Statistics • Discovery • Evidence • Policy
We design surveys, build composite indices, and turn raw data into numbers whose methodology can be opened, checked, and reproduced.
Five capabilities that are usually commissioned together, but each stands on its own.
Sampling frames, allocation, and instruments that survive being argued about.
ServicesFrom raw data to estimates and their uncertainty, with the computation left open.
ServicesCollapsing many indicators into one number without hiding the choices behind it.
ServicesInterfaces that make numbers usable by the person deciding, not just by the analyst.
ServicesProgramme progress, budget realisation, and agency performance in one view that leadership reads — rather than one assembled the night before a meeting.
ServicesMethodology should not stop at the report. We run it as a system that keeps working.
A regional analytics and data integration hub: development programmes, public finance, and agency performance in one view.
HTML · Chart.js · ApexCharts · Leaflet
Holistic, Adaptive, Monitoring, Integrative Dashboard — an analytical workspace for tracking regional programmes and budgets.
HTML · Leaflet · Chart.js
Computation and visualisation of a business competition index across survey data from 38 provinces.
Next.js · FastAPI · PostgreSQL · Docker
An atlas of sector structure and competitiveness analysis across Indonesia.
HTML · D3 · Nginx · Docker
Structured field data collection, from form design through quality control.
ODK · PostgreSQL · Docker
The honest way to judge a research team is to read what it has produced.
Built a regional performance monitoring framework once, then deployed it in two districts with different sector structures and priorities: PERSADA in Madiun and HAMID RAUNG in Bondowoso.
Built a national composite index from a cross-province survey, then moved the whole computation off spreadsheets and onto a platform that can be re-run every cycle.
Every engagement goes through the same four stages. No stage gets dropped because of a deadline.
Establish which decision is waiting on the result, and which number is actually needed to make it. This stage routinely cuts the initial scope in half.
Sampling design, indicator definitions, and the analysis plan are written and agreed first. Once the data is in, the method can no longer be chosen neutrally.
Computation runs as reproducible code, cross-checked against an independent source, and stress-tested against the assumptions doing the most work.
Results are handed over in a form your team can run: methodology documentation, the code, and where warranted the platform that runs it.
Tell us the context. If the question is not sharp yet, sharpening it is the first part of the work.
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