The Science We Use
The science behind
the system.
No fads. No guesswork. Frameworks and research that predict behaviour change. Below is the evidence behind every layer of the Skill Stack.
Section 1
The core premise.
The gap between knowing what to do and actually doing it is a skill gap, not a character flaw. Most programmes hand people Level 10 habits before they've built the Level 1 skills required to execute them. Research shows foundational skills must come first.
Section 2
The skill sequencing evidence.
Why skills must be built in dependency order.
Principle 1: Maintenance skills before weight loss skills.
Research: Kiernan et al. (2013) randomised 267 women into two groups. One learned stability skills for 8 weeks before weight loss; the other started weight loss immediately. Both lost equal weight during the active phase. Over the following year, the stability-first group regained less than half as much weight.
Application: Fat Loss path teaches eating behaviours and planning before calorie targets. Every path follows stability-first logic.
Principle 2: One habit at a time beats multiple simultaneous changes.
Research: Precision Nutrition (100,000+ clients) and cognitive load theory (Sweller, 1988) both show working memory has limits. Splitting attention across multiple new behaviours reduces the attention any single behaviour needs to become automatic.
Application: One skill at a time. Next skill unlocks only when current meets readiness criteria.
Principle 3: Self-efficacy predicts long-term adherence better than motivation.
Research: Bandura (1977, 1997) shows belief in your ability to execute predicts persistence. Self-efficacy builds through mastery experiences; motivation spikes and crashes.
Application: Skills start at “9/10 easy.” Each completed action becomes proof. Over 20 skills, identity shifts.
Principle 4: Habit automaticity takes longer than most programmes allow.
Research: Lally et al. (2010) tracked habit formation over 12 weeks. Time to automaticity ranged from 18 to 254 days. More complex behaviours took longer.
Application: No time-based progression. Stay on a skill until data confirms automaticity — typically 4–8 weeks or longer.
Section 3
Category A: Eating behaviours.
Skills: Eat Slowly & Mindfully, Normalizing & Routinizing Eating, Recognising Hunger/Fullness
Study 1: Eating speed directly affects caloric intake.
Robinson et al. (2014) · Meta-analysis of 22 studies
- Slower eating reduces calories per meal without active restriction.
- Satiety hormones (GLP-1, peptide YY) take 15–20 minutes to signal the brain.
- Eating faster than that means the signal arrives after the meal is finished.
Application: Eat Slowly & Mindfully is Skill 1 on Fat Loss path. Automatic deficit without tracking, restriction, or willpower.
Study 2: Predictable meal patterns reduce binge eating frequency.
Eating regularity research
- Chaotic meal timing is linked to higher caloric intake and more binge episodes.
- Unpredictable eating keeps the body in a scarcity state, amplifying hunger signals.
Application: Normalizing & Routinizing Eating is placed early on every path. Stable rhythm before any nutrition change.
Study 3: Hunger/fullness recognition is a learnable skill.
Tribole & Resch (2012, 2020) · Intuitive Eating
- People can learn to distinguish physical hunger from emotional, habitual, and external cues.
- Requires interoceptive awareness — noticing internal body states.
- With it, people regulate intake without external tracking.
Application: Position depends on prerequisites. On Emotional Eating path, it follows Identifying Somatics. On Fat Loss path, it comes after physiological stability.
Category B
Emotional regulation.
Skills: Identifying Somatics, Separating Urges from Behaviours
Study 4: Interoceptive awareness is the foundation of emotional eating intervention.
Kristeller & Wolever · MB-EAT programme (ACT-based)
- Detecting and naming internal physical/emotional states is key to changing emotion-driven eating.
- If you can't notice stress/boredom/anxiety before eating, you can't interrupt the pattern.
Application: Identifying Somatics is Skill 1 on Emotional Eating and Food Relationship paths. Root node.
Study 5: Urges are temporary — and riding them out is trainable.
