Validated Demand Forecasting Models

Format Analytics demand forecasting models are fueled by primary survey research. Survey respondents can include end users/patients, public sector healthcare providers, private sector healthcare providers, and other relevant stakeholders. Respondents evaluate product profiles and state their usage intent by answering standardized questions. Importantly, the demand models employ validated algorithms to correct for the overstatement of usage intent that is inherent in all survey research. This enables the models to accurately predict true demand.

Interactive Demand Simulators

Forecasts can be delivered in the form of interactive simulators, which allow you to vary important demand factors such as product features, launch year, and levels of market access. While these simulators are elegant and easy to use, they also deliver massive forecasting power, generating custom demand simulations across geographies and market scenarios.

Unmatched Data Quality Control

Forecasts are only as accurate as the data that fuels them. With this in mind, Format Analytics employs rigorous data quality control. When in-person research is conducted, audio recordings of survey questions and responses are conducted at several points during the respondent interview. These recordings are translated and scrutinized for reliability and accuracy. Analysts review and clean data sets to ensure that pristine final data is used in the demand models.

Global Capabilities

Format Analytics partners with local fieldwork agencies to conduct survey research in geographies around the world, including low, lower-middle, upper-middle, and high-income countries.  By working together with research experts in each country, we maximize local knowledge among those researchers who best understand the conditions in their own part of the world. Central oversight from Format Analytics combined with local expertise in each country yields the ideal combination of standardization and customization throughout the research process.