Science · ZestyCoach

We show you what the research supports.
Your data makes it yours over time.

Most cycle apps present day-by-day recommendations with a confidence the science doesn't support. We made a different choice — and we want to explain it.

Why we use phase-level guidance, not day-level rules

A lot of apps will tell you exactly what to do on day 14. It feels personalised. It isn't — it's a population average applied to you as if you're average.

The research is clear: individual variability across the menstrual cycle is large. Two women on the same cycle day can have completely different hormone levels, energy, and performance capacity. Studies consistently show that group averages mask the real-world range of individual responses.

ZestyCoach gives you phase-level guidance because that's what the evidence actually supports at confidence. We'd rather be accurate than impressive.

This isn't a limitation we're apologising for. It's a position. Day-level recommendations would feel more personalised — but they'd be less honest. The science isn't there yet to say day 8 is meaningfully different from day 9 for most women.

What does get more personalised over time is you. As you log more cycles, ZestyCoach learns your patterns — when your energy actually peaks, when cravings actually hit, what your body actually does. That longitudinal layer is where real day-level intelligence comes from. Not population averages dressed up as precision.


The research we're built on

Every recommendation in ZestyCoach traces back to a source. Our training and nutrition guidance is anchored in peer-reviewed exercise physiology and women's health research — primarily the work of Dr. Stacy Sims and the studies below.

Training · Performance
Effects of Menstrual Cycle Phase on Exercise Performance in Eumenorrheic Women
McNulty et al · Sports Medicine · 2020
Nutrition · Energy Intake
Dietary Energy Intake Across the Menstrual Cycle: A Narrative Review
Rogan & Black · Nutrition Reviews · 2023
Hormones · Strength
Effects of Menstrual Cycle Phase on Elite Athlete Performance
Meignié et al · Frontiers in Physiology · 2021
Female Athlete Health
The Impact of Menstrual Cycle Phase on Athletes' Performance
Carmichael et al · IJERPH · 2021

A full traceability document maps every user-facing recommendation to its evidence source. We update it when the science evolves.


How we handle what we don't know

On cycle phases and training

The evidence on whether menstrual cycle phase meaningfully affects exercise performance is genuinely mixed. McNulty et al's 2020 meta-analysis found conflicting results with no clear consensus. We reflect that uncertainty in our language — "may," "can," "for many women" — rather than stating phase rules as facts.

On nutrition targets

Luteal phase calorie increases of 159–529 kcal/day are well-evidenced across multiple studies with hormonal verification (Rogan & Black, 2023). This is one of the more robust findings in the field and we use it with confidence. Other recommendations are held to the same standard — if the evidence is strong, we say so; if it's emerging, we say that too.

On individual variation

We ask you to track your own patterns because the research consistently shows that individual responses to hormonal fluctuation vary more than phase averages suggest. Your logged data is more predictive of your next cycle than any population study.


Your data stays on your device

Period start date, cycle profile, symptoms, flow intensity — none of this is stored on our servers. It lives on your phone only. This was an architectural decision made before we wrote a line of cycle-tracking code, because we believe the sensitivity of menstrual health data demands it — especially right now.

If you choose to share anonymised, cycle-data-free signals to help us improve recommendations, that option exists. It's off by default. It never includes cycle data. And you can turn it off any time.

Full explanation: Your period data never leaves your phone — here's why we built it that way. On the ZestyCoach Inside page.

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