WHAT WE’RE GOOD AT

Evidencing complex change means handling more data, more carefully.

Measuring impact on complex and indirect outcomes demands richer qualitative evidence at scale, raising the bar for privacy, data minimisation, and defensible analysis.

Data Conscious helps teams generate findings they can stand behind: rigorous evaluation, careful handling of sensitive information, and qualitative outcome analysis designed to hold up to scrutiny.

TYPICAL CHALLENGES WE HELP WITH

Sensitive or high-risk data environments — protection incidents, survivor-centred work, security/duty of care cases

Indirect outcomes — behaviour change, norms and IHL, advocacy influence, collective protection results

Evidence that sits across interviews, documents, partner inputs, and monitoring data

Translating qualitative evidence into clear, decision-ready conclusions without over-claiming

If you’re considering an evaluation or research study, book a call to discuss scope, safeguards, and what “defensible evidence” looks like in your context.

PREVIOUS WORK

Selected projects

Independent evaluations, measurement frameworks, and research partnerships across humanitarian response, protection, and development.

EXTERNAL EVALUATION

Diakonia IHL Centre

Independent evaluation of the IHL Centre programme covering 2022–2025. Using Outcome Harvesting and Process Tracing to assess influence on key actors across legal advisory, capacity building, and advocacy workstreams.

MID-TERM EVALUATION

Protect Aid Workers

Mid-term evaluation of the PAW rapid-response safety net mechanism for humanitarian staff facing security incidents. Assessing eligibility, partner roles, decision-making, and equity gaps.

RESEARCH MAPPING

Norwegian Refugee Council

Research mapping to assess the humanitarian research landscape and feasibility of new research partnerships and funding opportunities, with focus on displacement, protection, and long-term outcomes.

MEASUREMENT FRAMEWORK

ICRC

Bespoke monitoring and evaluation system for a multi-year, multi-country sexual violence prevention enhancement project. Global Theory of Change, milestones, and tools across two delivery models.

EXTERNAL EVALUATION

IOM

Evaluation of IOM’s Migration Data Strategy, assessing its influence on migration data activities, coherence in data management, and sustainability of partnerships with external actors.

EXTERNAL EVALUATION

RedR UK

Independent evaluation of RedR’s 2023–2024 Climate Change Adaptation and Disaster Risk Reduction programme, assessing outcomes, internal M&E systems, and the revised delivery model.

MEASUREMENT FRAMEWORK

IASC protection task force

Designed the Centrality of Protection Measurement Framework — a risk-based approach linking proxy indicators to threat, vulnerability and capacity, with qualitative tools for collective outcome measurement.

M&E GUIDANCE

Danish Refugee Council

Guidance on using monitoring data to evidence progress against DRC’s global results framework, connecting country office data to nine outcome areas and identifying best-fit approaches for field contexts.

TRAINING & WORKSHOPS

InterAction

Theory of Change and M&E training across Somalia, Niger, and Colombia. Co-developed grounded protection risk analyses and six independent theories of change for community-based protection activities.

EXTERNAL EVALUATION

H2H NETWORK

Case study evaluations of H2H Network activations across five separate crises: the 2022 Horn of Africa drought, the 2022 Pakistan floods, the 2023 Turkey-Syria earthquake, the 2023 Sudan conflict escalation, and the 2023 Libya floods.

MEASUREMENT FRAMEWORK

InterAction

Developed the Gender-Based Violence Prevention Evaluation Framework (and Companion Guide), funded by SIDA. The framework helps organisations measure GBV prevention outcomes in humanitarian settings worldwide.