Get the data you need — when you need it — to drive better decisions.
We build robust measurement systems that help organisations capture the right indicators, monitor progress in real time and understand how change happens on the ground.
What we do:
- Design indicators that matter: We develop clear, purpose-built indicators that reflect real behavioural change, operational performance and social outcomes. Whether working with existing frameworks or building new ones, we help organisations measure what is meaningful—not just what is easy to collect.
- Build reliable data pipelines: From administrative systems to digital touchpoints and field surveys, we design integrated, secure data flows that ensure completeness, consistency, privacy and traceability. Our solutions span automated dashboards, real-time monitoring, and user-friendly reporting tools tailored to frontline teams.
- Develop rigorous measurement frameworks: We translate organisational goals into measurable constructs, linking inputs, activities, outputs and outcomes. Our frameworks incorporate behavioural diagnostics, risk indicators, implementation fidelity measures and distribution-sensitive metrics—ensuring decision-makers have the full picture.
- Ensure data quality and integrity: Using statistical validation, audit checks and protocol design, we help clients minimise bias, missingness, and noise. We implement systems to standardise definitions, harmonise datasets and strengthen measurement reliability across teams, geographies and time.
- Illuminate causal drivers of value: We turn data into causal, economically interpretable measures. Using quasi‑experimental identification and structural diagnostics, we separate impact from trend and noise, estimate marginal effects and elasticities, and build leading indicators and nowcasts. We quantify heterogeneity and spillovers, translate effects into cost‑effectiveness and welfare‑relevant metrics, and pinpoint binding constraints.
Methods we draw on:
- Indicator design aligned with behavioural and economic theory
- Monitoring & Results Frameworks (RFs), ToC-linked metrics, KPIs
- Data pipeline engineering and system integration
- Survey design, digital trace analytics
- Administrative data optimisation and database structuring
- Real-time monitoring systems and dashboarding
- Quality assurance protocols and reproducible analytics workflows
Who it’s for:
Public administrations, EU-funded projects, development programmes, NGOs, social enterprises and private-sector organisations seeking transparent, reliable and credible measurement systems.
What our clients receive:
- Fit-for-purpose measurement frameworks aligned to policy or programme goals
- Clear indicators that translate strategy into trackable metrics
- Automated monitoring systems and dashboards for real-time insight
- High-quality datasets ready for analysis and evaluation
- Data quality assurance protocols and documentation
- Practical guidance for teams on data collection, reporting and continuous learning