Levin et al. (2012) · ACT/DBT urge surfing literature
- Cravings rise, peak within minutes, then decline.
- Intensity feels permanent in the moment, but urges are waves, not walls.
- Teaching people to tolerate and observe the urge builds capacity to separate impulse from behaviour.
Application: Separating Urges from Behaviours teaches the pause. Placed after Identifying Somatics.
Category C
Physiological stability.
Skills: Sleep Behaviours, Hydration, Protein
Study 6: Sleep affects what kind of weight you lose in a deficit.
Nedeltcheva et al. (2010) · Annals of Internal Medicine
- Same calorie deficit, different sleep: 5.5h vs 8.5h.
- Sleep-restricted group lost more lean mass and less fat.
- Sleep duration alone changed body composition outcome.
Application: Sleep Behaviours appears on all paths before nutritional refinement. High-priority fix on Fat Loss.
Study 7: Mild dehydration impairs mood, energy, and cognitive performance.
Ganio et al. (2011) · British Journal of Nutrition
- 1–2% dehydration produces measurable impairments in mood, energy, cognition, and perceived task difficulty.
- Cognitive resources needed for decision-making and impulse control are diminished.
Application: Hydration placed early on every path. Fastest tangible improvement — often within 24–48 hours.
Study 8: Protein stabilises blood sugar and supports impulse control.
Leidy et al. (2015) · American Journal of Clinical Nutrition
- Higher protein increases satiety and reduces subsequent intake.
- Stable blood sugar supports steady energy, making decisions and resisting cravings easier.
Application: Protein placed after hydration and sleep. Physiological stability makes awareness skills easier to execute.
Category D
Environment design (EC1–EC5).
Framework: 9/10 Easy Action → Reminders → Supportive Environment → Conditioning → Tracking
Study 9: Small changes to choice architecture produce large behavioural shifts.
Thaler & Sunstein (2008) · Nudge Theory
- What's visible, easy, and default has a larger effect than information or motivation.
- People choose the path of least resistance.
- Design the environment to make the desired behaviour the easy behaviour.
Application: EC3 (Supportive Environment) operationalises this. Environment first, behaviour follows.
Study 10: Tiny behaviours survive bad days.
Fogg (2019) · Tiny Habits / Behaviour Model
- Behaviour = Motivation × Ability × Prompt.
- When ability is high (tiny) and prompt present, motivation becomes almost irrelevant.
Application: EC1 (9/10 Easy Action) starts every skill at the smallest possible version. Survives bad days without motivation.
Study 11: Keystone habits trigger cascading positive changes.
Duhigg (2012) · The Power of Habit
- Certain behaviours cause other behaviours to shift spontaneously.
- Exercise is the classic example: regular exercise improves eating, sleep, and stress management.
Application: Regular Physical Activity positioned strategically on every path — not for calories, but because it makes other skills easier.
Category E
Training and recovery.
Skills: Regular Physical Activity, Managing Training Loads, Purposeful Recovery
Study 12: Exercise produces a large, reliable reduction in depressive symptoms.
Schuch et al. (2016) · Journal of Psychiatric Research
- Meta-analysis: structured exercise produces large reduction in depressive symptoms vs inactive controls.
- Mechanisms: endorphins, increased BDNF, cortisol reduction, improved sleep.
Application: Regular Physical Activity appears on all five paths. On Energy & Mood, placed after physiological stability skills.
Study 13: Progressive overload is the primary mechanism for hypertrophy and strength adaptation.
Schoenfeld (2010) · Journal of Strength and Conditioning Research
- Progressive mechanical tension drives hypertrophy.
- Without progressive overload, training maintains but doesn't build.
- Same principle applies to behaviour change: increase load once stable.
Application: Managing Training Loads teaches structured progression. On Build Muscle, unlocks only when training consistency is 3/3.
Study 14: Recovery is an active process required for adaptation.
