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For nutritional counselling

Finally see what happens between appointments.

Memory of the last two weeks is a poor data source. instafit shows you what was actually logged — meals, photos, habits, trajectory.

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Meals with photos

What you actually gain

Meals with photos

A photo replaces typing. You see meals grouped by day, with quantity and calories where they are known.

The practice picks the method

Quick checklist for everyday use, a 24-hour diary on request for specific days, or a monthly questionnaire on eating behaviour.

Habits instead of impressions

The analysis shows on what share of logged days each habit was kept — and where the conversation should start.

Your own access

You work with your own login and see exactly the patients the practice assigns to you. No more, no less.

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From the app

This is what nutrition tracking looks like

On the left, what your client logs in half a minute a day. On the right, what you read from it — on the same scale the practice view uses.

Nutrition

Quick check · Wednesday

  • 5 portions of vegetables and fruit
  • Wholegrain instead of white flour
  • Protein with every main meal
  • Water instead of sugary drinks
  • Little heavily processed food
  • Portions chosen consciously

Meal photos are optional and visible to the practice.

Nutrition over time

12 weeks

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Currently 4.3 out of 5 (very good) — the weekly average of the recommendations ticked off.

Scaleweakmoderategoodvery good

Most often kept: 5 portions of vegetables and fruit

Least often kept: Water instead of sugary drinks

Illustrative figures — the interface itself is the real one.

How it works

  1. 1

    The practice assigns patients to you

    You get access to the people you support — with trajectory, meals and messages.

  2. 2

    You see the everyday

    Logged days, photos, habits and nutrition values, as far as the foods are on record.

  3. 3

    You document in the same system

    Your entries land in the practice journal — no second channel, no paper slips.

Interested in working together?

A short demo shows you what the nutrition data looks like.

Arrange a conversation

Nutrition values are approximations and depend on the stored food database.