Methodology
The science behind every system in Rewire.
How Rewire actually works
Most behavior change apps are gamified streak counters with a wellness aesthetic. Rewire is something different. Every feature in this app is built from a specific piece of behavioral neuroscience or clinical psychology research. This page documents what that research is, what it actually says, and how it shapes the product you see on your screen.
If you are a researcher, a clinician, a journalist, or a curious user who wants to verify the claims, this is the document for you.
The core thesis
Habit change is a neurochemical process, not a willpower problem. Two systems run in parallel inside your brain:
- The dopamine system, which drives wanting, novelty, anticipation, and starting new behaviors. It is the chemistry of pursuit.
- The here-and-now system, made up of serotonin, oxytocin, and endorphins, which drives sustaining, presence, and reward from behaviors already underway.
Most habit attempts fail in the gap between these two systems. The dopamine of starting fades around day seven to fourteen. The here-and-now reward of a settled habit has not been built yet. The result is the classic day twenty-one to thirty-five trough, where users feel flat, conclude the system is not working, and quit.
Rewire is designed for this trough. The first thirty days follow a deliberate neurochemical arc with progressive feature unlocks tied to emotional readiness rather than calendar streaks.
The science behind each Rewire system
1. The Dopamine Score (quantified behavioral metric)
The Dopamine Score is a 0 to 100 metric composed of five weighted components: Habits, Momentum, Recovery, Quick Action Boost, and Win Bonus. It is not a wellness score and it is not a productivity score. It is a behavioral exposure score that proxies how much your day-to-day actions are loading your reward system with high-stimulation versus low-stimulation inputs.
The underlying research:
- Volkow, N. D., et al. (2011). “Addiction: beyond dopamine reward circuitry.” Proceedings of the National Academy of Sciences. Nora Volkow’s work at the National Institute on Drug Abuse established that chronic exposure to high-dopamine stimuli downregulates D2 receptor availability, which is why people stuck in compulsive loops report anhedonia, low motivation, and a flattened response to ordinary rewards. The Dopamine Score is built to make this exposure legible to the user, day by day, so they can see the downregulation and recovery curve they are otherwise blind to.
- Schultz, W. (2016). “Dopamine reward prediction error coding.” Dialogues in Clinical Neuroscience. Wolfram Schultz’s prediction-error work explains why dopamine fires on the anticipation of a reward, not the reward itself. This is why the Dopamine Score uses variable feedback intervals and earned reveals rather than constant positive reinforcement.
2. The Habit Loop (cue, routine, reward)
Rewire’s core action cycle, log an action, watch the Score change, earn or lose XP, read contextual SIGNAL feedback, comes directly out of the cue-routine-reward framework popularized in mainstream behavior change literature and validated in academic habit research.
The underlying research:
- Duhigg, C. (2012). The Power of Habit: Why We Do What We Do in Life and Business. Random House. Duhigg’s synthesis of MIT and Duke University habit research established cue, routine, reward as the three-part loop the basal ganglia uses to automate behavior. Rewire’s logging flow is the cue. The intervention or alternative action is the routine. The Score change and SIGNAL feedback is the reward. Every screen in the app is consciously placed inside this loop.
- Wood, W., & Rünger, D. (2016). “Psychology of Habit.” Annual Review of Psychology, 67, 289 to 314. Wendy Wood’s decades of habit research established that habits form through context-dependent automaticity, not through conscious motivation. Her research shows that successful habit change requires changing the environment and the context cues, not just the goal. This is why Rewire’s Predictive Urges roadmap, which uses SIGNAL data to detect context patterns and intervene before an urge consciously registers, is the central next chapter of the product.
- Lally, P., van Jaarsveld, C. H. M., Potts, H. W. W., & Wardle, J. (2010). “How are habits formed: Modelling habit formation in the real world.” European Journal of Social Psychology, 40(6), 998 to 1009. Lally’s UCL study found that habit formation takes a median of 66 days, with high variance (18 to 254 days). This is the empirical foundation for Rewire’s progressive feature unlocking. The app does not assume a habit is “done” at day 21 or day 30. The Recovery score continues to weight clean-day streaks up to 15 days, and the long-term arc structure extends well past three months.
3. The Urge Intervention System
When a user taps “I AM HAVING AN URGE,” they enter a structured pathway: habit type, intensity slider, fifteen-second breathing exercise, then a choice between two micro-interventions presented as game cartridges. Every intervention in the library is interactive, timed, and based on a specific clinical protocol.
The underlying research:
- Verbruggen, F., & Logan, G. D. (2008). “Response inhibition in the stop-signal paradigm.” Trends in Cognitive Sciences, 12(11), 418 to 424. The Reflex Override intervention is built on Inhibitory Control Training, where users practice stopping a prepotent response on cue. Studies of this protocol show meaningful effects on alcohol consumption, snacking, and impulsive behavior. Rewire turns this from a lab task into a thirty-second mobile interaction.
- Marlatt, G. A., & Donovan, D. M. (2005). Relapse Prevention: Maintenance Strategies in the Treatment of Addictive Behaviors (2nd ed.). Guilford Press. Alan Marlatt’s Mindfulness-Based Relapse Prevention (MBRP) is the source of the Urge Surfing intervention. The clinical version is “sit and observe the craving as a wave that rises, peaks, and fades without acting on it.” Rewire’s version turns this into a tactile, finger-dragging wave mechanic so the user feels the rise-peak-fade curve in their body during the urge itself.
