The Personalisation Gap: Why Average Nutrition Advice Fails Women

Most nutrition apps take your age, height and weight, run them through the same formula they run everyone through, and hand back the plan they hand everyone. Your conditions never enter the calculation. For a lot of women, that plan works fine, more or less, for a while.

Then something changes. Perimenopause starts. PCOS gets diagnosed. A pregnancy begins. And the plan that used to work stops working, not because you did anything wrong, but because it was never actually built for the body you have now, it was built for an average that never included your specific conditions in the first place.

The gap has a name

The distance between average advice and your actual body is what we call the Personalisation Gap. It shows up as the same afternoon snack steadying one woman while it leaves another wired and foggy at 3am. Same food, opposite effect, because the two women are not actually comparable in the way a generic calculator assumes.

Closing that gap is the only thing Plait was built to do. Not a bigger recipe database, not more tracking for its own sake: the conditions you tell it about become part of the calculation itself, not a note added on top of a plan that was already decided.

What this looks like in practice

• Targets that shift with your life stage, not just your weight
• Follow-up questions that change real numbers in the plan, not cosmetic ones
• Room for more than one condition at once, since most women carry more than one

None of this replaces your own clinician. It is nutrition guidance, built around what you tell us, changing as your body changes. Not medical advice.