Sun.Sep 18, 2022

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Turning Trial Users Into Successful Customers

Speaker: Daniel Foster, Strategy Lead, TechSmith & Vic DeMarines, VP of Product Management, Revenera

TechSmith’s Snagit Strategy Lead, Daniel Foster, will share how he leveraged product usage data, segmentation, and targeted onboarding messaging to improve trial users’ experiences. He will discuss his experimentation with onboarding communications to lift trial conversions and cover: Developing a strategy around hypotheses to test.

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Process, Product, and Profitability: Everything You Need to Know

Speaker: Michael Cardy - Red Hat Chief Strategist, Jason Tanner - CEO of Applied Frameworks, and Mike Mace - VP of Market Strategy at UserTesting

Companies have accomplished this through usability testing and real-time qualitative feedback from customers. However, most businesses struggle with formidable user testing and feedback processes. Empowering product managers to drive decisions. Multi-channel experiences and product growth.

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Building a Culture of Experimentation: Using Continuous Development for Faster & Safer Product Releases

Nowadays, tech teams are adopting certain processes to enable them to deliver better products faster. Continuous development takes things further by giving product teams more autonomy and freedom to test out their ideas and experiment with new features in production by choosing who they want to test on.

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Product Management & The 3 E’s: Experiments, Experiences, and Efficiencies

Speaker: Nicole Munson, Senior Product Manager at American Express

Every product manager labors over creating the perfect customer experience. Whether that’s an ineffective design, a confusingly placed button, or how difficult it is to log into your favorite site, mastering the obstacles to creating a frictionless product is a science. At the heart of this science is experimentation.

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How To Design Your Next Roadmap with Data-Driven Pit Stops Masterclass

Speaker: Sonia Singhal, Product Manager at eBay

These days, a simple A/B test can seem to incorporate the whole alphabet, and making a decision from that data isn't as easy as A, B, C either. How do we know we are testing the right thing? How can we shorten the time it takes to do the tests while gaining larger amounts of data? A Live/On-Demand Masterclass.