Impact modelling
Impact modelling
Impact modelling brings quantitative rigour to project evaluation, giving funders and delivery teams numeric estimates of benefits and returns.
Impact modelling brings quantitative rigour to project evaluation, giving funders and delivery teams numeric estimates of benefits and returns.
At Scarlatti we employ a holistic approach, blending quantitative rigor with qualitative insights.
Our experience includes evaluation of training programmes, extension networks and talent attraction programmes.
We use our networks to draw on expertise and gain insight from industry or client-held data.
Our team are experts at leveraging the Stats NZ Integrated Data Infrastructure (IDI) database to extract and interpret trends in national or regional government data to evaluate project impact.
Forecasts changes in capability and motivation, practices, and outcomes that result from interventions
Provides quantitative estimates of the value of interventions
Puts equivalent utility values on non-monetary outcomes, such as environmental or social benefits
Highlights where adaptations to intervention design could improve outcomes.
Quantitative rigour
“Impact modelling can overcome three big challenges seen with traditional evaluation methods; high costs of evaluation activities, attributing outcomes to particular activities, and the time required to measure outcome changes.”
Vaughan Wilson
Scarlatti Project Manager
“Impact modelling adds rigour to our other service areas such as programme design, and monitoring and evaluation with quantitative insight and analytics.”
Vaughan Wilson
Scarlatti Project Manager
“Impact modelling is not only about getting insights into the future; but seeing the impacts of current activities and attributing activities to change.”
Vaughan Wilson
Scarlatti Project Manager
Extension teams are made up of awesome people trying to do amazing things, but how do we measure the impact of the work these teams are doing?
We develop logic models to describe how interventions work and add a quantitative overlay to arrive at quantitative estimates of their impact.
Using the Stats NZ Integrated Data Infrastructure database (IDI), we can evaluate whether a programme is effective in driving its participants’ practice change.
Using data and models, we use proprietary models to quantify the return on investment from training for employers both individually and collectively as a sector.
Contact Scarlatti’s Impact Modelling Lead Vaughan Wilson to discuss your needs.
