Research-grade wellbeing tracking for education

Track your wellbeing with the same rigouryou'd apply to your research.

Habisci is a science-backed habit and wellbeing tracker for students, classes, and self-trackers. One-tap logging, validated assessments, and honest progress visualisation.

Free for students Your data stays yours Built for academic research
Features

What you can track today

Every feature listed here is live in the app. If it isn't built, it isn't here.

One-tap daily logging

Tap cards for the habits you care about. Logs are tiered as research data with an offline outbox and idempotent submission.

Daily reflections

Short free-text reflections, private by default. Opt in to a shared, anonymised team stream if you want.

Habit strength, not streaks

A forgiving Loop-style algorithm replaces binary streaks. Consistency over weeks beats perfection.

History matrix

A days-by-activities grid to spot patterns across weeks. Tap any cell for the detail.

Validated assessments

WHO-5 and similar instruments with a retake cooldown. Every attempt is preserved for research validity.

Personal goals

Set goals you can actually track. Instructors see team-level aggregates — never your individual entries.

Self-nudges

Document the behaviour-change techniques you're trying on yourself. Build a timeline you can reflect on.

Team aggregates with k-anonymity

Team members see the group's progress. Suppression kicks in below three active members — nobody gets outed.

How it works

Under a minute a day

  1. 01

    Sign in and configure

    Create an account (or join a class with a code). Pick the activities you want to track.

  2. 02

    Log and reflect

    One tap per card, one short reflection per day. Takes well under a minute.

  3. 03

    See what's actually happening

    Heatmaps, habit-strength meters, and validated assessments show honest progress over time.

For whom

Built for four kinds of people

Students

Log daily, reflect, and watch your habit strength grow over weeks — not minutes.

For students

Instructors

Create classes, track team-level trends, and protect individual privacy by design.

For instructors

Teams

Share aggregate progress with your classmates without exposing any one person's data.

For teams

Self-trackers

Use Habisci on your own for personal wellbeing research. No class required.

For self-trackers
Science & methodology

A forgiving algorithm beats a brittle streak.

Habisci uses a Loop-style habit-strength algorithm instead of binary streaks. Missing one day doesn't reset anything; the meter decays gently so consistency over weeks is what counts. Validated wellbeing assessments (WHO-5 and similar) run with a retake cooldown to preserve test-retest validity.

Privacy

Instructors see trends. You keep the detail.

Habisci is designed so individual student data stays private by default. Instructors see team-level aggregates with k-anonymity suppression below a minimum active-member threshold. Reflections are private unless you explicitly mark them as shared.

  • Version-controlled consent. Re-acknowledgement required when terms change.
  • Download your data. CSV export ready for R, JASP, or jamovi — one click from settings.
  • Application-level auth guards. Every mutation checks ownership server-side; no client-only gates.

Ready to start tracking?

Sign in with Google or an email. You can leave any time and take your data with you.