Headway

Blending social insights with data for

We transform complex social insights and detailed data analysis into strategic guidance.

Our Featured Tools

These tools are developed and applied within our Analytics & Foresight, Strategic Advisory, and Support & Acceleration work, ensuring methodological rigour is directly connected to real-world decisions.

SYNTHETIC CONTROL
OUR NEW TOOL

Impact Twin

Measuring what an intervention actually caused. Impact Twin uses the Synthetic Control Method to build a data-driven counterfactual — a “synthetic twin” of the treated unit — estimating real, defensible impact for policies and programmes where a controlled trial isn’t possible.

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DQF · ANALYSIS READINESS
Two-group comparison READY
Multi-group route NEEDS +94
Population inference DESCRIPTIVE
OUR NEW TOOL

Data Quality Framework

Know what your dataset can really support. DQF is Headway’s analyst-led data quality framework — turning survey and behavioural datasets into audit-ready evidence, analysis-readiness guidance and recruitment decisions, before weak comparisons become reporting problems.

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AUTOMATIC ASSOCIATIONS
OUR NEW TOOL

Measuring Automatic Associations and Unconscious Bias

The Implicit Association Test (IAT) is a behavioural research method that measures how quickly people associate concepts (for example, gender–career, migration–threat, technology–trust). These reaction-time patterns reveal automatic associations that are often not captured through surveys or interviews alone.

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WELFARE DISPARITIES
SEE ALSO

Assessing Regional Welfare Disparities in Europe

Reframing Welfare Index is a set of composite welfare indicators aiming to measure and assess regional welfare disparities in Europe. Social and individual welfare is more than just material wealth at the individual and social levels. It is a holistic aspiration of modern societies that reaches into the social, economic, political, financial, cultural, and environmental character of a society that allows all individuals to realise their full potential in a fair and just way.

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