pace, and Power) specifically for Trail Running, separate from Road Running.
   Automated Sync & Filtering: Updating platform analytics and device sync options to categorize trail activities automatically and calculate training loads accurately.
   This distinction would greatly improve individualization, load management, and data accuracy for endurance athletes and coaches operating in off-road environments.
   Thank you for your time and for continuously improving the platform.
   Best regards,

   Hi TrainingPeaks Support Team,
   I am writing to suggest a feature enhancement regarding sport type classifications and threshold zone management within TrainingPeaks.
   Currently, running activities encompass both road and trail running under a single "Run" category. However, the biomechanical and physiological demands of trail running—due to technical terrain, continuous elevation changes, and foot strike variability—differ significantly from road running.
   Because of these differences, key metrics such as heart rate distribution, pace (even Grade Adjusted Pace), and running power do not translate directly between road and trail environments. Having a unified set of zones for both disciplines skews threshold metrics, normalized… more

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2. Running impact

   New Metric Proposal: Impact Load / Vertical Impact Load

   Product suggestion for TrainingPeaks

   Submitted by: Allostrain (ultra-trail and mountain endurance coaching methodology)
   Date: August 2026

   ---

   1. Executive Summary

   TrainingPeaks robustly quantifies the metabolic/cardiovascular load of training (TSS, IF, rTSS, etc.), but has no native metric that quantifies the vertical impact mechanical load placed on the musculoskeletal system during running — particularly relevant in trail running, skyrunning, mountain running, and any discipline with significant elevation change (especially technical descents).

   We propose that TrainingPeaks incorporate a complementary metric — which we will call the Impact Load Score (ILS) — focused on accumulated structural/mechanical load, independent of energy expenditure, in a way analogous to how TSS complements RPE.

   2. The Problem: A Blind Spot in the Current Load Model

   TSS and its derived metrics assume that fatigue is fundamentally metabolic. However, in vertical-impact sports there are two partially independent fatigue pathways:

   • Metabolic/cardiovascular fatigue — well covered by TSS, HR-based TSS, power, etc.
   • Structural/mechanical fatigue — muscle damage induced by repeated eccentric loading, especially on descents, which can be high even at moderate cardiovascular intensity.

   Two sessions with the same TSS can carry completely different risk profiles if one takes place on flat terrain and the other includes several thousand meters of technical descent. The athlete may appear "recovered" according to TSS while the musculoskeletal system is severely damaged.

   The scientific literature supports this distinction:

   • Descents generate the greatest eccentric braking forces of a run, and are the primary driver of structural damage in trail and ultra-trail running, exceeding the cardiovascular demand of climbs themselves.
   • In ultra-trail races with high negative elevation (>1000 m), markers of muscle damage (CK, LDH) rise very sharply — far beyond what energy expenditure or average heart rate alone would suggest.
   • Peak vertical acceleration (measured via accelerometry, whether at the ankle, tibia, or even wrist/chest-worn devices) is a good surrogate for ground reaction force (GRF), the laboratory gold-standard variable for impact.
   • Cumulative load models based on summing peak vertical acceleration per stride explain real-world load better than purely GPS-based parameters (pace, distance).
   • Vertical instantaneous loading rate (VILR) and peak tibial acceleration have been retrospectively associated with overuse injuries such as tibial stress fractures.

   3. Proposed Metric: Impact Load Score (ILS)

   3.1 Concept

   A composite index, expressed on an arbitrary scale (analogous to TSS), quantifying the accumulated vertical impact load of a session by integrating:

   • Vertical acceleration / impact per stride (data already available on many watches and chest straps with an IMU: Garmin, COROS, Suunto, Polar).
   • Negative gradient (%) and its duration, weighted non-linearly — very steep gradients generate disproportionately more structural damage than moderate ones, not in simple proportion.
   • Cadence and stride length, since at equal gradient and speed, longer strides and lower cadence increase peak load per footstrike.
   • Accumulated negative elevation (D-), as a coarse proxy when accelerometry data isn't available (fallback mode).

