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21st Century Frogman
Data Driven Solutions for Navy SEALs
FINALINITIAL
1
Problem: Training injuries
lead to BUD/S inefficiency
and the loss of quality
candidates from the
program
Solution: Predictive
algorithm + dashboard to
display safety risk
Problem: Instructors waste
time recording and entering
data during training
Solution: App that
streamlines real-time data
entry
The Team
And our fantastic Sponsor and Mentors
Andrew Sparks
BS Aero ‘03
MBA ‘18
Subject Matter Expert
Support
Commander DeCoster
Lieutenant Prybella
Sponsor
Paul Dawes
Mentor
Lisa Wallace
Industry Mentor
Colonel Burns
Military Mentor
2
Priyanka Sekhar
BS CS ‘17
MS CS ‘18
Machine Learning
Kelsey Schroeder
BS MCS ‘17
MS MS&E ‘17
Strategy
Gerardo Rendón
BS SYMSYS ‘17
MS MS&E ‘18
Design / Data Mining
Customer Interview Breakdown
3
66 Active Duty Military 31 Military Civilians 28 Industry Experts
125 Total Customer
Interviews
The Emotional Rollercoaster
Highlights
Pre - Coordination Challenges
1 - Spring Break Work
2 - Database Disaster
3 - Problems Everywhere
4 - Trip #1 to NSWCEN
5 - Instructor Surveys
6 - Begin MVP
7 - Product Mission Fit!
8 - Betrayal
9 - Development
10 - Trip #2 to NSWCEN,
deliver prototype to Sponsor 4
Team Emotion Flow Over 10 Weeks
Database and Dataflow Challenges
9 Databases in
use at NSWCEN
5
- NSW employee when asked about
current tools for data analysis
“CTRL-F”
Team assessment: They are CTRL-Fing this entire thing up
6
NSWCEN Visit #1
21st Century Frogman Lessons Learned H4D Stanford 2017
21st Century Frogman Lessons Learned H4D Stanford 2017
21st Century Frogman Lessons Learned H4D Stanford 2017
21st Century Frogman Lessons Learned H4D Stanford 2017
Discovery of Our True Beneficiary
Initial belief
about our
Primary /
Secondary
Beneficiary Leadership Instructor Student Medical N6 KM HP
12
1
2
Injury underreporting….viewed as a sign of Strength
Overall, 50% would view the classmate as Tough/Dedicated 1
3
Tough / Dedicated
Stupid
Same
Weak
Tough / Dedicated
Tough / Dedicated
- Instructor when asked if he would
change training due to heightened risk
of injury
“No.”
1
4
Discovery of Our True Beneficiary
Initial belief
about our
Primary /
Secondary
Beneficiary Leadership Instructor Student Medical N6 KM HP
12XXPivot
Discovery
of the True
Primary /
Secondary
Beneficiary Leadership Instructor Student Medical N6 KM HP
12 1
5
Instructors’ Greatest Pain Points
1
6
YES! If I could capture observations while in the field using an
app… would greatly enhance grading and cadre to student
debrief/counseling.
- 1st Phase Instructor
Fact. A high pain point for me, because I need my instructors
commenting on as much as they observed as possible.
The easier that is, the more they capture.
- 1st Phase Officer
1
7
MVPs Evolve…...Feature-Specific Learnings
- More refined User Interface
- Ability to select recommended
comments or enter free text
- Ability to search by student or
evolution
- Can select multiple students
- Removed positive / negative
comment feature to reduce clicks
- Added audio record feature 1
8
MVPs Evolve…...Feature-Specific Learnings
1
9
Add comment
Report
injury
Internal Readiness Level
Prototype low-fidelity
Minimum Viable
Product
1
2
3
4
5
6
7
8
9
2
0
Deployment Rollercoaster
Product
Mission
Fit!!!
Let’s code!!
Supporter or
Saboteur??
People still use
that??
2
1
We’ll build a
web app!
Deployment roadmap
2
2
Open source and make available
to CLD contract winner
5/19 - Coding Begins
6/2 - NSWCEN Visit #2
Proof of Concept Evaluation
Summer 2017 - Contract
Bids Solicited
Contractors Prep Bids
Fall 2017 - Contract
Awarded
-Reduced data entry
burden: Less time
spent entering data
during/post evolution
-Ease of use: User
friendly U/I, intuitive
note-taking process
-More optimal
utilization of
instructor expertise:
Instructors spend
more time training
students and less
time entering data,
which.
