Blending Data & Design with Quantified Experience Design
Sponsored workshop – Half day (4h) | Feb 5 – 9am | McKinsey Design 1420 Fifth Avenue Suite 4300 Seattle, WA 98101
We all know that data is an intrinsic part of our lives. The volume, velocity and variety of data is infinite. At McKinsey Design, we discovered that companies can use their data to transform their customer experience and deliver better products and business impact by combining advanced analytics with experience design. We’ve coined this big-data-driven design process, Quantified Experience Design (QED), which explores solutions from a qualitative and quantitative standpoint and uses machine learning algorithms to scale, identify and measure opportunities. How can we use data to optimize every decision in the design process and to identify the right, innovative opportunities? Building on the QED methods learned in this session, you will respond to a real problem and create a roadmap to learn how to prioritize specific customer journeys and how to zero in on the interactions, features and opportunities that will benefit the customer and the business in hopes of bringing change and new solutions to market.
Jennifer is Digital Partner in the New York Office of McKinsey & Company and a leader in our global design practice. She brings a deep background in user-centered design and continues to help clients work through design choices from defining user profiles and capturing their needs to initial concept testing through to launch and refinement of new experiences. Her past creative leadership roles include Facebook, Frog Design, Apple and others. She built global product and design teams in companies and integrated design plus strategy groups in consultancies and directed initiatives across healthcare companies and many other Fortune 500 companies, startups and non-profit organizations. Jennifer has worked with organizations and people all over the world to drive innovation, create products, services, environments and ecosystems with impact as well as the behavioral change to support it.