We utilized our 10 interviews this week to accomplish two main goals: (1) collect feedback on our software prototype, a data management and visualization platform (2) validate our hypothesis that having a data management platform that enables our beneficiaries to visualize the output would help them to make data-driven decisions. Betty spent her weekend on prototyping and delivered an interactive prototype. The team walked through the prototype with project sponsor Lieutenant Colonel Thomas and interviewed key beneficiaries such as HDP director Jim, research psychologist Oscar, and Constance and Alexandra from the data team. We have received both positive and constructive feedback from interviews. These valuable feedback provide us with a much clearer idea on what kind of function and product feature they want and in what direction shall we further develop the prototype.
Primary Data Users
- Cognitive Performance Coaches
- Data Analysts
- Research Psychologist
- Instructors (Cadre)
- SWIC Commander
- INTERVIEWS & KEY TAKEAWAYS
|Lieutenant Colonel Thomas Academic Instruction Director | SWEG
|Oscar Gonzalez Research Psychologist | SWEG
|Constance Garcia Data Manager
|Major Mike Williams Special Operations Command Officer
-”the average soldier can do 65 pushups per minute” -> here’s a regime on how you can get to the average pushup
|Dr. Greg Dale Sport Psychologist & Leadership Director | Duke
|Daniel Gajewski Performance Integrator
|Trevor O’brien Information Technology
| Rick Dietrich SOCEP Director
| Alexander Hanson Data Analyst
|Jim Arp HDP Director
- KEY INSIGHTS
- The main users of the software product is the data team and the research psychologist
- Excel is the current data analysis tool. SPSS is only on one standalone Mac that is not connected to the internet. Few complex analysis has been done
- Interviewees all like the design of the current prototype but would like to see more personalized page with differentiated product feature for each beneficiary E.g. the home page for CPC and data team would be different since CPC mainly want to see the result in a better data visualization form to facilitate their training while data team want to run actual analysis
- Time series analysis is the most important analysis they want to have on the prototype so that they could see changes over time
- While being able to run statistical analysis on our product would be a big plus, beneficiary want us to position it as a data storage/management tool
- The bottom line is the ROI: they are investing money and want to know how money is creating results)
- Being able to answer the following four questions from our prototype would be the key:
- What is the exercise that provides the biggest performance increase?
- What is the performance machine/training/process that creates the biggest change?
- Who are the people that have the biggest change and smallest change?
- When do people start showing performance training over time?
- KEY PROBLEMS
- The biggest problem is how will we get the data from the hardware that we used as inputs for the software prototype
- All current devices have bluetooth and they could transmit the data to the computers if connected to internet
- But none of the current devices are connected to internet and there is little we could do about it
- Given the time constraints and skills available to the team, we think the best way to tackle this complex problem and to deliver a prototype that could solve both the input and the output problem is to leverage existing commercial solution for the hardware and focus on software prototyping to create a data management and visualization platform. Nevertheless the premise is these device are connected to the internet.
- The process of getting both software and hardware approved is very complicated and could take 6 month or even more.
- This is still true: that the structure and procedure for data collection, analysis, and storage is changing week to week within HDP. Week to week, we learn of new developments in many of our beneficiaries’ roles as it relates to data analysis, connection, and storage.
- The prototype could proceed to different directions and the feedback we received from interviewees compose a wide range of product feature requests and also has some conflicting information.
- This is still true: We do not have the devices with us so it is difficult to test our hardware MVP.
- KEY DECISIONS
- We need to validate the possibility of having current existing devices connected to internet since they would change the way how we shall approach the problem
- The solution has to be a hardware + software product to solves both the input and the output problem
- While we are figuring out the hardware part, we should continue refining the software prototype
- We will commit to do more research on other commercial offering and how compatible that would be with HDP devices
- We will continue to commit to identifying companies that are willing to send new devices and data specs so that we more easily gauge the feasibility of creating a device from scratch