Why Anticipatory Action Needs Disability-Inclusive Data

Anticipatory action fails its promise when early warnings and early actions are designed around an average household that does not exist. Persons with disabilities often need longer lead times, accessible shelters, and tailored outreach — yet remain invisible in many datasets.

At CCI we treat disability-inclusive data collection, including WGSS modules, as a core design principle rather than an optional annex. That stance shapes baselines, training, and trigger design alike.

In practice, inclusion means budgeting for accessible venues, training enumerators on respectful interviewing, and analysing differentials instead of only reporting totals

Our ongoing indicator research aims to give partners ready-to-use M&E language that donors recognise and communities experience as respectful.

If your programme is revising AA logframes this year, start with who is missing from last season’s activation data — then redesign tools accordingly

Programme highlights

• Make disability visible in AA datasets
• Budget and train for inclusive fieldwork
• Analyse differentials, not only totals
• Use indicators partners can adopt

CCI embeds gender-responsive methodologies, disability-inclusive data collection, and intersectional analysis across all fieldwork and reporting — not as an add-on, but as a core design principle.