Understanding what customer data media companies need to uncover to make informed decisions that lead to products customers love
Interrogating data to make informed product decisions
Gathering valid qualitative product feedback
Personalising products for customers
How can publishers make the best product decisions from customer data?
Making the end-to-end customer experience outstanding is product’s main role. Product is built around solving for user needs and wants, and the first step in any product process is to define a user problem. This is especially true at media companies.
As news organisations bring customers to the core of their business, understanding their behaviour is critical. From this data, publisher can identify opportunities, and current blockers, so customers can access and experience our journalism in the most rewarding way possible.
This Master Class will shed light on how to work with customers to seek out what they really want, how they want it, and how to use this data to prioritise your road map to move the needle closer to your business objectives.
Speakers
Ariane Bernardn
Smart Data Initiative Lead
INMA
Gregg Bernstein
User Research Lead
Condé Nast
Riske Betten
Product Director
Mediahuis Nederland
Brian Butts
Senior Director, Product Management
Gannett | USA Today Network
Khalil A. Cassimally
Audience Project Manager
The Conversation
Hillary Frey
Creator in Residence
CUNY
Jessica Parker Gilbert
Former Senior Director, Product and Experience
McClatchy
Emily Goligoski
Executive Director, Audience Research
The Atlantic
Julie Lungren
Chief Product and Strategy Officer
NHST Media Group
Don Matheson
Head of Audience Data Products
Yahoo! (USA)
Silke Mohnsame
Inhouse Consulting
NWZ
Greg Piechota
Readers First Initiative Lead
INMA
James Webb
Product Director
Financial Times
Nico Wilfer
Chief Product Officer
Frankfurter Allgemeine Zeitung
Curated by
Jodie Hopperton
Product Initiative LeadInternational News Media Association (INMA)
Topics
Gathering product feedback: what to ask and how to ask it
Using data to identify behaviour patterns
Building for audience segments: developing cohorts
Determining what customers say they want vs. what they actually want
Figuring out what customer problems we should be solving for
Using data to verify hypotheses around customer needs
How to effectively test new products and features with users
Gathering product feedback: what to ask and how to ask it
Using data to identify behaviour patterns
Building for audience segments: developing cohorts
Determining what customers say they want vs. what they actually want
Figuring out what customer problems we should be solving for
Using data to verify hypotheses around customer needs
How to effectively test new products and features with users