Temperature on waking
We are researching evaluating the temperature recorded right after waking together with the measurement time and sleep conditions.
Our upcoming modules that will bring together temperature, sleep and personal patterns. Discover what kind of experience we aim for and what scientific foundation we start from.
We are planning a new module to help you get to know your cycle more closely. By bringing together morning temperature patterns, cycle records and personal notes, we aim to support fertile-window awareness.
Basal body temperature (BBT) tracking is a method with a scientific basis used in fertility awareness. The measurement is taken right after waking up, before getting out of bed and before starting any activity, every day under similar conditions.
A sustained rise in temperature that can be seen after ovulation helps you understand, in hindsight, that ovulation may have occurred. A single temperature reading does not give the result “today is the ideal fertile day”; the most fertile days can come before the rise.
We are researching evaluating the temperature recorded right after waking together with the measurement time and sleep conditions.
Changes across days and cycles instead of a single value. A more meaningful view with period start dates and notes you add.
The goal, once validation is complete, is to present predictions about likely fertile windows together with data sufficiency and uncertainty information.
Zzip’s current sensor is planned for skin temperature; this value cannot be taken as basal or core body temperature directly. The sensor position, calibration and fertility algorithm must be validated separately. This module is not yet a feature that can be used for pregnancy planning decisions or birth control.
Areas we are evaluating on our roadmap:
Recording period start, cycle length and changes in regularity; viewing past cycles side by side. The goal is to make personal patterns visible without diagnosing.
Showing sleep records and temperature trends together with cycle days. Exploring observed relationships without presenting them as cause-and-effect or as hormone measurement.
Optional journals for cramps, energy, mood and personal symptoms; letting a person review patterns that repeat in their own records.
Noting conditions that can affect temperature, such as interrupted sleep, fever or a change in measurement time; flagging insufficient data and summarizing records the user selects for discussion with a specialist.
All modules are in the planning stage; scope and release date are not final. This preview does not collect cycle or fertility data.
Join Zzip’s journey from the very beginning.