InTask, Inc. provides innovative market research software that delivers deep insights into physician decision-making and behavior. Through its unique and engaging simulation environment, the company’s inaugural simulation platform, InTaskTM, overcomes many of the limitations of current survey methodologies while enabling new solutions to some of the industry’s most difficult research problems.
The InTaskTM simulation platform engages physicians in the management of virtual patients. Every action taken by physicians in the course of diagnosing, treating, and managing these patients is recorded—over multiple patient visits in virtual time. The result is rich, longitudinal patient treatment data that can be used to drive insights into treatment algorithms as well as drivers of physician decision-making. Flexible choice architecture allows the InTask platform to simulate and assess the impact of environmental scenarios such as the availability of new products, changes in access, and exposure to promotional messages.
From the respondent perspective, the InTask simulation platform has proven to be more engaging and interesting than traditional questionnaires. The simulation mimics real-world activities in a way that makes sense to physicians and stimulates their best thinking. Proven in both qualitative and quantitative applications, InTask stands ready to help agencies and clients alike generate better insights from market research studies.
InTask, Inc.
24 Headquarters Plaza
North Tower, 7th Floor
Morristown, NJ 07960
973-536-0950
intask.com
LinkedIn: http://bit.ly/2grb2y1
Leadership:
Greg Chu
Chief Operating Officer
New Business Contact:
Greg Chu
greg@intask.com
973-536-0950
What Makes Us Innovative:
Inspired in part by core principles of game design and behavioral economics, the InTaskTM market research software platform makes simulation a practical tool that can address many of the shortcomings of our current research methods, drive better engagement with the research process, and deliver deeper insights into physician decision-making. It opens up new possibilities for cost-effective experimentation in commercial analytics as well as the generation of “smart” big data—designed from the start to address critical information needs.
