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protocol · 6 outcomes · nutrition coaching

How to adjust a client's calories after two weeks of data: the protocol.

Two weeks of weigh-ins, two averages, one decision. This page is the protocol a coach runs at the second check-in of any calorie target: the five inputs you need, the worked example with fourteen real-looking numbers, the six-outcome decision table with the size of each change, the list of weeks when you do not cut, the three messages you send the client, and a ChatGPT prompt that formats the data without deciding anything.

By Markus Evers · Updated September 2026

the short version

Adjust a client's calories after two weeks of weigh-ins averaged by week, and only when adherence was above 80%. On target (0.5 to 1% a week): hold. Under target with good adherence: cut 5 to 8%, 100 to 200 kcal. Losing faster than 1%: add 100 to 200 back. Week one of a new deficit: hold; it is water.

the rule

When should a coach adjust a client's calories?

After two weeks of daily weigh-ins averaged by week, and only when adherence was above 80%; a change in the first two weeks of a new deficit reacts to water and glycogen, not fat. The sources that coaches actually use agree on the shape. Rippedbody's macro adjustment guide compares daily morning weigh-ins as weekly averages, checks adherence, sleep, stress and activity before touching intake, and sizes a cut at roughly 5 to 8% (100 to 200 kcal for most people), with a rule of thumb of about 250 kcal a day for every 0.5 lb the weekly average fell short. The app help centres (MacroFactor's among them) add the other boundary: losing faster than 1% of bodyweight a week means the deficit is too aggressive, and 150 to 200 kcal goes back. One week is too noisy to act on; two clean weeks are the minimum. If the client has a date in mind, the goal weight date calculator turns that date into the weekly rate the deficit has to produce, and flags a rate outside the band.

The coaching half of the rule comes from a thread asking how online coaches verify that clients follow the plan: "The best week and check-in a client can have is a quick no change check-in, because that means the plan worked, they followed it, we don't change anything." A target that is working is left alone. The protocol exists so that you change it for a reason you can name, in a size you can defend, and say so to the client in one message.

five inputs

What data do you need before you decide?

Five things, and the fifth is not a number: fourteen daily weigh-ins, adherence per week, average steps per week, average sleep per week, and one line in the client's own words. All five come off a weekly check-in form that asks for them every week, so the second check-in of a new target already has the whole set. The signals beyond the scale that make a stall readable (waist, photos, lifts, hunger, energy) are in how to track client progress beyond the scale.

1

14 daily morning weigh-ins

Same scale, same conditions, after the bathroom, before food. Five per week is the minimum for a usable average.

2

Adherence, as a percentage per week

Days on target divided by days logged. Under 80% and the target was never tested.

3

Average daily steps per week

A 20% drop in steps explains most "stalls" before the calorie target does.

4

Average sleep per week

Under 6 hours changes appetite, water and training output; it is a reason to hold, not to cut.

5

One line in the client's own words

"Felt flat all week" or "period started Tuesday" changes the decision more than any number.

worked example

How do you read a two-week weigh-in average?

Add the seven weigh-ins, divide by seven, do it for both weeks, and compare the two averages as a percentage of the first. Here are fourteen numbers for an illustrative client who started a deficit at 82 kg three weeks ago (the first fortnight was held, so this is weeks three and four of the diet). The daily numbers bounce by up to 0.8 kg; the averages tell a clean story.

Fourteen daily weigh-ins for an illustrative client, two weekly averages, and the change between them
DayMonTueWedThuFriSatSunSumAverage
Week 1 (kg)82.482.182.681.982.282.081.8575.082.14
Week 2 (kg)81.981.682.081.581.781.481.3571.481.63
Change81.63 minus 82.14-0.51 kg-0.63% per week

Read against the table below: 0.63% a week sits inside 0.5 to 1%, adherence was above 80% in both weeks (say 86% and 93%), steps and sleep held. The decision is hold, and the message is the first of the three below. Notice what a single-day reading would have done: Wednesday of week one to Wednesday of week two is 0.6 kg, Monday to Sunday of week two alone is 0.6 kg, and Thursday of week one to Wednesday of week two is 0.1 kg. Any one of those, taken alone, argues for a different change.

six outcomes

How much should you adjust?

By 5 to 8% of the target, 100 to 200 kcal for most clients, in one step, from carbohydrate or fat with protein held, and then not again for two weeks. The six outcomes below cover every second check-in. The size column carries the rules of thumb with their sources: the 5 to 8% band and the 250 kcal per 0.5 lb line are Rippedbody's, the 1% ceiling and the 150 to 200 kcal add-back are the app help centres', and the maintenance drift of roughly 50 kcal for every 5 kg lost is the figure those same help pages use; all are coaching rules of thumb, not measurements of your client.

