Jon Cohen, a representative from Survey Monkey, harnesses the influence of Silicon Valley in the realm of polling
In the latest episode of the weekly podcast, "Politics. Policy. Polling. Pop Culture," hosts Margie Omero (Democrat) and Kristen Soltis Anderson (Republican) welcomed Jon Cohen, a prominent figure from SurveyMonkey, to discuss the future of polling and the role of technology in shaping public opinion research.
The discussion centred around leveraging tech innovations for polling, with a focus on integrating Silicon Valley methodologies with traditional polling. SurveyMonkey, as Cohen explained, is utilising AI-assisted survey creation, such as AI-generated questions and advanced survey logic, to simplify the polling process and improve data quality.
Modern communication channels like WhatsApp are also being employed for survey distribution, enhancing reach and engagement. Furthermore, SurveyMonkey provides automated data summaries to help users quickly interpret results. These technologies, combined with integrations with popular productivity tools like Salesforce, HubSpot, and Slack, enable more efficient and insightful audience research and polling.
The episode also addressed sample quality and response rates in modern polling using advanced analytics. The hosts and their guest explored how computational power and big data can reshape public opinion research, with a particular emphasis on ensuring more accurate and inclusive data collection.
While the episode did not delve into specific details about the innovations or technologies mentioned, it did touch upon related topics such as "Exploring Different Polling Rates," "Deciphering Bayesian Statistics," "Melding Probability and Statistics," and "The Impact of Nielsen Surveys."
Recent posts on the podcast include "Polling Insights from University of Massachusetts Lowell," "Western New England University Polls," and "University of New Hampshire Polls." However, the episode did not discuss Kristen's coverage of the conventions in detail.
The podcast occasionally interviews pollsters, journalists, and other industry leaders, providing insights into the public's mind by analysing polls around the country. It's a must-listen for those interested in staying informed about the numbers driving the week's biggest stories in news, politics, tech, entertainment, and pop culture.
[1] Source: SurveyMonkey's official website.
- politics, podcast: The latest episode of "Politics. Policy. Polling. Pop Culture" featured a conversation with Jon Cohen from SurveyMonkey about the future of polling and the influence of technology on public opinion research.
- data, technology, politics: SurveyMonkey employs AI-assisted survey creation, channels like WhatsApp, and integrations with productivity tools to streamline and enhance polling and audience research.
- polling, research, analytics: The discussion touched on technological innovations in polling, the use of big data, and improving sample quality and response rates through advanced analytics.
- news, podcast: The podcast provides insights into the public's viewpoint, covering a wide range of topics, including news, politics, tech, entertainment, and pop culture.
- politics, media, podcast: The podcast interviews pollsters, journalists, and industry leaders to shed light on the data driving the week's biggest stories in various sectors.
- statistics, polling: Topics such as "Exploring Different Polling Rates," "Deciphering Bayesian Statistics," and "The Impact of Nielsen Surveys" were briefly mentioned in the latest episode.
- polling, universities, podcast: Recents posts on the podcast have included interviews with pollsters from University of Massachusetts Lowell, Western New England University, and University of New Hampshire.
- politics, general-news: Stay informed about the numbers shaping the week's top stories in news, politics, tech, entertainment, and pop culture by listening to the podcast.
- insights, polling, SurveyMonkey: As explained by Jon Cohen on the podcast, SurveyMonkey has adopted AI-generated questions, advanced survey logic, and big data for accurate and inclusive data collection in public opinion research.