   3.2 Differentiation from Existing TSS

   | | TSS / IF | Impact Load Score (proposed) |
   |---|---|---|
   | What it measures | Metabolic/cardiovascular cost | Mechanical/structural cost |
   | Sensitive to | Intensity, duration, power/HR | Negative gradient, slope, cadence, impact |
   | Fatigue pathway | Systemic (cardio-metabolic) | Local (muscular, tendinous, articular) |
   | Primary use | Dosing training load | Dosing injury risk and structural recovery needs |

   3.3 Practical Applications for the End User

   • Acute:chronic impact ratio, just as already exists for TSS, to flag risky spikes in structural load (e.g., after a race with heavy negative elevation).
   • Structural recovery alerts independent of metabolic recovery: an athlete can be cardiovascularly "fresh" well before being structurally recovered.
   • Session comparison for workouts that look equivalent in TSS but are nothing alike in injury risk (e.g., a mountain run with heavy technical descent vs. a track interval session).
   • Particularly valuable for the trail running, ultra-trail, skyrunning, and ski mountaineering user segment — a growing part of TrainingPeaks' user base with monitoring needs distinct from flat-terrain cycling/triathlon, where the original TSS model was born.

   4. Technical Feasibility

   • Many sports watches already compatible with TrainingPeaks (Garmin, COROS, Suunto, Polar) already include an accelerometer/IMU, and in some cases already expose impact/"shock load" data within their own ecosystems (though in an isolated, non-standardized way).
   • When accelerometry data isn't available, the metric could be calculated in a simplified mode using only altimetry (D-) and per-segment gradient, available in any GPX/FIT file with a barometer.
   • This would allow a progressive rollout: a basic version (altimetry only) available to all users from day one, and an advanced version (with accelerometry) for compatible devices.

   5. Summary of the Request

   We ask TrainingPeaks to consider incorporating a vertical impact load metric complementary to TSS, specifically aimed at vertical-impact sports (trail running, ultra-trail, skyrunning, mountain running), with the goal of closing the current blind spot between metabolic load and structural load, and giving coaches and athletes a more complete tool for managing injury risk and real accumulated fatigue.

   ---

   References Consulted

   • Cumulative load estimation via accelerometry vs. GPS-based parameters in running — Frontiers in Sports and Active Living, 2020. https://www.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2020.575596/full
   • Tibial acceleration-based prediction of maximal vertical loading rate — Frontiers in Bioengineering and Biotechnology, 2020. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010603/
   • Peak impact accelerations and running-related injury risk — PMC, 2022. https://pmc.ncbi.nlm.nih.gov/articles/PMC8931222/
   • Review of uphill and downhill running biomechanics and physiology — Frontiers in Bioengineering and Biotechnology, 2025. https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2025.1690023/full
   • Exertional rhabdomyolysis and eccentric load in ultra-trail races — systematic review, PMC, 2024. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12225290/
   • Mechanical load, heat strain and dehydration in endurance trail runners — PMC. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508486/

   New Metric Proposal: Impact Load / Vertical Impact Load

   Product suggestion for TrainingPeaks

   Submitted by: Allostrain (ultra-trail and mountain endurance coaching methodology)
   Date: August 2026

   ---

   1. Executive Summary

   TrainingPeaks robustly quantifies the metabolic/cardiovascular load of training (TSS, IF, rTSS, etc.), but has no native metric that quantifies the vertical impact mechanical load placed on the musculoskeletal system during running — particularly relevant in trail running, skyrunning, mountain running, and any discipline with significant elevation change (especially technical descents).

   We propose that TrainingPeaks incorporate a complementary metric — which we will call the Impact Load Score (ILS) — focused on accumulated… more

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3. Make interval detection visually more appealing and easier to read, also improve detection, intervals.icu does it better.

   Make interval detection visually more appealing and easier to read, also improve detection, intervals.icu does it better. So much easier workflow on intervals.icu to automatically or manually detect intervals by duration or distance.

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4. Add a Carbohydrate field to workouts (target and actual)

   Given the criticality of high carb intake for training, it seems important as a feature. I suggest a new row Carb Grams for manual/completed.

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5. Have a category for kayaking

   A lot of multisporters are training for kayaking so it would be usefulto be able to log it as kayaking, not "other." I know there is a subcategory, but this seems pretty useless, as I still can't see kayaking on my summary.

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6. Stack up display and persistence

   I’m not a big user of Stack Up as mainly interested in in my own progress (or not) but where I find somewhat useful is relative ranking over time as I age as a masters athlete. 2 UX items make it clumsy
   - would be helpful to have the chosen filters displayed so one knows what one is seeing
   - persistence in filters chosen, as seems to revert to default (and nor relevant ) values each time I move away from the app

   These are both simple software fit and finish gaps that probably were probably scoped out in the initial development but got cut to push something out and the team never came back to complete. Hopefully with the acquisition appropriate resources are deployed to these and other unfinished capabilities.

