RADHAA IMPACT LAB

Evidence that travels farther than a project.

A practical evidence layer for baselines, field records, indicators, maps, qualitative learning, verification and transparent reporting.

WHO IT IS FOR

Programme teams, communities, researchers, funders and learning partners

CORE APPROACH

Define first, collect responsibly, verify and explain

EVIDENCE

Every number keeps its source, period, geography and status

01

Baselines

A baseline should define the starting point and the decision it needs to support before selecting a metric. Useful evidence is proportionate to programme risk, scale and purpose.

02

Field data model

Every number should retain a definition, source, reporting period, geography, status and last-verified date. People, land, activities and outcomes remain separate data concepts.

03

Verification status

Targets, reported figures and verified results are visually and conceptually distinct. A number does not become verified simply because it appears in a dashboard.

04

Dashboards and reports

Public views will be added as responsible data becomes available. Empty spaces are labelled in development rather than filled with invented charts or placeholder impact.

05

Farmer stories and qualitative evidence

Consent-controlled stories add experience and meaning. They complement quantitative signals but do not substitute for defined indicators or wider evidence.

06

Data responsibility

Sensitive identifiers, exact personal addresses, financial details and raw geolocation are not public evidence. Collection and access should remain purpose-limited and proportionate.

07

Research partnerships

Partners can contribute methodology, ethics, analysis, field tools, verification or learning design when the work remains useful to communities and understandable to non-specialists.

PARTNERSHIP OPPORTUNITY

Explore a research or evidence partnership

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