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Our approach

Integrated, participatory, evidence-based.

Our approach combines strategic analysis, field data, digital technologies, GIS and collective learning — from the initial framing to the decision.

4 steps from data to decisionFraming · Collection · Analysis · Reporting
Three principles

An approach that produces useful evidence.

Three requirements guide every assignment, from the first framing workshop to the final validation of results.

01

Integrated

We combine strategic analysis, field data, digital technologies and GIS within a single chain, from diagnosis to decision.

02

Participatory

We co-construct results with stakeholders and validate findings in a participatory way, for appropriate recommendations.

03

Evidence-based

We triangulate quantitative, qualitative and spatial data to produce robust, nuanced findings that are useful for decision-making.

The method, step by step

From raw data to a useful decision.

Four steps that follow on from one another, each producing usable and traceable deliverables.

01

Framing & diagnosis

We clarify expectations, carry out a systemic reading of the context, reconstruct the intervention logic and identify the key questions for decision-making.

// theory of change · logical framework
Framing noteEvaluation questionsMatrix
02

Digital & geospatial collection

We use Kobo, ODK, GPS, surveys, interviews, focus groups and secondary data to produce reliable and traceable information.

// Kobo · ODK · GPS · PostGIS
Collection toolsDatabaseGeoreferenced data
03

Analysis & triangulation

We cross quantitative, qualitative and spatial data — statistical, narrative and spatial triangulation — for robust and nuanced findings.

// SPSS · R · QGIS · Power BI
FindingsAnalysesVisualizations
04

Reporting & learning

We transform results into actionable recommendations, dashboards, maps and strategic briefs, co-constructed and validated in a participatory way.

// dashboards · maps · learning
Final reportDashboardsLearning products
Standards & criteria

Evaluations aligned with international standards.

We apply the OECD-DAC evaluation criteria and mixed methods, with data quality assurance at every step.

01 Relevance02 Coherence03 Effectiveness04 Efficiency05 Impact06 SustainabilityMixed methodsTriangulationDQA — data quality
Data collection and field work in the SahelMeasure · Learn · Innovate

Let's put our method to work for your next decision.

Evaluation, MEL system, mapping or training: let's discuss your context. EvalTech Africa — Dakar, Senegal.

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