Industry · 09
Survey-weighted analysis and reporting for policy and programme teams — affordability, coverage, outcomes and the limitations behind each measure.
Public-sector analytics has to survive a different kind of scrutiny: small samples, survey weights, budget cycles and audiences who are entitled to see the method, not just the number.
We work with survey and administrative data — affordability, coverage, service demand and programme outcomes — and state the uncertainty and limitations behind each measure. Where a dataset cannot support a conclusion, we say so before the decision is made.
2 projects
Public Sector
Station-level daily entries since 2001, a structural break in demand and a planning calendar to rebuild — separating real recovery from station closures, day-type effects and reporting gaps.
View projectPublic Sector
How a housing policy team replaced competing affordability figures with one weighted, comparable measure — and a view of who is burdened inside each city, not just which city ranks worst.
View projectFocus on your business; let us back you up with data support