The science

The research behind your plan

Every number Udapt gives you comes from a rule, and every rule is checked against published research. This page explains each one in plain English, shows you where it comes from, and is honest about how strong the evidence is. Where something is our own judgement rather than a proven finding, we say so.

Strong evidencereplicated, direct researchGood evidenceresearch supports the approach; exact numbers are sensible estimatesSome evidenceearly or mixed researchStandard practicehow professionals usually do itOur design choiceno research either way, so we chose

Readiness: how ready you are today

Each morning Udapt gives you a score from 0 to 10. It answers one question: compared with your own normal, how recovered does your body look today? The score then sets how hard today’s workout is and how much food you get.

Your score is built from your own Apple Health data. Your Apple Watch records your heart rate variability, resting heart rate and sleep into Apple Health; Udapt reads them there each morning, on your phone. Add the 5-question morning check-in and how you feel counts too. No Watch? The check-in alone is enough for a score.

The readiness scale: Recover 0 to 3, Ease off 4 to 6, Go 7 to 10. A score of 7 means you are at your normal.Recover: 0–3Recover0–3Ease off: 4–6Ease off4–6Go: 7–10Go7–107 = your normal
The 0–10 scale. Matching your normal scores 7, which is a Go. You don’t need a 10 to train well.

The five signals

Heart rate variability (HRV) Good evidence
The tiny, natural changes in the gap between one heartbeat and the next. When you’re well rested it usually sits at or above your normal. Hard training, alcohol and illness tend to pull it down — in a study of over 28,000 people, it fell about 10% on sick days. Single readings jump around, so Udapt uses your average over the last 7 nights: research found at least 3 readings a week are needed for a reliable picture. Apple Watch HRV is also less precise than a chest strap (one study found it read about 8 ms low, and was off by 29% on average), which is another reason Udapt looks at your trend rather than any single night.
Resting heart rate Good evidence
How fast your heart beats when you’re completely at rest. A few beats above your usual can be a sign of fatigue or of coming down with something — in the same large study it rose about 6% on sick days. Apple Watch measures resting heart rate accurately (within about 4 beats a minute).
Sleep length Strong evidence
Sleep experts agree adults need at least 7 hours a night for good health. Losing sleep also weakens workouts: a review of 69 studies found performance dropped after short nights, most consistently after waking early or staying up all night, and when training later in the day. The exact 7-hour line for workouts is our choice, based on the health guidance.
Sleep timing Some evidence
Sleep experts agree that going to sleep and waking at regular times matters for health, safety and performance. It counts least of all, because its direct effect on the next day’s workout hasn’t been well studied.
Morning check-in Strong evidence
Five quick questions about sleep, energy, soreness, stress and mood. It sounds simple, but a review of 56 studies found that how people say they feel picks up the strain of training at least as well as heart or blood tests. The middle answer is “usual for me”, so it works from your first morning.
How much each signal counts: heart rate variability 30%, morning check-in 30%, resting heart rate 20%, sleep length 15%, sleep timing 5%.Heart rate variability: 30% (from Apple Health)30%Morning check-in: 30% (from You)30%Resting heart rate: 20% (from Apple Health)20%Sleep length: 15% (from Apple Health)15%Sleep timing: 5% (from Apple Health)
  • Heart rate variability 30% Apple Health
  • Morning check-in 30% You
  • Resting heart rate 20% Apple Health
  • Sleep length 15% Apple Health
  • Sleep timing 5% Apple Health
How much each signal counts. Four of the five come from your Apple Health data. If one is missing that day, it’s left out and the others share its weight.

Our design choice The mix above is our choice. No study has worked out the perfect recipe for combining these signals. We gave the check-in as much weight as HRV because of the 56-study review above, and put HRV ahead of resting heart rate following the research on which is the more sensitive signal.

Compared with you, not with everyone

Good evidence A heart rate variability that’s high for one person is low for another, so comparing you with an “average person” tells you very little. Udapt compares each reading with your own last 30 days. That’s why it needs about two weeks of Apple Health data before your plan starts adapting. The check-in works straight away.

