The science
Built on evidence, not willpower.
Rewarding Habits is designed around decades of behavioral research. No fluff, no pop-science promises. Just the mechanisms the app is built on, and the work behind them.
Last updated September 26, 2026.
How to read this
Designed around research, not a replacement for care.
We describe the mechanisms the app is built on and cite the work behind them. Rewarding Habits is a skill-building app informed by psychological science. It isn't therapy, and it isn't a crisis service. If you're struggling with your mental health, please reach out to a professional. In a crisis in the US, call or text the 988 Suicide & Crisis Lifeline.
The foundations
Five ideas that shape everything.
Most of what the app does traces back to these. Each is decades deep and widely studied.
1 · Variable-ratio reinforcement
Rewards delivered on an unpredictable schedule produce some of the most durable, motivated behavior known to behavioral science. It's why the app gives random rewards, and why it refuses to count streaks.
Skinner; Schultz (1997); Milkman et al. (2021), N=61,293.
2 · Acceptance & Commitment Therapy (ACT)
Six processes (acceptance, defusion, present-moment awareness, self-as-context, values, and committed action) that help you act on what matters even when it's uncomfortable. The backbone of Surf the Urge and the coach.
Hayes; Harris; A-Tjak et al. (2015), 39 RCTs.
3 · Compassion-Focused Therapy (CFT)
A three-system model of emotion (threat, drive, soothing). After a setback, the app activates soothing first, which is why you'll never find guilt or shame here.
Gilbert; Kirby et al. (2017), meta-analysis.
4 · Self-Determination Theory (SDT)
Lasting motivation comes from autonomy, competence, and relatedness. The app's values & identity system anchors every habit to what you actually care about.
Deci & Ryan (50+ years of research).
5 · Identity-based change
People sustain behavior that matches their self-image. Every check-in is a small vote for the person you're becoming, and difficulty is reframed as importance, not impossibility.
Oyserman et al., N=2,746 validation.
The thread that ties them together
Build people up, never tear them down. Reward effort unpredictably, anchor it to identity and values, and meet every stumble with compassion instead of a broken streak.
No magic. Just many small things that work.
Behavior change is modest and gradual. The app's edge isn't one big trick; it's stacking dozens of well-supported nudges until following through gets easier than not.
The library · building habits
How habits actually form.
It takes ~66 days, not 21
New behaviors automate over weeks to months: a median of about 66 days, anywhere from 18 to 254. The "21-day" rule is a myth.
Lally et al. (2010).
Implementation intentions
"When X happens, I will do Y" links a habit to a concrete cue and measurably improves follow-through. It works best paired with a coping plan (next card).
Gollwitzer; meta-analysis of 94 tests, d≈0.65.
Coping plans for the obstacle
"If the obstacle comes, I'll cope by Z." Action plans help you start; coping plans help you keep going.
Sniehotta et al.
Start tiny
Informed by Fogg's Behavior Design: shrink a habit until it's almost too small to skip, and starting gets easier.
Fogg, Behavior Design (B=MAP).
Environment over willpower
Context cues predict behavior better than intention. Design the cue, and the habit gets easier.
Wood; Duhigg (cue, routine, reward).
Temptation bundling
Pairing a habit with something you enjoy ("only listen to this podcast while walking") boosts follow-through.
Milkman et al. (2014).
The library · motivation
Why random rewards, and never streaks.
The dopamine of "maybe"
The brain responds more to unexpected rewards than predictable ones, the prediction-error signal. Unpredictability is the point.
Schultz (1997), dopamine prediction error.
Progress framing can license a slip
"Progress" framing quietly licenses you to slip ("I've earned a day off"). Commitment framing (this is who I am) keeps you consistent.
Khan & Dhar; Blanken et al., meta d≈0.31.
Variety keeps rewards fresh
Good feelings fade through adaptation. Varying the kind of reward, not just the timing, helps a reward hold your attention.
Sheldon & Lyubomirsky, HAP model.
Intrinsic beats extrinsic
Autonomy, mastery, and purpose sustain effort long after external rewards stop working, so the app pairs surprises with meaning.
Deci & Ryan; Pink.
The library · quitting & urges
Riding out the urge.
