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Week 11 Insights

Our team has edited the CPC interface, based on feedback from last week, and we created the CG interface. This week, we received our first round of feedback on the CG feedback. Both the CPC and CG interfaces are aesthetically appealing, but we need to hone in on what visuals are needed and not needed. For the CG interfaces, we need to identify whether comparing their cohorts’ performance with other CG’s cohorts’ performance and the must-have information they need to see quickly. For the CPC interfaces, we now allow soldier performance to be viewed by class and cohort which has been well-received.





Primary Data Users

  1. Cognitive Performance Coaches
  2. Data Analysts
  3. Research Psychologist

Other Beneficiaries

  1. Instructors (Cadre)
  2. SWCS Commander






Phil Williams | CEO of Phil Williams LLC

  • Agrees that organizing by classes provides a better picture than cohorts b/c people who drop out of certain cohorts and then are categorized to a different cohort
  • For the normal distribution chart, Phil is interested in the specific characteristics that differentiate the top 5% v. the top 50% and lowest 5%?
  • “Cohort Comparison Chart” could include – how do my cohorts compare w/ CG John M, CG X, CG Y? This provides a comparison to CG’s how they are doing to past CG’s
Bruce MacDowell Maggs | Professor of Duke Computer Science


  • DARPA is interested in blockchain for storing soldier demographic information
  • DARPA wants additional research or case studies of how blockchain could work to store information and has convened blockchain researchers to learn more
Michael Jelen | Berkeley Research Group


  • Try combining the macro and micro-level data so that only the most important information is present.
Adam Beauregard | United States Navy


  • Everything looks fine.
  • Doubtful that the team CPC will go through 12 pages of graphs. Pick out the most important ones.
  • Consider making a dashboard.
Mitch Heath | CEO at Teamworks


  • Try figuring out which graphs are the most important.
  • Everything seems aesthetically good.
  • Try also to find filtered categories.
  • Willing to invite people to the location to meet the team.
  • Wants us to send info about H4D demo day on April 18th.
Joe Blanton | Colonel United States Army


  • The ability for the platform to tailor to the preference of different commander is very important
  • Present the so-what and the purpose before explaining the why; assuming a busy and inpatient commander only has less than a minute of time
  • An algorithm that take in key indicator to show the changes of weekly key result
  • Have evidence and data to back-up what is the drive of attrition
  • Regression and projection would help a lot
Anubhav Mehrotra | VP of Product Management at Live Nation

Factors used to test level of engagement and emotion change:

  • Galvanic skin response
  • Position shift in alpha brainwave
  • Movement synchrony
Lieutenant Colonel Thomas Academic Instruction Director | SWEG


  • Agrees that trainees don’t need access. Reports can be generated for them
  • Make sure our efforts are coordinated with Oscar
  • Still concerns over data storage





  1. Classes, rather than cohorts, are a better way to categorize soldier performance due to the soldier drop out from cohorts.
  2. CG’s may be interested in having more options – filtering out by certain soldier/cohorts or comparing their performance to other CG’s.
  3. We still need to drill in on what specific graphs are useful for CPC and start taking out or having the option to filter out the less useful ones.





  1. We need to talk to cadre’s, but there has been pushback on why speaking to cadre’s is relevant to our problem.
  2. Instead of guessing what the CG wants, we need to interview a CG to truly tailor the platform to his/her needs.
  3. We would like to understand better whether the CG wants more data on the selection or training aspects of the high attrition rate.





  1. We have scheduled a meeting to speak with Commander Rice which will help us understand the 1) type of data 2) amount of data 3) types of insights that would be most useful for higher ups.
  2. We do not want students to have access to our platform as, from interviews, the CPC’s can work individually with students and show them the platform during meetings.
  3. If we cannot interview cadre’s within the next week, then we need to remove them as a beneficiary. We will continue reaching out to the contact our problem sponsor has provided to get interviews with cadre.


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