Predictions Seem Wrong
Learn why predictions may be off and how to improve their accuracy over time.
Key Insight
Lova needs at least 3 complete cycles of data to make accurate predictions. The more cycles logged, the better the predictions become. If you've just started using Lova, give it time to learn your patterns.
1 How Predictions Work
Lova uses your logged cycle data to calculate predictions. The algorithm analyzes:
- Your average cycle length
- Variation between cycles
- Recent cycle patterns
- Logged symptoms (if tracked)
Privacy Note
2 Common Causes of Inaccurate Predictions
3 Factors Affecting Accuracy
| Factor | Impact | Minimum Needed |
|---|---|---|
| Cycle history length | More months = better predictions | 3+ cycles |
| Consistent logging | Regular data improves accuracy | Daily entries |
| Symptom tracking | Additional data points help | Optional but helpful |
| Life changes | Stress, travel affect cycles | Note in journal |
4 How to Improve Accuracy
- 1 Log period start dates accurately - Mark the first day of bleeding, not spotting
- 2 Track consistently - Log data daily or at least mark period start/end
- 3 Note life changes - Use the journal to record stress, travel, illness
- 4 Be patient - Accuracy improves with each completed cycle
5 When Predictions May Not Apply
Some situations make cycle prediction inherently difficult:
Hormonal contraception
Birth control regulates cycles artificially
Postpartum/breastfeeding
Cycles may be irregular or absent
PCOS or other conditions
Can cause highly variable cycles
Perimenopause
Natural cycle changes occur
Not Medical Advice
Still Have Questions?
If predictions remain inaccurate after 3+ cycles:
- Check that period start dates are logged correctly
- Review cycle history for any missing entries
- Consider consulting a healthcare provider if cycles are very irregular