Have you ever been at work and felt like eight hours was way too much time to be mulling around when the day’s task at hand should only take about two? Well, Kishau Rogers is disrupting the time management industry with Time Study, an enterprise-level solution for time tracking.
Time Study uses machine learning, mobile technology, and passive data signals to automatically provide insights to key stakeholders regarding how time is spent, without the use of timesheets and manual methods of time tracking. They are also focusing their efforts on aligning time-spent with impact and real outcomes.
Black Enterprise caught up with Rogers to find out how she came up with the solution and how effective it has been for her clients.
Black Enterprise: How did you come up with this enterprise solution?
Kishau Rogers: I have 24 years of experience building software solutions for enterprise clients in the health and research sector. For the past 14 years as a technology entrepreneur, I’ve had the opportunity to help health organizations use technology to streamline their financial cost reporting. In working closely with these clients, I recognized an opportunity to innovate and disrupt how large businesses “do” time management. I observed the typical time management solutions, the impact of varying data collection and reporting requirements, and the increase in administrative overhead dedicated to managing this data. I also learned that outdated time tracking technology costs the U.S. economy $7.4 billion/day in productivity (50 million hours)*. These outdated methods increase administrative overhead while enabling companies to collect data that is largely inaccurate (40% of working time recalled inaccurately or not reported at all).
Businesses are “groomed” for collecting time sheets. I launched Time Study to eliminate self-reported time sheets and reduce the overhead currently required for enterprise time management. Our platform enables a shift in mindset regarding how corporations report, evaluate, and value work-time. Our product roadmap is designed to gradually move businesses from these old methods to the future of time reporting.
*Data source: https://hbr.org/2015/01/workers-are-bad-at-filling-out-timesheets-and-it-costs-billions-a-day
2. How many companies are currently using the solution?
Time Study launched in 2017. Our product is currently in use in approximately 20 hospitals across the United States. Our clients include notable research health enterprises such as Columbia University Medical Center and Weill Cornell Medicine.
3. How have you seen this help businesses?
Our solution enables our clients to:
- Achieve accurate “time sheets” with as little disruption to a person’s normal workflow as possible, resulting in a reduction of administrative overhead.
- Take structured and instructed data and transform it into insightful reporting that meets the business stakeholder’s requirements for time reporting (a burden that is often shifted to employees).
- Create rich(er) data stores which improve data quality by 90% and recovers 80% of leaked revenues.
- In the health sector, our solution streamlines cost reporting by automatically quantifying time using machine learning, mobile technology, and passive signals from electronic records.
Our current clients have indicated that they enjoy:
- Automated Communication – Our system includes an automated communication system to empower and notify enterprise employees regarding how their time is collected, interpreted, and reported.
- Quick deployment and Flexible Administrative Control – We can deploy an enterprise-level solution in less than one business day; our platform allows us to support a complex number of data collection and business rules without writing a single new line of code.
- Excellent, dedicated customer service – Due to our team’s prior experience supporting enterprise clients, our help desk runs smoothly. Our end-users have five methods to receive support: documentation, videos, on-screen help, open a ticket, and phone. We offer predictable levels of service and are able to quickly triage tickets into three categories: questions, problems, tasks.