Lotti track habits 4+

Lotti helps you track habits, behavior, any data about yourself, in complete privacy.
Lotti is a tool for self-improvement centered around these core beliefs:

Long-term outcomes in life can be improved by following good routines and establishing good habits, such as healthy sleep, mindfulness and improved self-awareness, healthy eating, enough physical activity and the like. Technology is essential when trying to establish and monitor good habits. Paper-based checklists are undesirable.
Habits need to be monitored long-term. The 21-day habit theory, stating that it takes three weeks to form a new habit and then subsequently sticking with it automatically is questionable at best, and the only way to ensure that habits identified as important are actually followed is to monitor them.
Any comprehensive attempt at tracking and monitoring the aforementioned areas of life will result in collecting far more data than anyone should be willing to share with anyone else.
Lotti is a tool for improving life via establishing good habits and monitoring their outcome. All collected data stays on your devices. Encrypted and entirely private synchronisation between your devices can be set up (instructions will follow).

Lotti currently supports recording the following data types:

Habits, which can be defined and tracked. Habit tracking then involves recording daily completions, which can be successes, failures, and also skipping the completion in case a habit could not be completed due to external circumstances.
Health-related data which can be imported automatically, such as steps, weight, sleep, blood pressure, resting heart rate, and whatever else can be recorded in Apple Health
Custom data types, such as the intake of water, food, alcohol, coffee, but also exercises such as pull-ups, you name (and define) it.
Text journal entries.
Tasks, with different statuses to track their lifecycle: open, groomed, in progress, blocked, on hold, done, rejected.
Audio recordings, as spoken journal entries, and also audio notes, for example when working on a task and documenting progress and doing a quick brain dump that can be useful when picking up a task again later.
Time, as in recording time spent on a tasks, and also a related story.
Tags for better organization and discoverability of journal entries.
Stories, a special tag type that is useful for reporting time spent on tasks related to their respective stories.
People, a special tag type with no additional functionality yet, only a different tag color.