- Coles, N. A., et al. (2022). “A multi-lab test of the facial feedback hypothesis.” Nature Human Behaviour, 6, 1731 to 1742. The Face Calm intervention combines facial feedback with progressive muscle relaxation. The 2022 multi-lab replication confirmed that facial muscle posture has a small but reliable effect on emotional state, validating the design choice.
- Jacobson, E. (1938). Progressive Relaxation. University of Chicago Press. Pressure Release uses Progressive Muscle Relaxation, originally developed by Edmund Jacobson, combined with DBT TIPP skills (Temperature, Intense exercise, Paced breathing, Paired muscle relaxation) from Marsha Linehan’s dialectical behavior therapy framework. PMR has nearly a century of clinical evidence behind it.
4. The Neurochemical Arc (progressive feature unlocks)
Rewire’s first thirty days are not the same thirty days for every user. Features unlock based on a designed arc:
- Days 1 to 7: dopamine-heavy mechanics. Streaks, the Dopamine Score, the Detox Challenge, slot-machine-style intervention selection. The user is in the chemistry of starting and the product matches it.
- Day 7 unlock: Gratitude journal with two-minute constrained prompts. The shift from dopamine to H&N (oxytocin, serotonin) begins here.
- Day 14 unlock: SIGNAL pattern reflections. The user is now seeing their own behavioral data as narrative.
- Day 21 unlock: Daily structure and ritual scaffolding. By this point the basal ganglia loop is forming and the user can carry more weight.
- Day 30 and beyond: Accountability Partners. Social bonding chemistry (oxytocin) becomes the dominant reinforcement layer once the dopamine novelty has fully faded.
This arc is grounded in the dopamine versus H&N framework from Lieberman, D. Z., & Long, M. E. (2018). The Molecule of More. BenBella Books, combined with the habit-formation timeline data from Lally (2010) and the behavior change stages literature.
5. Variable Reward and the Gems Economy
Rewire’s Gems economy awards one to five gems per logged good action. The variable ratio is deliberate.
- Ferster, C. B., & Skinner, B. F. (1957). Schedules of Reinforcement. Appleton-Century-Crofts. Variable-ratio reinforcement schedules produce the highest rates of sustained behavior and the slowest extinction. Skinner’s foundational work is the reason every slot machine, social media feed, and well-designed habit app uses variable rewards rather than fixed ones. Rewire applies this consciously, with the explicit ethical guardrail that the rewards are tied to user-defined good actions, not to time-on-app.
6. Identity-Based Behavior Change
The post-intervention choice screen in Rewire asks the user to declare “I am the kind of person who...” rather than “I did the thing.” This is identity-based behavior change.
- Clear, J. (2018). Atomic Habits. Avery. Clear’s synthesis of the identity-versus-outcome research argues that behavior change is durable only when it is tied to a shift in self-concept rather than a goal outcome. The cited primary research includes Burke and Stets’s identity theory work in sociology and the self-perception theory tradition from Daryl Bem.
- Bem, D. J. (1972). “Self-perception theory.” Advances in Experimental Social Psychology, 6, 1 to 62. Bem’s foundational paper argues that people infer their attitudes from observing their own behavior. Rewire surfaces every defeated urge and every good action back to the user as identity evidence, not as productivity metrics.
Privacy as methodological commitment
Rewire stores 100% of user data locally on device. No account is required. The only off-device data is anonymous PostHog analytics for product improvement. This is not a marketing position. It is methodological: behavioral data is the most intimate data a person generates, and exporting it to a cloud creates incentives for the product to optimize for engagement rather than user outcomes. Rewire is built to optimize for the user getting better, even if that means using the app less over time.
See the full privacy policy for the technical breakdown.
References
- Bem, D. J. (1972). Self-perception theory. Advances in Experimental Social Psychology, 6, 1 to 62.
- Clear, J. (2018). Atomic Habits. Avery.
- Coles, N. A., et al. (2022). A multi-lab test of the facial feedback hypothesis. Nature Human Behaviour, 6, 1731 to 1742.
- Duhigg, C. (2012). The Power of Habit. Random House.
- Ferster, C. B., & Skinner, B. F. (1957). Schedules of Reinforcement. Appleton-Century-Crofts.
- Jacobson, E. (1938). Progressive Relaxation. University of Chicago Press.
- Lally, P., van Jaarsveld, C. H. M., Potts, H. W. W., & Wardle, J. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40(6), 998 to 1009.
- Lieberman, D. Z., & Long, M. E. (2018). The Molecule of More. BenBella Books.
- Marlatt, G. A., & Donovan, D. M. (2005). Relapse Prevention (2nd ed.). Guilford Press.
- Schultz, W. (2016). Dopamine reward prediction error coding. Dialogues in Clinical Neuroscience, 18(1), 23 to 32.
- Verbruggen, F., & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends in Cognitive Sciences, 12(11), 418 to 424.
- Volkow, N. D., Wang, G. J., Fowler, J. S., Tomasi, D., & Telang, F. (2011). Addiction: beyond dopamine reward circuitry. PNAS, 108(37), 15037 to 15042.
- Wood, W., & Rünger, D. (2016). Psychology of Habit. Annual Review of Psychology, 67, 289 to 314.
Have a paper that should be on this list, or a critique of how Rewire is interpreting the research? Email connect@rewirelabs.app. This page is a living document and will be updated as the science evolves.