Illustrative example. A single low night barely moves the 7-night average, but a week of low nights pulls it well below your normal range.30405060your normal rangeNight 1: 52 ms (7-night average 52 ms)Night 2: 49 ms (7-night average 50 ms)Night 3: 54 ms (7-night average 52 ms)Night 4: 50 ms (7-night average 51 ms)Night 5: 47 ms (7-night average 50 ms)Night 6: 53 ms (7-night average 51 ms)Night 7: 33 ms (7-night average 48 ms)Night 8: 51 ms (7-night average 48 ms)Night 9: 50 ms (7-night average 48 ms)Night 10: 55 ms (7-night average 48 ms)Night 11: 48 ms (7-night average 48 ms)Night 12: 52 ms (7-night average 48 ms)Night 13: 50 ms (7-night average 48 ms)Night 14: 49 ms (7-night average 51 ms)Night 15: 41 ms (7-night average 49 ms)Night 16: 39 ms (7-night average 47 ms)Night 17: 42 ms (7-night average 46 ms)Night 18: 38 ms (7-night average 44 ms)Night 19: 40 ms (7-night average 42 ms)Night 20: 37 ms (7-night average 41 ms)Night 21: 39 ms (7-night average 39 ms)one rough nighta rough weekNight 1Night 7Night 14Night 21
  • Each night’s reading (ms)
  • 7-night average — what Udapt scores
Why one bad night doesn’t ruin your score. An illustrative example, not real data. Night 7 dips, but the average barely moves. From night 15 a whole week runs low, and the average drops clearly below normal.
Show as a table
NightReading (ms)7-night average
15252
24950
35452
45051
54750
65351
73348
85148
95048
105548
114848
125248
135048
144951
154149
163947
174246
183844
194042
203741
213939
The most a night's sleep can score: 4 hours 0, 5 hours 1.7, 6 hours 4.3, 6 and a half hours 5.7, 7 hours or more 10.051004h5h of sleep: at most 1.7 out of 101.75h6h of sleep: at most 4.3 out of 104.36h6.5h of sleep: at most 5.7 out of 105.76.5h7h of sleep: at most 10.0 out of 10107h8h of sleep: at most 10.0 out of 10108h9h of sleep: at most 10.0 out of 10109h
The 7-hour rule. The highest sleep score a night can get, by hours slept. Under 7 hours counts against you even if short nights are usual for you. Seven hours or more is never marked down — after that, you’re compared with your own normal.

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Training that adapts

Your readiness score picks one of three kinds of day. You can always tap Keep the original session — Udapt suggests, you decide.

ScoreWhat happens to today’s workout
Go 7–10Train as planned. If your last session went well, the weight or reps go up.
Ease off 4–6About a third of your main sets are dropped (never more than 40% of the session), and you stop each set when you could still do about 3 more reps. The weights stay where they were.
Recover 0–3An easy walk, some stretching, or rest is suggested instead. Your planned session is still one tap away.

Good evidence “Reps still in the tank” is how coaches judge effort without a lab: at the end of a set, how many more could you have done? It’s a well-tested way to adjust effort to the day. People tend to underestimate how many reps they have left by about one, and guesses get less accurate on sets above about 12 reps, so treat it as a guide. You don’t need to train to failure to build muscle.

Standard practice If you have three Recover days in a row, Udapt suggests a lighter week. Expert coaches define this kind of “deload” as a period of reduced training stress to help you recover; Udapt’s version is fewer sets at the same number of sessions, not a week off (our choice).

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Getting stronger over time

Good evidence Udapt uses a simple, widely used method called double progression. Each exercise has a rep range, say 8–12. You keep the same weight and add reps each session. When you reach the top of the range with reps to spare, the weight goes up by a small step next time. If you miss the bottom of the range twice in a row, it comes down a little. An 8-week trial found adding reps and adding weight both worked about equally well.

Standard practice The size of each weight step is a sensible convention rather than a researched number, and it’s rounded to the plates or dumbbells you actually have.

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Food targets

Each morning Udapt sets today’s calories, protein, carbs and fat. In the app, tap Why? on the Today’s food card to see exactly how today’s number was built, your week at a glance, and how close Udapt is to learning your real daily burn.

Your food targets use your Apple Health data too. Your weight comes from Apple Health (smart scales or the Health app), and food you log in other apps that save to Apple Health counts alongside what you log in Udapt. Your training days and each morning’s readiness decide whether today gets a little more or a little less.

Your starting estimate

Strong evidence To begin with, Udapt estimates how much energy you burn using the Mifflin–St Jeor formula (from your age, height, weight and sex) and your everyday activity level. Independent reviews found it the most accurate of the common formulas. The activity levels follow the bands used by the UN’s food and health agencies.

Then it learns what your body actually does

Good evidence Any formula is only an estimate. Once you’ve weighed in and logged your food completely every day for 31 days, Udapt compares what you ate with how your weight actually moved, and corrects your target. Both numbers come from research: the method needs daily weigh-ins over more than 28 days, and it takes about 31 days of food records to know what one person usually eats (to within 10%). Even then, estimates are only accurate to within about 300 kcal a day. Food records also tend to undercount — most people log less than they really eat — so complete logs matter. There’s no limit on how far the target can move once it has that data — we looked, and no research sets one. Early in a diet some of the weight lost is water, which simple calorie maths doesn’t account for; waiting for a full 31 days of data keeps that effect smaller.

