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Deriving Product Insights From Data Analytics

  • Mode Analytics - San Francisco, CA 208 Utah St #400, San Francisco, CA 94103 USA (map)

Advancing Women in Product (AWIP) and Mode Analytics present an immersive seminar and workshop to help all product managers and product-minded techies to build products that your customers will love using again and again! We’ll explore what makes certain products so behavior-forming, as well as how to collect data from customers to validate product assumptions. We will be featuring a panel of product leaders from Mode, Google, and Mixpanel to share their best practices and tips - and allow YOU the audience to participate in a structured discussion around a hypothetical product analytics use case. Whether you’re a PM in B2C, B2B, or interested in learning more about what it takes to be a PM - this workshop is for you!


PANELISTS

JENNY H. LI, PRODUCT MANAGER AT MIXPANEL

Jenny is a growth product lead with a track record of developing data-driven and innovative products to supercharge engagement and performance. Background in consumer, mobile, marketplaces, gaming, monetization, and enterprise. Passionate about unlocking growth across a range of products and companies both big and small.

SIMON TAN, MOBILE/ENTERPRISE PRODUCT MANAGER AT DROPBOX

Simon Tan is a seasoned product manager with experience building enterprise SaaS solutions, specializing in mobile apps and developing platform ecosystems. Currently at Dropbox, but has also worked at Box, Atlassian, and Microsoft - in places as diverse as Seattle, Sydney, and Ho Chi Minh City. Simon earned both B.S. and M.S. degrees in Computer Science from UC Berkeley.

NISHI PATEL, PRODUCT MANAGER AT MODE

Nishi is a product manager at Mode Analytics. In her tenure as a PM, she's worked on product teams in a wide range of industries and technologies from HR Tech to IoT in both B2B SaaS and Direct-to-consumer brands. She’s passionate about building products that can delight users and building and iterating on processes that help companies scale.

AGENDA

6:00 - 6:30 pm: Registration & AWIP Welcome

6:30 - 7:15 pm: Panel Discussion

7:15 - 7:45 pm: Analytics Case Study + Q&A

7:30 - 8:00 pm: Networking & Close