Urge surfing
Cravings crest and pass like waves, usually within minutes. You can notice an urge and let it move through without acting on it.
Marlatt; Bowen (2009), MBRP.
Acceptance beats suppression
Fighting a craving can make it stronger (the rebound effect). Allowing it, with curiosity, works better. The goal isn't to erase urges; it's to change how you respond.
Forman et al. (2007).
A lapse is not a relapse
One slip doesn't undo your progress. Reading a slip as proof you can't change is what can turn a lapse into a relapse, so the app calls it a lapse and moves straight to your next step.
Marlatt & Gordon; Bouton (2000).
Replace, don't just resist
Quitting works better when paired with a competing replacement behavior than with sheer avoidance.
Habit Reversal Training; Bate et al. (2011), d≈0.80.
Picture the future you're protecting
Vividly imagining a meaningful future event reduces the pull of the immediate craving.
Episodic Future Thinking; Ye (2022), Colton (2024).
Name what you feel, precisely
Putting a feeling into specific words engages the prefrontal cortex and calms the threat response: "disappointed," not just "bad."
Lieberman et al. (2007), affect labeling.
Move toward, not just away
"Quit scrolling" is an avoidance goal; pairing it with an approach goal ("read for ten minutes") measurably improves success a year out.
Oscarsson et al. (2020), N=1,066, 1-year follow-up.
The library · self-compassion
What happens after a miss.
Self-compassion, three ways
Self-kindness, common humanity ("others struggle too"), and mindfulness: together they support motivation after a setback better than self-criticism.
Neff; Kirby et al. (2017).
Soothe first, then rebuild
State self-compassion in the moment predicts getting back to it, by restoring your belief that you can handle the next obstacle.
Zhang et al. (2025), barrier self-efficacy.
Unhook from the thought (defusion)
"I'm having the thought that I'll never change" creates distance from a thought so it stops running the show.
ACT cognitive defusion; Hayes.
Praise the effort, not the trait
The coach celebrates what you did ("you showed up"), never a fixed label ("you're disciplined"), which protects motivation when things get hard.
Dweck, process praise.
Advise yourself like a friend
We reason more wisely about our own problems when we step back and view them from a distance, Solomon's Paradox. The app's reflections nudge that shift.
Grossmann & Kross; self-distancing studies.
Soothe, drive, and threat
Compassion-Focused Therapy describes three emotion systems. Self-criticism keeps the threat system firing; self-kindness activates soothing, so you can re-engage instead of shutting down.
Gilbert, three-system model.
The library · why no streaks
Do streaks make people give up?
Not everyone. But in one set of studies, seeing a broken streak lowered people's willingness to keep going, compared with an intact one, especially when they blamed themselves for the break.
A broken streak lowers engagement
Across seven studies, highlighting a broken streak in someone's log lowered their engagement afterward, compared with highlighting an intact one, even when their actual past behavior was the same.
Silverman & Barasch (2022), Journal of Consumer Research.
The break is the hard part
The drop after a broken streak was bigger when people blamed themselves for the break, and smaller when the streak could be repaired. One paper, seven studies; none of them tested Rewarding Habits.
Silverman & Barasch (2022).
One slip, all or nothing
Reading one lapse as proof you can't do it is what can turn a lapse into a relapse. Researchers call it the abstinence violation effect.
Marlatt & Gordon; Bouton (2000).
What we built instead
No streak counter, anywhere. A missed day breaks nothing, and each habit's ocean on your phone is built from your completions, whenever they happen. More in our answers.
The coach
A coach that stays on your phone.
The coaching is built from the science above, and it runs entirely on your device. No coaching conversation is ever sent to a server.
Personal, and on your device
Coaching is shaped by your habits, values, and reasons. On supported Android phones it uses on-device AI (Gemini Nano); on iPhone and other devices it draws on rules and pre-written messages built into the app. Always private.
A guilt-and-shame filter
On Android, every reply the on-device AI writes is checked against a list of guilt, shame, and streak-loss phrases before you see it, and a reply that uses one is thrown out, by design. Many of the built-in messages are checked too.
The full ACT toolkit
Defusion, acceptance, grounding (SOBER), values work, and committed action, matched to what you're feeling in the moment.
