Behaviour change technique taxonomy
Also known as: BCTTv1
A shared vocabulary of 93 discrete techniques for changing behavior.
What it means
The Behaviour Change Technique Taxonomy (BCTTv1) is a standardized, hierarchically organized list of 93 distinct 'active ingredients' of behavior-change interventions, grouped into sixteen clusters. Each technique — for example goal-setting, self-monitoring of behavior, feedback on outcomes, social support, information about consequences, or commitment — is defined as the smallest observable and replicable component that can bring about change, which is the mechanism by which the taxonomy adds value: it gives researchers and practitioners a precise common language to specify exactly what an intervention contains. This standardization addresses a long-standing problem in which interventions were described too vaguely to be reliably reproduced, compared across studies, or pooled in meta-analyses. With a shared vocabulary, complex programs can be coded as explicit combinations of techniques, replicated faithfully, and analyzed to learn which ingredients actually drive effects. A nuance is that the taxonomy catalogues the techniques themselves rather than guaranteeing their effectiveness or the mechanisms through which they work, which later 'mechanisms of action' research has sought to map. It matters as core infrastructure for cumulative, replicable behavioral science and for the disciplined design and reporting of interventions.
How it was built
The taxonomy is the product of a deliberate consensus exercise, not one author's scheme. It grew from Abraham and Michie's 2008 list of 26 techniques, through the 40-item CALO-RE taxonomy, to the 93 of BCTTv1, assembled by an international expert group that sorted, labelled and defined candidate techniques over iterative rounds until they agreed. Each label carries a definition precise enough that two people reading the same intervention description should pick out the same components. The sixteen clusters — goals and planning, feedback and monitoring, social support, and so on — are an organising convenience, not a theoretical claim; the technique, not the cluster, is the unit that matters.
How reliably it can be coded
A taxonomy is only useful if different people apply it the same way. When forty trained coders labelled forty published intervention descriptions, most techniques reached prevalence- and bias-adjusted kappa above 0.70, with good agreement again a month later, so the shared vocabulary holds up. Reliability is not automatic: it depends on training, some techniques are identified far more consistently than others, and many of the 93 appear rarely or never in typical write-ups. Coding also inherits the vagueness of the source text — a technique used but not reported cannot be coded — so BCT counts describe what interventions say they did, not necessarily what they did.
What the evidence shows
Coding interventions into shared techniques lets researchers ask which ingredients travel with better outcomes, though the answers are noisier than the method's tidiness suggests. A widely cited meta-regression of healthy-eating and physical-activity trials found that programmes combining self-monitoring with other self-regulation techniques from control theory outperformed those without them. Later reviews echoed the value of self-monitoring and action planning in some domains but not others. The lesson is modest: no single technique is reliably active everywhere, effect estimates from these observational moderator analyses are not causal, and the same labelled technique can be delivered well or badly. The taxonomy sharpens the question more than it settles the answer.
Where it shows up
Beyond research synthesis, the taxonomy has become reporting infrastructure. Trial protocols and intervention manuals increasingly specify content as named techniques so others can reproduce them; reviewers code dozens of heterogeneous programmes onto one grid; and designers of digital health products, from step-count apps to smoking-cessation services, audit what they contain against the list. It has been applied well outside its physical-activity and eating origins — to medication adherence, hand hygiene, clinician behaviour and implementation strategies. Its main practical payoff is diagnostic: coding a programme often reveals that an intervention marketed as behavioural is mostly information provision, missing the goal-setting, monitoring and feedback that tends to do the work.
The turn to mechanisms and an ontology
By design the taxonomy names techniques without committing to how they work, because one technique can act through several mechanisms depending on context. That deliberate silence prompted the next wave: the Theory and Techniques Tool, built from a literature synthesis and an expert-consensus study, maps links between techniques and 26 mechanisms of action such as beliefs about capabilities or intentions. In 2023 the taxonomy itself was reworked into the Behaviour Change Technique Ontology, which rewrites labels and definitions, adds and subdivides techniques, and arranges them in a formal structure software can reason over. BCTTv1 remains the widely used working standard; the ontology is its more expressive successor.
Examples
An intervention coded as 'self-monitoring + feedback + goal-setting' can be precisely reproduced.
Two weight-loss apps both claim to use behavioral science; coded against the taxonomy, one is only prompts and information, while the other adds self-monitoring, goal-setting, and social support.
A reviewer pooling dozens of physical-activity trials can only ask which ingredient actually works once every programme is coded into the same shared list of named techniques.
A pharmacy's medication-adherence programme, coded against the taxonomy, turns out to rely almost entirely on 'information about health consequences,' lacking the reminders, self-monitoring and action planning that adherence reviews favour.
A hospital's hand-hygiene campaign is specified as 'prompts and cues plus feedback on behaviour plus goal-setting,' letting a second ward replicate the exact same components rather than a vague 'awareness push.'
First described in Michie et al. (2013).
Key references
- Marques, M. M., Wright, A. J., Corker, E., Johnston, M., West, R., Hastings, J., Zhang, L., & Michie, S. (2023). The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1. Wellcome Open Research, 8, 308. doi.org/10.12688/wellcomeopenres.19363.1
- Connell, L. E., Carey, R. N., de Bruin, M., Rothman, A. J., Johnston, M., Kelly, M. P., & Michie, S. (2019). Links Between Behavior Change Techniques and Mechanisms of Action: An Expert Consensus Study. Annals of Behavioral Medicine, 53(8), 708-720. doi.org/10.1093/abm/kay082
- Abraham, C., Wood, C. E., Johnston, M., Francis, J., Hardeman, W., Richardson, M., & Michie, S. (2015). Reliability of Identification of Behavior Change Techniques in Intervention Descriptions. Annals of Behavioral Medicine, 49(6), 885-900. doi.org/10.1007/s12160-015-9727-y
- Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M. P., Cane, J., & Wood, C. E. (2013). The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions. Annals of Behavioral Medicine, 46(1), 81-95. doi.org/10.1007/s12160-013-9486-6
- Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., & French, D. P. (2011). A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychology & Health, 26(11), 1479-1498. doi.org/10.1080/08870446.2010.540664
- Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychology, 28(6), 690-701. doi.org/10.1037/a0016136