Supercompensation model · Exercise physiology
- Adaptation cycle: stimulus → fatigue → recovery → adaptation.
- Without adequate recovery, the system never reaches adaptation.
- Chronic under-recovery leads to fatigue, decline, and burnout.
Application: Purposeful Recovery teaches rest as a skill. On Emotional Eating path, provides structured downtime that doesn't default to eating.
Section 4
The readiness-based progression model.
Progress based on data, not time.
Habit formation is too individually variable for time-based progression. Lally et al. (2010): automaticity took 18–254 days.
Five metrics determine readiness:
- Consistency: 6–7 days for 3 consecutive weeks.
- Confidence: 4–5 out of 5.
- Automaticity: 4–5 out of 5 (minimal effort).
- Environment Stability: 4–5 out of 5.
- Subjective Readiness: Veto power — “no” blocks progression.
All five must be met before the next skill unlocks.
Section 5
The coaching methodology.
Built on Precision Nutrition's framework.
Precision Nutrition ProCoach, developed across 100,000+ clients.
- One habit at a time. Focus produces results.
- Behaviour skills before food quality. How before what.
- Progress based on readiness, not time. Data over calendar.
- Environment design as primary intervention. Willpower becomes optional.
- Coach as guide, not enforcer. Autonomy-supportive coaching works better (Self-Determination Theory, Deci & Ryan).
Section 6
What this means for you.
"If you've tried programmes before and they didn't stick — the research suggests it wasn't your fault. You were given Level 10 habits without Level 1 skills. You were asked to change multiple things at once when the science says that's overwhelming. You were moved to the next habit before the current one was automatic. You were told to try harder when the environment was working against you."
The evidence says: build the foundation first. One skill at a time. Progress when the data says you're ready, not when a calendar says so. Design your environment so the right choice is the easy choice. That's what the Skill Stack is built to do.
Section 7
References.
- 1. Kiernan, M., Brown, S.D., Schoffman, D.E., Lee, K., King, A.C., Taylor, C.B., et al. (2013). Promoting healthy weight with "stability skills first": A randomized trial. Journal of Consulting and Clinical Psychology, 81(2), 336–346.
- 2. Precision Nutrition. ProCoach Certification Curriculum.
- 3. Bandura, A. (1977, 1997). Self-Efficacy Theory.
- 4. 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), 998–1009.
- 5. Robinson, E., et al. (2014). American Journal of Clinical Nutrition, 100(1), 123–131.
- 6. Tribole, E., & Resch, E. (2012, 2020). Intuitive Eating.
- 7. Kristeller, J.L., & Wolever, R.Q. MB-EAT programme.
- 8. Levin, M.E., et al. (2012). Appetite, 58(2), 508–514.
- 9. Nedeltcheva, A.V., Kilkus, J.M., Imperial, J., Schoeller, D.A., & Penev, P.D. (2010). Annals of Internal Medicine, 153(7), 435–441.
- 10. Ganio, M.S., et al. (2011). British Journal of Nutrition, 106(10), 1535–1543.
- 11. Leidy, H.J., et al. (2015). American Journal of Clinical Nutrition, 101(6), 1320S–1329S.
- 12. Thaler, R.H., & Sunstein, C.R. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness.
- 13. Fogg, B.J. (2019). Tiny Habits: The Small Changes That Change Everything.
- 14. Duhigg, C. (2012). The Power of Habit.
- 15. Schuch, F.B., Vancampfort, D., Richards, J., Rosenbaum, S., Ward, P.B., & Stubbs, B. (2016). Exercise as a treatment for depression: A meta-analysis adjusting for publication bias. Journal of Psychiatric Research, 77, 42–51.
- 16. Schoenfeld, B.J. (2010). Journal of Strength and Conditioning Research, 24(10), 2857–2872.
- 17. Deci, E.L., & Ryan, R.M. Self-Determination Theory.
- 18. Sweller, J. (1988). Cognitive Science, 12(2), 257–285.