   I’m not a big user of Stack Up as mainly interested in in my own progress (or not) but where I find somewhat useful is relative ranking over time as I age as a masters athlete. 2 UX items make it clumsy
   - would be helpful to have the chosen filters displayed so one knows what one is seeing
   - persistence in filters chosen, as seems to revert to default (and nor relevant ) values each time I move away from the app

   These are both simple software fit and finish gaps that probably were probably scoped out in the… more

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7. Show interval data on the summary tab when you hover on the intervals for planned workouts.

   On the summary tab for a planned workout, you can hover over the intervals in the workout builder and it'll tell you the planned time and rpe/pace, etc. It would be really cool if when you complete the workout the lap data would be fed into the hover. It would be a much easier way to see how you executed the workout in my opinion. Screenshot of suggested functionality attached.

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8. Time in Zones for Selected Workout Section

   Time in Zones for Selected Workout Section

   It would be extremely useful to select any portion of a workout and view the time spent in each training zone (heart rate, pace, or power) for that specific section.

   For example, after highlighting a section of the workout, TrainingPeaks could display a zone distribution chart showing:

   • Time in each heart rate zone
   • Time in each pace zone
   • Time in each power zone (if available)

   This would make it much easier to analyze the intensity of specific workout segments, such as the main set, tempo blocks, or climbs, without being limited to the entire activity.

   Time in Zones for Selected Workout Section

   It would be extremely useful to select any portion of a workout and view the time spent in each training zone (heart rate, pace, or power) for that specific section.

   For example, after highlighting a section of the workout, TrainingPeaks could display a zone distribution chart showing:

   • Time in each heart rate zone
   • Time in each pace zone
   • Time in each power zone (if available)

   This would make it much easier to analyze the intensity of specific workout segments, such as the main set, tempo blocks, or climbs, without being limited to the… more

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9. Combined Statistics for Selected Laps

   I would love to see the ability to select multiple laps and view their combined statistics, similar to the functionality available in COROS Training Hub.

   For example, after selecting several laps, TrainingPeaks could display:

   • Total time
   • Total distance
   • Average pace
   • Average heart rate
   • Average power
   • Elevation gain

   This would make analyzing interval workouts much faster and eliminate the need to manually calculate the combined metrics for work intervals.

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10. Map and graphik

    In the app, in the map and graph tab, the layout is not correct since the last update. You can't see the if, ef, vi, ... numbers anymore.

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11. Adjust strength workout time

    I started a strength workout on a Tuesday, wasn't able to finish, then on Wednesday finished the remaining items and it says I did 22 hours of strength training and my dashboard is all out of whack. I cannot seem to modify the total time via the web or the app.

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12. Injury tracking with a daily pain score and PMC overlay

    TrainingPeaks tracks everything that builds fitness, but nothing that breaks it. I'd like to see injury tracking added as a first-class data type, not a metric comment buried in the calendar.

    Four parts:

    1. A dedicated injury entry type. Log an injury via a visual body map plus a structured body-part list (so it's selectable data, not free text). Each entry holds detailed descriptors, rehab methods, and attachments from a physio or medical professional, all in one place on the calendar.

    2. A daily pain score out of 10. The entry repeats daily, so the athlete logs where the injury is at each morning. Over days and weeks this shows duration and whether pain is trending up or down, and whether the current load is helping or hurting.

    3. A PMC overlay. Plot injury onset and pain scores against the Performance Management Chart: CTL, ATL, TSB, and intensity factor. Most overuse injuries trace back to spikes in volume or intensity. With injuries on the same chart as load, the pattern becomes visible.

    4. The payoff: a personal injury danger zone. Over time the overlay tells each athlete the story of their own breakpoints, the fatigue and ramp-rate conditions where injuries historically appear. That's an early-warning signal: see it coming before it becomes a training-block interruption.

    Consistency is the single biggest driver of endurance performance, and injury is the single biggest threat to it. This closes the loop between the load data TP already has and the health outcomes athletes care about most.

    TrainingPeaks tracks everything that builds fitness, but nothing that breaks it. I'd like to see injury tracking added as a first-class data type, not a metric comment buried in the calendar.

    Four parts:

    1. A dedicated injury entry type. Log an injury via a visual body map plus a structured body-part list (so it's selectable data, not free text). Each entry holds detailed descriptors, rehab methods, and attachments from a physio or medical professional, all in one place on the calendar.

    2. A daily pain score out of 10. The entry repeats daily, so the athlete logs where the injury is at… more

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13. Having training readiness on the home screen and calendar for planning would be great!

