Our approach to science
Cycla is built on a simple idea: your body tells you how it feels every day. A 20-second check-in drives your entire session. Here's how the architecture works, what we build on, what we don't claim, and why your perception matters more than any phase label.
Philosophy
The fitness industry has a pattern: take an emerging idea, simplify it into a marketable claim, and build a product around it before the science catches up. "Cycle-syncing" followed that pattern. The core insight is real. hormones influence energy, recovery, and performance. But the leap from "hormones matter" to "your phase determines your workout" skips over a lot of nuance.
Cycla takes a different position. The check-in is the product. Your 20-second daily check-in (energy, symptoms, sleep, mood) drives your entire session. Your cycle is fully optional context. it never overrides your perception. Your conditions (18 supported) have their own adaptation logic. This architecture means Cycla works whether you have a regular cycle, an irregular one, no cycle at all, or simply don't want to track it.
Cycla's session pipeline
How the algorithm works
Every day, Cycla builds a session through a pipeline:
- Check-in (perception): Your 20-second daily check-in captures energy, symptoms, sleep, and mood. This feeds into an energy bucket (1-10) that determines your session type. HIIT, strength, mobility, or rest. This is the foundation.
- Safety filter: Before anything else, Cycla checks for safety signals. Severe pain, dizziness, or extreme fatigue shift the session to restorative movement or guided rest. No override needed.
- Condition logic: 18 conditions, each with its own pipeline. PCOS gets insulin-sensitivity training. Endometriosis gets anti-inflammatory sessions during flares. Perimenopause gets bone-density work. These are grounded in published research.
- Pattern matching: Over time, Cycla detects how your energy, symptoms, and conditions interact. After a few weeks, your plan starts reflecting your actual patterns.
- Cycle context (optional): If you track your cycle, it adds hormonal backdrop. But it never overrides your check-in. If you don't track it, everything works the same.
The source of every session is 'perception'. what you tell us today. Not 'phase'. Not a calendar. Your body.
What we don't claim
Honesty about uncertainty is part of how we build trust. Here's what the research doesn't yet support strongly enough for us to make definitive claims:
- Phase-specific strength windows: The idea that you're definitively "strongest" during the follicular/ovulatory phase is based on oestrogen's effect on muscle protein synthesis. The evidence is suggestive but not conclusive. Individual variation is large. We use this as context, not prescription.
- Precise hormone-to-performance mapping: Hormone levels vary enormously between people and between cycles. A fixed mapping of "Day 14 = peak power" doesn't hold for most people. That's why your check-in always takes priority.
- Cycle-syncing as a proven training method: There is no large-scale RCT showing that cycle-synced training produces better outcomes than well-programmed training that accounts for daily readiness. We're honest about this.
What the research does support
Where we do build on strong evidence:
- Daily readiness matters: Autoregulation (adjusting training based on daily readiness) consistently outperforms rigid programming in both performance and adherence research.
- Conditions require specific adaptation: PCOS responds well to strength training (insulin sensitivity). Endometriosis benefits from anti-inflammatory movement during flares. Perimenopause requires weight-bearing exercise for bone density. These are well-supported in the literature.
- Hormones influence recovery: Progesterone's catabolic effect, oestrogen's role in tendon health, the impact of menstruation on iron levels. these effects are real and inform our recovery logic.
- Symptom tracking improves outcomes: Regular self-reporting of energy, sleep, and symptoms improves training adherence and reduces injury risk. This is why the daily check-in is our primary signal.
Key references
- McNulty et al. (2020). "The effects of menstrual cycle phase on exercise performance in eumenorrheic women: a systematic review and meta-analysis." Sports Medicine, 50(10), 1813–1827.
- Wikström-Frisén et al. (2017). "Effects on power, strength and lean body mass of menstrual/oral contraceptive cycle based resistance training." Journal of Sports Medicine and Physical Fitness, 57(1-2), 43–52.
- Moran et al. (2011). "Lifestyle changes in women with polycystic ovary syndrome." Cochrane Database of Systematic Reviews.
- Armour et al. (2019). "Exercise and endometriosis: a systematic review." BMC Women's Health, 19(1), 164.
- Berin et al. (2022). "Resistance training for treatment of PCOS." Medicine & Science in Sports & Exercise, 54(8), 1286–1293.
- Stanton & Handy (2022). "Exercising through the menopause transition." British Journal of Sports Medicine.
- Mann et al. (2014). "The APRE: Setting repetitions and load based on performance." Journal of Strength and Conditioning Research.
Our commitment
We will update our algorithm as the science evolves. If new research strengthens the case for cycle-phase-specific training, we'll build on it. If it weakens it, we'll adjust. Cycla's credibility comes from being honest about what we know and transparent about what we don't.
This page is a living document. Last updated: April 2026.