Predicting Sentiment: Q&A with Neil Seeman, CEO, RIWI

Neil Seeman, CEO of global survey technology corp RIWI, joined The Association 100 to discuss how predictive public sentiment data of underrepresented or unengaged groups is key for understanding future outcomes.

RIWI, which stands for Realtime, Interactive, Worldwide Intelligence, uses randomness and diversity of population groups to make the most accurate predictions possible – in ways that traditional polling cannot. Up to 60% of RIWI’s responses are from everyday people who have never answered a survey before.

Seeman shares insight on how associations can use random sentiment data for any number of campaigns, including membership satisfaction surveys and hypothesis testing.

– Jennifer Curley, President and CEO, Curley Company