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Usage and experimentation data are an essential resource to guide investments. This data is most effective at improving products for *existing* users but may do little to increase customer diversity and inclusion of nonusers, marginalized, and underrepresented populations.

Takeaways:
– Experimentation may be a false prophet: we love A/B experiments but it might not be what you need
– Data bias: remember *who* your data is coming from
– Customer Diversity & Inclusion: your product may impact the diversity and inclusion of your customers
– Growth by engaging non-traditional users: increasing participation by nonparticipants could be a great way to drive growth

Meet the Speaker: Chewy Chong

Chewy is a seasoned Product professional and a thought leader with extensive experience in the Computer Software industry. He has spent over 13 years at Microsoft, leading the company’s efforts while holding various senior management positions.

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