Coaching intelligence for endurance coaches

Turn athlete data into coaching decisions.

Your athletes generate more data than you have time to review. Threshold reads across your whole roster and surfaces what changed, who needs attention, and why it matters — so your hours go to coaching, not to clicking through charts athlete by athlete.

Free to start · No credit card · Flat pricing at any roster size

Coach Command Center

Tue · 6:42 AM

12

Athletes

3

Need review

2

Race ≤ 21d

87%

Check-ins wk

Review queue — highest signal first

SHS. Hartley
Review suggested

Legs feel down 4 check-ins in a row while load held steady

MOM. Okafor
Races in 12 days

Race prep on track · fueling rehearsal logged Tuesday

JRJ. Ruiz
Adapting well

Energy trending up at reduced volume · 5 check-ins this week

Next race: M. Okafor · 12 days9 athletes steady

The problem

Training data is everywhere. Coaching insight is not.

Serious coaches don’t lack data — between the training log, the wearables, the spreadsheets, and the athlete texts, there’s too much of it. What’s missing is prioritization: knowing what changed, and which of it deserves your attention first.

Review happens athlete by athlete

Open a file, scan the charts, reconstruct the story, move to the next one. With ten athletes that ritual eats a morning. With thirty, something gets skimmed — and the athlete who needed attention is usually the one you skimmed.

The charts don’t say what changed

Pace, power, HR, load — the numbers are all there, but the interpretation is all on you. Spotting that an athlete’s response quietly shifted two weeks ago means holding thirty baselines in your head.

Subjective and objective live in different places

The training log says the workout was completed. The athlete’s text says their legs are dead. Connecting how athletes feel to what the data shows still happens manually — in your memory, across two apps.

Early signals get found late

A fading athlete looks fine right up until the workout quality drops. By the time a problem is obvious on a chart, it’s already expensive. The signal was there earlier — someone just had to be looking.

Beyond the training log

Your training log is doing its job. Threshold is the layer above it.

Platforms like TrainingPeaks are strong at planning and logging training — keep using them. Threshold sits on top of that work and does the part they leave to you: interpreting the data, prioritizing the roster, and turning what changed into what to do next.

What was planned and what was completed

What actually changed, and for whom

Athlete-by-athlete file review

Roster-level priorities every morning

Raw charts you interpret yourself

Highlighted changes with the context attached

Workout data on one side, athlete texts on the other

Check-ins and training data read together

Data display

Decision support

A review routine you build and maintain

A prioritized coach workflow, built in

Get early access

Works alongside your planning stack — nothing to migrate.

The coach dashboard

One morning view of the whole roster.

The Coach Command Center opens on the questions that actually drive a coaching day — who needs attention, who races soon, who is off-protocol, who went quiet — with the reason for every flag attached. Triage first, then coach.

Roster health at a glance

Who’s progressing, who’s off-protocol, who’s missing data, who races soon — before you open a single athlete file.

A needs-review queue with reasons

Athletes surface with the why attached: a check-in trend change, missed protocol days, a gap in the data. Not just a name — a starting point.

Check-ins read against the training

Athletes report legs feel, energy, and RPE in about 30 seconds. Threshold compares every check-in against the interventions of the prior 48 hours and surfaces what’s actually moving training quality — per athlete.

Compliance without chasing

Assign structured protocols — heat, gut, sleep, fueling — to an athlete or a whole group, then watch execution patterns instead of sending “did you do it?” texts.

Race prep risk across the roster

Race blueprints sequence fueling, hydration, and pre-race protocols from each athlete’s own logged baseline — and show you where prep is on track or slipping.

Notes and messaging next to the data

Coach notes, shared resources, and athlete messages live beside the numbers they’re about, so the conversation and the evidence stay in one place.

Signals are decision support, not verdicts. Threshold flags trend changes and suggests review — the read on the athlete, and the call, stay yours.

The analytics

Eight ways of seeing an athlete, one platform.

Threshold’s analytics are being built pillar by pillar with working coaches. Check-in trends, intervention correlations, protocol compliance, and race-prep oversight are live today; deeper load-response and durability analytics are the roadmap — built in the open, not promised as magic.

Load and response

Not just how much work was done — how each athlete is absorbing it, and when the relationship between the two shifts.

Fatigue and readiness signals

Check-in trends read against training load, flagged as trend changes and review suggestions — early enough to matter, never dressed up as certainty.

Consistency and compliance

Missed-session patterns and protocol execution across the roster, so inconsistency shows up as a pattern instead of an anecdote.

Subjective feedback trends

Legs feel, energy, and RPE tracked over time and correlated with what the athlete actually did — the half of the picture most platforms leave in your text messages.

Race readiness

Prep protocols, fueling rehearsals, and taper context tied to a date on the calendar — with roster-level visibility into who’s on track.

Risk signals

Rising-fatigue patterns, under-recovery reports, and plateau risk surfaced as signals for your judgment — “review suggested,” not a verdict.

Performance progression

Whether each athlete is improving, flat, or declining against their own history — not against a population average that doesn’t coach them.

Coach-athlete communication

Turn what the data shows into language athletes understand, so the why behind an adjustment lands as clearly as the adjustment itself.

The payoff

Answers in minutes that used to take a morning.

Roster review stops being an excavation. These are the questions Threshold is built to answer before your coffee is done:

Review your roster faster
Which athletes need a check-in today
Who is absorbing training well
Who is trending toward overload
Who is missing key sessions — and whether it’s a pattern
Who is improving despite lower volume
Who is hitting workouts but reporting poor recovery
Who needs a plan adjustment before race week
Where performance is improving, flat, or declining

A coach’s day with Threshold

From open tab to informed decision in five steps.

01

Open Threshold

One morning view of the whole roster — not thirty tabs.

02

See the priorities

The review queue is already ordered: who needs attention, who races soon, who went quiet.

03

Review with the reason attached

Every flag carries its why — the trend change, the missed protocol days, the check-in pattern — so review starts at the signal, not at a blank chart.

04

Adjust and communicate

Change the plan, assign a protocol, or send feedback the athlete’s own data backs up.

05

Watch the response

The next check-ins show whether the adjustment landed — closing the loop most coaching stacks leave open.

Grounded, not hyped

Built for endurance coaches. Honest about what’s built.

Threshold is designed around real coaching workflows — roster triage, athlete check-ins, structured protocols, race prep — and it’s early. We’d rather say so than manufacture social proof. Coach case studies will appear here as the first cohort earns them. What you can verify today: the research library, the pricing, and the product itself — free to try before you commit anything.

And one principle that won’t change: Threshold informs your judgment. It doesn’t replace it.

72

peer-reviewed papers in the research library

19

protocol topics, from heat to gut training

~30s

per athlete check-in — signal without homework

1 rate

flat coach pricing, 5 athletes or 50

Self-coached?

The same analytics, pointed at your own training.

Log interventions, check in after sessions, and see what actually moves your training quality — the engine coaches use, on a roster of one.

Start as an athlete →

Early access · Free to start · Flat coach pricing

See the signal before it becomes a problem.

Set up your roster in an afternoon. Athletes join free, check-ins start flowing, and your morning review gets shorter — and sharper — from the first week.

No credit card required · Athletes join your roster free