The two-week calorie adjustment decision table: outcome, adherence, the rule, and the size of the change
What the two averages showAdherenceThe ruleSize
On target: the weekly average fell 0.5 to 1% of bodyweightAnyHold. Same calories, same steps. Say so in the check-in reply.No change
Under target: fell less than 0.5%Above 80%Small cut from carbohydrate or fat, protein held. Re-read in two weeks.5 to 8% of the target, 100 to 200 kcal for most clients
Under target: fell less than 0.5%Under 80%Hold the target. Fix the adherence gap first, then restart the two-week clock.No change
Over target: fell more than 1% two weeks runningAnyAdd calories back; check sleep, steps and training output the same day.Add 100 to 200 kcal
First two weeks of a new deficit or a new training blockAnyHold. Water and glycogen mask the trend; count from week three.No change
Maintenance drift after a long dietAbove 80%Expect the target to need a small step down as bodyweight falls; do not pre-empt it, wait for the averages.Roughly 50 kcal per 5 kg lost, as a rule of thumb

Which macro the cut comes from, and the four rules for moving them, are in how to adjust client macros; how the first number was set, and the deficit size it started from, is in how to set a client's calorie target.

six reasons to wait

When should you not cut calories?

Whenever one of the five inputs explains the stall before the target does. A short week of sleep, a stress week, the luteal phase, a cold, a trip or a logging gap will flatten or reverse a weekly average on its own; cutting on top of it teaches the client that a hard week means less food. Hold, name the reason in the reply, and restart the two-week clock. The six below cover nearly every hold. One line that sits outside the protocol: if the client's words mention fear of food, guilt, compensating or skipping meals to hit the number, the calorie target is no longer the conversation, and the referral to a qualified clinician comes before any change.

  • Sleep averaged under 6 hours in either week.
  • A high-stress week the client named (deadline, illness in the family, a move).
  • The luteal phase or the first days of a period, if the client tracks it and wants you to know.
  • Illness, even a cold: appetite, water and training all change.
  • Travel or a holiday week: different scale, different food, different steps.
  • An adherence gap under 80% in either week.

The wider question of whether a plateau is real at all, with the six signals to read before you decide, is in how to help a client break through a plateau.

three messages

What do you say to the client?

One message per decision, under 60 words, with the two averages and the delta in it so the client learns to read their own data, and never a medical word. Fill the brackets from the table above; the numbers are the message.

1

Hold

When to use it: On target, or a hold for one of the six reasons (add the reason in one clause).

What to paste in: The two averages and the delta.

Good week. Your average went from [W1] to [W2], which is [DELTA] kg, right where we want it. Nothing changes: same calories, same steps target. The best check-in is the one where the plan worked and we leave it alone. Anything on your side you want to flag before next week?

2

Small cut

When to use it: Under target with adherence above 80%.

What to paste in: Old and new target, the size of the step.

Two clean weeks, average moved [DELTA] kg, a bit under the rate we planned. That is normal at this point, so we take one small step: calories go from [OLD] to [NEW], about [CHANGE] a day, protein stays the same. We look again in two weeks. Nothing else changes.

3

Add back

When to use it: Faster than 1% a week for two weeks, or the flags say the client is running low.

What to paste in: Old and new target, the size of the step.

Your average dropped [DELTA] kg over the two weeks, faster than we want, and your sleep and steps say you are running low. We add [CHANGE] calories a day back, from [OLD] to [NEW], protein unchanged. Faster is not better here; this keeps your training and your energy where they need to be.

format, do not decide

Can ChatGPT help with the adjustment?

With the arithmetic and the flags, yes; with the decision, no. The prompt below takes fourteen weigh-ins, adherence, steps and sleep and returns the two averages, the delta, whether it sits inside 0.5 to 1%, and the flags in a fixed shape, and it is told not to recommend a change. Paste numbers only, never a name or a condition; the yes/no table for client data is in can you put client data in ChatGPT. Two threads explain the boundary from the other side: coaches on r/personaltraining describing clients arriving with ChatGPT macros, and a 774-point r/loseit post on why a model's calorie estimate from a food description is a guess, not data. Your client's weigh-ins are data; keep the model on that side of the line.

4

Format 14 weigh-ins into the decision table

When to use it: At the second check-in of any target, before you decide.

What to paste in: Fourteen numbers, two adherence percentages, two step averages, two sleep averages. No name.

I am a fitness coach. Below are 14 daily morning weigh-ins for an anonymised client (kg), their reported adherence to the calorie target as a percentage for each week, average daily steps for each week, and average sleep hours for each week. Do not recommend a calorie change and do not comment on the target itself.

