Why we start with one habit.
Research informs the system; it does not replace judgement. This page separates published findings, practical coaching principles and the Skill Stack's own decision rules.
01Published researchFindings from studies, reviews and meta-analyses.
02Practice frameworksUseful models that inform how a behaviour can be coached.
03Skill Stack modelProprietary sequencing and readiness decisions that are tested in coaching.
Section 1
The core premise.
The Skill Stack treats the gap between knowing and doing as a trainable behaviour problem, not a character flaw. The working hypothesis is simple: identify the limiting skill, make the first action easy enough to repeat, and build from real-world evidence.
Section 2
Evidence and design rationale.
What the research supports, and where Skill Stack makes a coaching decision.
Published research
Principle 1: Maintenance skills before weight loss skills.
Published finding: Kiernan et al. randomised 267 women to begin weight loss immediately or first spend eight weeks learning weight-maintenance skills. Weight loss was similar; the stability-first group regained an average 1.4 kg over the following year versus 3.3 kg in the comparison group.
Skill Stack decision: On the Fat Loss path, repeatable eating behaviours and planning can be built before tighter nutrition targets.
Design rationale
Principle 2: Narrow the active focus.
Design rationale: Cognitive load theory was developed in learning research, not as proof that one health habit is always better than several. Skill Stack applies the broader constraint, that attention is limited, to create a cleaner, more manageable coaching experiment.
Skill Stack decision: One primary skill at a time. The next skill is considered when the current behaviour is reliable enough to protect.
Research basis
Principle 3: Make mastery possible.
Research basis: Bandura's self-efficacy theory identifies successful mastery experiences as an important source of confidence in performing a behaviour.
Skill Stack decision: Start with a “9/10 easy” action so the client can generate credible evidence that they can follow through.
Published research
Principle 4: Habit automaticity takes longer than most programmes allow.
Published finding: Lally et al. tracked participants for 12 weeks. Estimated time to reach 95% of automaticity ranged from 18 to 254 days, with substantial variation between people and behaviours.
Skill Stack decision: Progress is not granted just because a fixed number of weeks has passed. Behaviour data and client judgement are used together.
Research on eating habits
Section 3
Category A: Eating behaviours.
Skills: Eat Slowly & Mindfully, Normalizing & Routinizing Eating, Recognising Hunger/Fullness
Published research
Study 1: Slower eating can reduce acute energy intake.
Robinson et al. (2014) · Meta-analysis of 22 studies- A meta-analysis of experimental studies found lower energy intake when people ate more slowly.
- There was substantial variation between studies.
- The analysis did not find a significant effect on hunger at the end of the meal.
Skill Stack decision: Eating slowly can be used as a low-complexity awareness skill, not as a guaranteed “automatic deficit.”
Practice framework
Practice principle: Create a predictable eating rhythm.
Coaching rationale, not a single causal claim- A repeatable meal rhythm may make hunger patterns easier to notice and planning easier to execute.
- The appropriate structure varies by person; regularity should not be presented as a universal treatment for binge eating.
Skill Stack decision: Normalizing & Routinizing Eating is used where irregular eating appears to be a practical bottleneck.
Practice framework
Practice model: Hunger and fullness awareness.
Informed by interoceptive practice and Intuitive Eating- Clients can practise noticing internal cues alongside emotional, habitual and environmental triggers.
- Intuitive Eating is a practice framework and book; it is not, by itself, a controlled trial.
- This skill is used to improve awareness, not to promise regulation without external support.
Skill Stack decision: Position depends on prerequisites. On Emotional Eating, it follows Identifying Somatics; on Fat Loss, it follows basic physiological stability.
Research and models for emotions
Category B
Emotional regulation.
Skills: Identifying Somatics, Separating Urges from Behaviours
Practice framework
Intervention model: Notice the state before changing the response.
Kristeller & Wolever · Mindfulness-Based Eating Awareness Training- MB-EAT uses mindfulness practice to build awareness of hunger, satiety and emotional triggers.
- Awareness can create a useful pause; it does not imply that every eating difficulty has the same cause.
Skill Stack decision: Identifying Somatics is an early skill on the Emotional Eating and Food Relationship paths.
Published research
Study 5: Responses to cravings can be practised.
Levin et al. (2012) · Acceptance-based coping research- Acceptance-based strategies have been studied as ways to change how people respond to food cravings.
- The practical aim is to notice an urge without treating it as an instruction that must be followed.
- No universal “peak within minutes” promise is made.
Skill Stack decision: Separating Urges from Behaviours teaches the pause after the client can identify what is happening.
Research on sleep, food and activity
Category C
Physiological stability.
Skills: Sleep Behaviours, Hydration, Protein
Published research
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.
- Under these controlled conditions, sleep opportunity materially changed the composition of weight lost.
Skill Stack decision: Sleep Behaviours can be prioritised when poor recovery is likely to undermine a nutrition or training plan.
Published research
Study 7: Mild dehydration can affect mood and selected cognitive tasks.
Ganio et al. (2011) · British Journal of Nutrition- In 26 young men, about 1.6% dehydration increased fatigue and tension/anxiety.
- It also worsened performance on visual vigilance and working-memory tasks; this does not establish every claimed effect on decision-making.
