We advocate a culture of
learning and shared
knowledge, promoting
the use of FAIR data.

How we work with data

Tools & products

Co-design of research tools

We build surveys and indices with communities and partners, so data reflects lived realities and earns trust.

Sampling frameworks & survey design

Strong data starts with strong design. Our rigorous frameworks ensure representative, statistically sound insights, from national surveys to rapid mobile assessments.

Data Quality Assurance (DQA) tools

Numbers only matter if they’re trustworthy. Our DQA tools detect and correct bias, strengthen consistency, and ensure credibility in every dataset.

Predictive modelling

We don’t just analyse what happened, we forecast what might happen, helping partners prepare for tomorrow’s challenges.

Our methods at a glance

Participatory forums

Spaces where communities, local actors, and decision-makers come together to co-design solutions and share knowledge

Retour Sur Image

A reflective visual method where participants revisit images or videos to deepen analysis.

Lifelines

Lifelines: Visual storytelling that maps lived experiences over time.

Ecosystem Model

Maps support systems — from family to policy — to reveal hidden networks.

Corpus & Lexicon Analysis

Turns words into data, decoding narratives and silences over time.

Data quality & dashboards

Applying automated data checks and real-time dashboards that translate raw data into accessible insights for decision-makers.

Replicable sampling

Designing robust and representative surveys — from national household studies to rapid mobile-based assessments.

Multi-dimensional indices

Building composite measures (e.g. wellbeing, integration, resilience) that capture complex realities

More Data insights coming soon!

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