Description: As product development professionals, we know that getting customer feedback is a key component of the product development process. If crafted carefully, these sessions can uncover true unmet needs, unlock the next product innovation, and create market share gains, all while creating something that contributes to society. As quoted during one of our last focus groups, “Magic stuff happens here.” When designing your research, are you doing all that you can to promote inclusive thinking? By focusing on the design of your study—through overall theme and by paying attention to the details in the process—you can uncover new perspectives that you may not have considered, if not for being deliberate in your actions. Instead of just avoiding structures that create biases, we need to actively incorporate inclusivity. Our team performed a study titled “Designing Solutions to Empower Women,” which focused on women’s viewpoints and how those could be incorporated into life insurance product development. I would love to share some of my experiences and tips collected along the way.

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.

Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Join us in this webinar where we explore the intricate relationship between Professional Employer Organizations (PEOs) and insurance, diving into the art of risk management within this industry. Gain a comprehensive understanding of the diverse insurance products offered by PEOs, the positioning of PEOs in the actuarial landscape, and the strategic navigation of regulatory challenges.

Description: Subtitle: My real-life connection to (almost) every supplemental product Data is king, but maybe it should be dethroned once in a while so we can better understand the "why" behind the data.