ProductDNA 2018 - SOLD OUT

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ProductDNA was started a few years ago to promote Product thinking at Target, and while still primarily an internal conference, a select few organizations will be invited to participate.

This year's theme is Product United: Breaking Down Silos.

We'll explore a variety of topics that can either unite or separate us and divide them across several tracks: Team, Customer, Outcomes, Culture, and Engineering.

Speakers Include*:
  • Jeff Patton, Product Discovery Coach and author of User Story Mapping
  • Jennifer Hayes, Sr Manager, Interaction Design, RBC
  • Nate Walkingshaw, CXO of Pluralsight
  • Archie Miller, Product Discovery Coach, Carmax
  • Amanda Richardson – Chief Data and Strategy Officer, Hotel Tonight
  • Sue Anderson - Director, Voice of Customer, PTC
  • Felipe Castro - OKR Consultant
  • Cathy Hawley - SVP, Performance, Return Path
  • John Mulligan - COO, Target
  • Jen Flashman - Sr Data Analyst, Tinder
  • Kevin Sakamoto - Product Director, ADP
  • Cartier Gwin - Copy Editor, Microsoft

Who is this for?

  • Primary Audience: Anyone that is on a Product Team at Target
  • Secondary Audience: Anyone that partners with a Product Team at Target
  • External Audience: This year's conference will once again be opened to a small group of external participants

How can I get an invite?

Sorry, but this event is currently sold out.

Who can I contact for questions and more information?

Send an email to Product.Management@target.com

*All Speakers Subject to Change

event details

date and time

Thursday, June 21, 2018 8:00 AM – 5:00 PM CDT

price

$200.00 + eventbrite fee

location

Target Northern Campus 7000 Target Parkway Brooklyn Park, MN 55445

sample topics

  • Designing and Delivering in a Distributed Environment
  • Diversity (of Thought)
  • User Research
  • Metrics
  • OKRs
  • Story Telling
  • Psychological Safety
  • Target's Tech Platform
  • The Interaction of UX and Product
  • Critical Aspects of a "Product Culture"
  • The Interplay of Features and Copy
  • Data Driven Product Decisions
  • and much more...