Produce, in this order:
1. Week 1 average and week 2 average, to one decimal.
2. The change in kg and as a percentage of the week 1 average.
3. Whether that change is inside 0.5 to 1% per week, below it, or above it.
4. Any of these flags, quoted with the number: adherence under 80% in either week; sleep under 6 hours in either week; steps down more than 20% from week 1 to week 2.
5. One line naming what a coach would normally check first given the flags, without recommending a change.

Data:
Week 1 weigh-ins: [7 NUMBERS]
Week 2 weigh-ins: [7 NUMBERS]
Adherence: week 1 [%], week 2 [%]
Steps: week 1 [AVERAGE], week 2 [AVERAGE]
Sleep: week 1 [HOURS], week 2 [HOURS]

Rules: show the arithmetic for both averages; if fewer than 5 weigh-ins exist in a week, say so and mark the average as unreliable; no medical language; no advice.

The prompt and the three messages are in the free AI prompt pack for online coaches; the meal-side prompts that sit next to them are in ChatGPT prompts for nutrition coaches.

one place

Where does the adjustment live?

In the same place as the check-in that triggered it. The target changes in the client's nutrition plan, the check-in form keeps asking for the five inputs, and the next two weekly averages land next to the old ones, so the second decision is as easy as the first. In Coachway the calorie target sits in the client's nutrition plan and the check-in form on the same client screen, with every feature included at EUR 69 per month for up to 5 clients plus EUR 9 per additional client, the numbers are on pricing, and the best AI coaching apps lists what each platform's nutrition side actually does. The first number, and the deficit size it came from, is set in how to set a client's calorie target.

questions coaches ask

Frequently asked questions.

How long should I wait before adjusting a client's calories?

Two weeks of daily weigh-ins, compared as two weekly averages, and only when adherence was above 80% in both weeks. One week is too noisy to act on: water, sodium, carbohydrate, sleep and the menstrual cycle move the scale by more than a week of real fat loss. The first two weeks of a new deficit are the exception in the other direction: the drop you see is mostly water and glycogen, so you hold through them and start counting from week three.

How much should I cut calories when weight loss stalls?

A small step: 5 to 8% of the current target, which is 100 to 200 kcal for most clients, taken from carbohydrate or fat with protein held. Rippedbody's rule of thumb, roughly 250 kcal a day for every 0.5 lb the weekly average fell short of target, lands in the same band for a typical shortfall. Cut once, hold for two more weeks, and read the next two averages before touching it again.

What is a good rate of weight loss per week for a client?

0.5 to 1% of bodyweight per week, measured on the weekly average, not on any single weigh-in. For an 80 kg client that is 0.4 to 0.8 kg a week. Faster than 1% for two weeks running is a sign the deficit is too aggressive; the usual fix is to add 100 to 200 kcal back. Slower than 0.5% with adherence above 80% is the case for a small cut. Beginners, heavier clients and the first fortnight of a diet all run faster without anything being wrong.

Should I adjust calories if the client was not adherent?

No. Adherence under 80% means the target was never really tested, so a lower number solves nothing and teaches the client that the answer to a hard week is fewer calories. Hold the target, fix the adherence gap first (which meals, which days, what got in the way), and start the two-week clock again once logging is back above 80%. Coaches on r/personaltraining put it plainly: the best check-in is a "no change" check-in, because it means the plan worked and they followed it.

Why did my client's weight go up in week one of a deficit?

Because the scale is measuring water and glycogen, not fat. A new training block, more sodium, more fibre, a hard session or the luteal phase of the menstrual cycle can add one to two kilograms of water while fat loss continues underneath. The rule is to hold through the first two weeks of any change and compare weekly averages from week three; a single weigh-in, in either direction, is not a decision.

How do I average weigh-ins?

Weigh every morning under the same conditions (after the bathroom, before food, same scale), add the seven numbers for the week and divide by seven; do the same for the next week, then compare the two averages. Five weigh-ins is the minimum for an average you can trust; fewer than that and you note it as unreliable. The worked example on this page shows the arithmetic for fourteen days.

Can ChatGPT decide my client's calories?

No, and it should not be asked to. It can format fourteen weigh-ins into two averages, a delta and the flags in a fixed shape, which is what the prompt on this page does, and it is told explicitly not to recommend a change. The decision stays with the coach who knows the client's sleep, stress, cycle and training week. Its calorie estimates from food descriptions are not data either; a 774-point r/loseit post exists because people treated them as if they were.

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Free tools for this: Calories Per Meal Calculator · Protein Calculator · Calorie Cycling Calculator

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