Care for hard moments
If a conversation signals crisis, the coach points to real help, in the US, the 988 Suicide & Crisis Lifeline. It's support, never a substitute for it.
How we keep it honest
Science you can trust.
No overclaiming
We describe mechanisms grounded in research. We don't promise to cure anything or guarantee a result.
We cite the work
Every claim here traces to published research. Where the popular version overstates the effect, we use the honest number.
Effects are real, not magic
Behavior change is modest and gradual. The app stacks many small, well-supported nudges rather than betting on one big trick.
Private by design
All of this happens on your device. Your habits and reflections are stored on your devices, never on our servers, and coaching never sends them to a server.
Sources & further reading
The work behind the words.
A selection of the research the app draws on. These are starting points, not an exhaustive list, the app is informed by dozens more.
- Schultz, W. (1997). A neural substrate of prediction and reward. Science. Dopamine and unpredictable rewards.
- Milkman, K. et al. (2021). Megastudies improve the impact of applied behavioural science. Nature. A megastudy of habit-formation interventions (N=61,293).
- Blanken, I. et al. Meta-analysis of moral licensing: commitment vs. progress framing.
- Silverman, J. & Barasch, A. (2022). On or Off Track: How (Broken) Streaks Affect Consumer Decisions. Journal of Consumer Research. A broken streak lowers willingness to continue.
- A-Tjak, J. et al. (2015). Meta-analysis of Acceptance & Commitment Therapy (39 RCTs).
- Gilbert, P. Compassion-Focused Therapy and the three-system model of affect.
- Neff, K.; Kirby, J. et al. (2017). Self-compassion and its three components; meta-analysis.
- Deci, E. & Ryan, R. Self-Determination Theory: autonomy, competence, relatedness.
- Oyserman, D. et al. Identity-Based Motivation (validation N=2,746).
- Gollwitzer, P.; Sniehotta, F. et al. Implementation & coping planning (94 tests, d≈0.65).
- Lally, P. et al. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology. A median of ~66 days.
- Wood, W.; Duhigg, C. Context cues and the habit loop.
- Milkman, K. et al. (2014). Temptation bundling.
- Marlatt, G. & Gordon, J.; Bouton, M. (2000). Relapse prevention; lapse vs. relapse.
- Bowen, S. et al. (2009). Mindfulness-Based Relapse Prevention; urge surfing.
- Forman, E. et al. (2007). A comparison of acceptance- and control-based strategies for coping with food cravings: an analog study. Behaviour Research and Therapy.
- Bate, K. et al. (2011). Habit Reversal Training meta-analysis (d≈0.80).
- Ye, J. et al. (2022); Colton, K. et al. (2024). Episodic Future Thinking.
- Oscarsson, M. et al. (2020). Approach vs. avoidance goals (N=1,066, 1 year).
- Lieberman, M. et al. (2007). Affect labeling and the prefrontal cortex.
- Grossmann, I. & Kross, E. Solomon's Paradox and self-distancing.
- Zhang, J. et al. (2025). State self-compassion and barrier self-efficacy.
- Dweck, C. Mindset and process praise.
- Skinner, B. F. Operant conditioning and variable-ratio reinforcement schedules: the foundation of unpredictable rewards.
- Hayes, S. Acceptance & Commitment Therapy and its six core processes.
- Harris, R. ACT made practical: the Choice Point and urge defusion.
- Fogg, B. J. Behavior Design (B=MAP) and Tiny Habits: the case for the 2-minute version.
- Khan, U. & Dhar, R. The licensing effect: how progress framing quietly licenses slipping.
- Sheldon, K. & Lyubomirsky, S. Hedonic Adaptation Prevention: why varying rewards keeps them fresh.
- Clark, L. & Zack, M. (2023). Engineered highs: reward variability and frequency as potential prerequisites of behavioural addiction. Addictive Behaviors. Why rewards here stay honest: no stakes, no near-misses.
- Pink, D. Drive: autonomy, mastery, and purpose.
Rewarding Habits is a skill-building app informed by this research. It is not therapy or a crisis service, and nothing here is a clinical claim or medical advice.
Put the science to work.
Build the habits you want, quit the ones holding you back, and let unpredictable rewards keep you going.