How do we know if a program or a treatment we implement really works? Well, we get to measure it rigorously. Combining experimental design and statistical analysis, we at Meta Lab develop customized frameworks to conduct different types of impact analysis such as A/B testing, program evaluation, and impact evaluation.
We can see the applications of impact analysis, for example, to evaluate :
- whether a new marketing strategy improves sales significantly
- whether a new health program improve the health of the community significantly
- whether a new medicine improve the health outcome of the patient significantly
- whether a new policy implementation results in a desired outcome significantly
and many more.