    Training Readiness is available on the app. It would be great to have this on the calendar and home screen.

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14. Allow a Claude Connector to access Training Peaks

    This would allow claude to dig deep into training peaks data and create custom recaps for my athletes.

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15. Add Estimated Duration for Strength Workouts and Distance for Run Sessions

    It would be very useful to have an estimated duration for strength training workouts and an estimated distance for running workouts (walking/running), so that athletes and coaches can better plan and understand sessions more easily.

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16. Enable Planned Work (kJ) calculation for the Mtn Bike sport type

    Currently in the Structured Workout Builder, Planned Work (kJ) is only calculated when the sport type is set to "Bike". Switching the exact same workout to "Mtn Bike" causes the kJ field to go blank — even when FTP is configured for Mtn Bike Power and the workout is built in % FTP with Target intensity. Planned TSS and IF still calculate correctly in both cases; only kJ is affected.

    This was confirmed with TP Support (Anthony H.) and is not currently documented as a known limitation.

    Why this matters: for athletes who genuinely train and race on MTB — with separate FTP, separate analysis, and different fueling demands — having parity between Bike and Mtn Bike in the Workout Builder is a meaningful improvement. Planned kJ is especially important for fueling strategy in long MTB rides and ultra-endurance MTB events, where carb intake planning depends directly on expected work.

    The ask is simple: the kJ calculation should read the FTP from the active sport type, the same way it already does for the "Bike" sport type.

    Currently in the Structured Workout Builder, Planned Work (kJ) is only calculated when the sport type is set to "Bike". Switching the exact same workout to "Mtn Bike" causes the kJ field to go blank — even when FTP is configured for Mtn Bike Power and the workout is built in % FTP with Target intensity. Planned TSS and IF still calculate correctly in both cases; only kJ is affected.

    This was confirmed with TP Support (Anthony H.) and is not currently documented as a known limitation.

    Why this matters: for athletes who genuinely train and race on MTB —… more

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17. Freeletics

    I would Like to sinc TrainingPeaks with Freeletics. Would help a ton!

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18. Accurate blood glucose measurements

    When I input my blood glucose it always rounds down. E.g 6.3 is recorded as 6.0 once saved. Can you fix this to record accurately ?

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19. Comparing the planned and actual interval

    There is missing a function to get the data for a workout where you can see what planned speed/watts was and your actual metric was on top. I'm missing the ability to see if I managed to hit the mark or not

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20. Ai layer that texts the coach when workout is uploaded and gives brief analysis

    Make a “layer” between the athlete and coach. Right now, Strava gives you a 2 sentence Ai analysis of your uploaded ride within 30 seconds of uploading. No coach can ever compete with that.

    What if you did something similar, but gave the coach the “approval” power?

    Athlete uploads file.

    Ai does analysis

    Ai texts the coach- “Hey- your athlete uploaded a file. Here’s our analysis. Would you like to Approve? Reply with Y or N for No. Would you like to Add to this analysis? Reply with A.

    Coach replies with “A”. Coach types in, “Nice to see this Cam, You are really crushing it and I am proud of you for going for after the hard weekend you had. Looking forward to talking with you this week”.

    Ai then adds this to the Ai analysis and then sends a text or message to the Athlete.

    Here’s you analysis!

    It’s transparent so that the athlete knows that some of it is Ai, and some is from them.

    It adds value that a coach can’t do instantly.

    When coach is confident that the Ai analysis is dead on, then they can just “auto-approve” all Ai analysis. Maybe giving a 30 minute time window for the coach to reply/add-to in case they can’t get to the text right away.

    When 30 minute window times out, coach can select to either “auto-approve” or “Auto-disapprove” any Ai analysis. IF they disapprove, still send the Ai analysis to them in an email (hidden to the athlete) so they can use if wanted.

    Anyhow, that “layer” between the coach and the athlete is needed desperately. If someone(in the software world) doesn’t solve this asap, athletes will continue to stop coaching relationships. We are already seeing it in our business.

    Make a “layer” between the athlete and coach. Right now, Strava gives you a 2 sentence Ai analysis of your uploaded ride within 30 seconds of uploading. No coach can ever compete with that.

    What if you did something similar, but gave the coach the “approval” power?

    Athlete uploads file.

    Ai does analysis

    Ai texts the coach- “Hey- your athlete uploaded a file. Here’s our analysis. Would you like to Approve? Reply with Y or N for No. Would you like to Add to this analysis? Reply with A.

    Coach replies with “A”. Coach types in, “Nice to see this… more

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