More food on training days

Example week with a 2,200 kcal average and three training days: training days 2,420 kcal, rest days 2,035 kcal. The weekly average stays at 2,200.1,8002,0002,2002,400Mon: 2,420 kcal (training day)2,420MonTue: 2,035 kcal (rest day)2,035TueWed: 2,420 kcal (training day)2,420WedThu: 2,035 kcal (rest day)2,035ThuFri: 2,420 kcal (training day)2,420FriSat: 2,035 kcal (rest day)2,035SatSun: 2,035 kcal (rest day)2,035Sun
  • Training day (+10%, from carbs)
  • Rest day
  • Weekly average, unchanged
Same week, smarter days. An example: a 2,200 kcal average with three training days. Training days get 220 kcal more, rest days 165 kcal less, so the week adds up to the same total.

Some evidence Sports nutrition guidelines advise eating more carbohydrate on days you train harder. Most of that research is on endurance sports rather than weight training. Our design choice The exact 10% is our choice, not a researched figure. On Ease off and Recover days your target is held at your daily average, with no extra cut.

Protein, carbs and fat

Strong evidence Protein is set from your body weight (see Protein) and never drops. Standard practice Fat stays within the 20–35% of calories that dietary guidelines recommend. Carbs make up the rest — so carbs are what go up on training days and down on rest days.

Safe limits that never move

  • Good evidence Pace: weight loss is capped at 1% of your body weight a week (0.5% is the default), and gain at 0.5%. Slower loss keeps more muscle: in a trial of 24 athletes, those losing about 0.7% a week gained muscle while those losing 1.4% didn’t.
  • Standard practice Minimum intake: your target never drops below 1,200 kcal a day for women or 1,500 for men, or below your estimated resting burn if that’s higher.
  • Standard practice Under 18: no calorie cut is ever set, following paediatric guidance to focus on healthy habits rather than weight.

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Protein

Strong evidence Udapt starts you at 1.6 g of protein for every kg you weigh — around 110 g a day for someone who weighs 70 kg. A large review found this is where most of the muscle-building benefit of protein is reached. You can set anywhere from 1.2 to 2.2 g in Settings. Eating more helps protect muscle while you’re eating less to lose weight — trials of people training hard on fewer calories used 2.3 g per kg or more, so 2.2 g is a cautious upper setting. Protein is never reduced on easier days.

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Your menstrual cycle

This is optional and off unless you turn it on, and it only starts once Apple Health has at least two logged periods.

  • Strong evidence Your heart signals shift across the cycle. HRV tends to be lower and resting heart rate a little higher in the second half (the luteal phase) — about 3% and 2% in a study of thousands of women. So Udapt compares you with your own normal for that phase, and a natural dip isn’t mistaken for poor recovery.
  • Good evidence Udapt never cuts your training because of your cycle phase alone. Reviews found cycle phase has little or no reliable effect on strength or how you respond to training (one found performance may be trivially lower in the first days of a period).
  • Some evidence Optional extra food in the second half of your cycle. Resting energy use rises slightly in the luteal phase (a review of 26 studies), but the effect on a whole day’s energy is small and uncertain, so “up to about 100 kcal a day” is an upper estimate.

Turn this off if you use hormonal contraception, don’t have periods, or are going through perimenopause, as the patterns above may not apply.

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What we don’t claim

  • Readiness isn’t proven to build extra muscle. Two small trials used HRV to decide when people lifted (20 young men; 21 older women), and both found the same strength and muscle gains as a fixed schedule. No study has yet tested adjusting sets and effort day to day the way Udapt does. We think of readiness as a sensible way to manage tiredness — but that’s our reasoning, not a proven benefit.
  • Most of the research is on athletes. Much of the evidence comes from elite endurance athletes, rugby players and young adults in lab studies. It’s the best available, but it wasn’t done on people exactly like you.
  • Apple Watch HRV is an estimate. It’s less precise than the chest straps used in most research, which is why Udapt only looks at your 7-night trend against your own normal.
  • No readiness score has a gold standard. Not ours, and not any wearable’s. Researchers point out there’s no standard framework for combining these signals, and that many wearables’ scores are proprietary and unexplained. We’ll keep checking ours against how people actually feel.
  • Udapt is a wellness app, not a medical device. It can’t diagnose anything. If you feel unwell, your score stays low for several days, or you’re training around an injury, talk to your doctor or a physiotherapist.

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How we check the evidence

Every rule in Udapt has been checked against the original published research, with each study looked up directly at its source. Where the research disagreed with a rule, we changed the rule. A few examples:

  • HRV was switched from a single night to a 7-night average after the research showed that’s more reliable.
  • The minimum calorie intake for men was raised from 1,200 to 1,500 kcal to match clinical guidelines.
  • We removed any suggestion that following your readiness score builds more muscle, because the trials didn’t show that.

On 25 September 2026 we re-checked every claim on this page against the published abstracts: all 38 research papers we cite are real and correctly cited, and we corrected several places where our wording went further than the research.

Last reviewed 25 September 2026. Spotted something we’ve got wrong? Email info@isafenet.app.

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