Skill Stack decision: Hydration is an early option because it is simple to measure and adjust, not because improvement within 24-48 hours is guaranteed.
Published research
Review 8: Higher-protein diets may improve satiety.
Leidy et al. (2015) · American Journal of Clinical Nutrition- A review found evidence that higher-protein diets may improve fullness and weight management.
- The authors also noted important limitations and the need for longer-term standardised trials.
Skill Stack decision: Protein is considered after more basic constraints when satiety or recovery appears to be limiting execution.
How surroundings can support habits
Category D
Environment design (EC1-EC5).
Framework: 9/10 Easy Action → Reminders → Supportive Environment → Conditioning → Tracking
Practice framework
Practice model: Change the choice architecture.
Thaler & Sunstein (2008) · Nudge- Visibility, convenience and defaults can influence behaviour.
- The size of that effect depends on the behaviour and context.
- Environment design can support a choice; it does not make agency or motivation irrelevant.
Skill Stack decision: EC3 (Supportive Environment) removes avoidable friction around the agreed action.
Practice framework
Practice model: Make the action easier to perform.
Fogg (2019) · Tiny Habits / Behaviour Model- Fogg's model describes behaviour as occurring when motivation, ability and a prompt converge.
- Reducing difficulty increases ability; it does not make motivation irrelevant.
Skill Stack decision: EC1 starts with a “9/10 easy” version intended to remain feasible on a difficult day.
Skill Stack model
Coaching hypothesis: Some skills create useful spillover.
Practical concept, not a guaranteed causal effect- A change in one area may make another behaviour easier, harder or unchanged.
- Skill Stack treats this as a modifier to observe, not proof that one habit will automatically transform the rest.
Skill Stack decision: Regular Physical Activity can be positioned where likely spillover is worth testing against the client's weekly data.
Research on training and recovery
Category E
Training and recovery.
Skills: Regular Physical Activity, Managing Training Loads, Purposeful Recovery
Published research
Meta-analysis 12: Exercise can reduce depressive symptoms.
Schuch et al. (2016) · Journal of Psychiatric Research- A meta-analysis in people with depression found a large effect versus non-active control conditions after adjustment for publication bias.
- This supports exercise as a useful option; it is not a claim that coaching replaces clinical care.
Skill Stack decision: Regular Physical Activity appears on all five paths and is sequenced around the client's capacity and recovery.
Published research
Review 13: Hypertrophy has multiple proposed mechanisms.
Schoenfeld (2010) · Journal of Strength and Conditioning Research- Schoenfeld's review discusses mechanical tension, metabolic stress and muscle damage as proposed mechanisms of hypertrophy.
- Structured progression remains a practical training principle, but this paper does not prove a direct analogy with behaviour change.
Skill Stack decision: Managing Training Loads teaches planned progression once attendance, technique and recovery are stable enough.
Practice framework
Training principle: Adaptation requires recovery.
Exercise physiology model- Training creates both stimulus and fatigue.
- Recovery capacity affects how much training a person can productively tolerate.
- The simple supercompensation curve is a useful model, not a complete description of every adaptation.
Skill Stack decision: Purposeful Recovery turns rest into a planned behaviour rather than an afterthought.
How we decide when to move on
Section 4
The readiness-based progression model.
Progress based on data, not time.
Skill Stack model
Lally et al. found wide variation in habit automaticity. Skill Stack therefore uses five internal coaching metrics rather than assuming that every behaviour should progress on the same date.
Skill Stack readiness rules:
- Consistency: repeated practice across the opportunities you planned, over several weeks. The schedule can be daily or less frequent.
- 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.
These thresholds are proprietary decision rules to be validated through coaching data; they are not thresholds established by the cited habit study.
Our coaching method
Section 5
The coaching methodology.
Informed by Precision Nutrition, behaviour science and real client feedback.
Skill Stack model
The operating principles are coaching choices, not universal laws:
- One primary habit at a time. A narrow focus makes execution and feedback easier to interpret.
- Behaviour skills before food quality. How before what.
- Progress based on readiness, not time. Data over calendar.
- Environment design as support. Remove friction without pretending motivation is irrelevant.
- Coach as guide, not enforcer. The client keeps meaningful choice and veto power.
Section 6
What this means for you.
“A plan can fail even when the person is trying hard. The useful question is not ‘what is wrong with me?’ but ‘what made this behaviour difficult to repeat?’”
The practical approach is to start with the best-supported hypothesis, reduce unnecessary difficulty, and watch what happens in real life. The research narrows the options; the client's data determines what should happen next.
Full research and practice references
Section 7
Research and practice sources.
- 1. Kiernan, M., 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). A systematic review and meta-analysis examining the effect of eating rate on energy intake and hunger. 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., et al. (2010). Insufficient sleep undermines dietary efforts to reduce adiposity. Annals of Internal Medicine, 153(7), 435-441.
- 10. Ganio, M.S., et al. (2011). Mild dehydration impairs cognitive performance and mood of men. British Journal of Nutrition, 106(10), 1535-1543.
- 11. Leidy, H.J., et al. (2015). The role of protein in weight loss and maintenance. 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. Practice-oriented trade book; included as a concept source, not a clinical trial.
- 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.