21st Century Frogman: Mission Model Canvas
- UI/UX Design
- Backend database design
- Integration with current
systems and standards
- Earn customer buy-in
- Gather data during alpha
release to enable V2 design
- Produce technical specs
and deliver learnings to
leadership
- Continued sponsorship
by NSWCEN CSO (CAPT
CD), OPS (CDR DD), POC
(LT CP)
- NSW N6 Comms/IT
- NSW N3 Database
Managers
- CLD Manager
H4D Team:
1) Successful U/I proof of concept with placeholder student data
2) App provides groundwork for contracted solution
Primary Beneficiary - 1st Phase BUD/S Instructors:
1) Reduced data entry time during an evolution by 50%
2) Reduced post evolution data entry / synthesizing time by 75%
- Alpha Version of app
used by instructors.
Valuable feedback is
gleaned.
- Company that wins new
CLD contract uses our app
code and integrate into
their solution
- Push to other military
centers with similar needs
Fixed:
- Software design & engineering; software products
- Travel to NSWCEN (paid for by NSWCEN)
Variable:
- Installation and integration; ongoing support
- Software experience
in conjunction with tools
(e.g., Balsamiq, Thunkable)
- Credibility from
reputation of NSW
teammate to aid customer
willingness to try product
- Guidance and expertise
from mentors in industry
and military applications
- Need support from
NSWCEN (allow
implementation) and
customer interviews.
- BUD/S instructors who
have had previously
negative experiences with
GideonSoft app
Beneficiaries
Mission AchievementMission Budget/Costs
Buy-In/Support
Deployment
Value
Proposition
Key Activities
Key Resources
Key Partners
- Primary: 1st Phase
Instructors - difficult
to enter data,
stagnant data,
student injuries, lost
students
- Secondary:
NSWCEN / BTC
Operations Officer -
stagnant data, lost
students, student
injuries, awareness
of “factory floor”
- Other: Students -
injuries, instructors
2
3
Mission Achievement
H4D Team:
1) Successful U/I proof of concept with placeholder student data
2) App provides groundwork for contracted solution
Primary Beneficiary - 1st Phase BUD/S Instructors:
1) Reduced data entry time during an evolution by 50%
2) Reduced post evolution data entry / synthesizing time by 75%
2
4
Beneficiary Mission Achievement
2
5
20.7
(20 secs per unique entry, 2 minutes to
upload, 30 sec to edit 10% of comments)
hours saved per class
94% time reduction per comment
Increase comment frequency
Generate clean data for analysis (beyond CTRL-F) 2
5Higher quality of instruction
9:00 per comment 0:30 per comment
San Francisco Police Academy
250 trainees/year
8 months of training/student
No digital note-taking mechanism
Beyond Naval Special Warfare Center
2
6
Other applications:
Military training centers
(Army Special Forces)
Amateur/professional sports teams
(Palo Alto High School)
Key Learnings
1) Wet and sandy: not a comfortable combination
2) Customer discovery: essential to problem understanding
3) Sponsor support: goes a long way
4) Security/Legal: can be last-minute blockers
5) Defense: large opportunity for impact
2
7
SPECIAL THANKS TO
Dana DeCoster
Chris Prybella
Jay Hennessy
Christian Dunbar
Scott McCallum
Russell Black
Phil Richey
Brandon Barker
Kevin Mangini
Celeste Machado
Anonymous Brownshirt
Steve Blank
Joe Felter
Pete Newell
Steve Weinstein
Melisa Tokmak
Isaac Matthews
Darren Hau
Jared Dunnmon
Lisa Wallace
Paul Dawes
Curtis Burns
2
8
Appendix
2
9
21st Century Frogman:
Value Proposition Canvas
Customer
Jobs
Train Navy
SEALs
Primary Beneficiary:
1st Phase Instructors
Gains
Pains
Gain
Creators
Pain
Relievers
- Reduce manual tasks;
automate tagging of target
activities
Products
& Services
Free text data entry
app for 1st Phase
BUD/S evolutions
- Less time wasted entering
redundant data
- More streamlined data-entry
experience during training
evolutions
- Having to enter all data
twice (field and then office)
- No way to pre-populate
comments on paper
- Reduce data entry burden
for instructors through
automation
3
0
21st Century Frogman:
Value Proposition Canvas
Products
& Services
Free text data entry
app for 1st Phase
BUD/S evolutions
- Reduce data entry burden
for instructors through
automation
Customer
Jobs
Build and deliver high
quality, high character
SEALs to the
community- Feeling of not knowing
what is going on down on
factory floor
- Attrition of “hard” guys
- Sub-optimal utilization of
instructor
expertise
Secondary Beneficiary:
NSWCEN / BTC
Operations Officer
Gains
Pains
Gain
Creators
Pain
Relievers
- Instructors are happy
- Instructors spend less time on
redundant tasks
(organizational efficiency)
- Instructors spend more time
monitoring students, which
could improve safety and
reduce injuries
3
1
21st Century Frogman:
Value Proposition Canvas
Products
& Services
Free text data entry
app for 1st Phase
BUD/S evolutions
- Easier Data entry for
instructors
Customer
Jobs
Survive Training
so they can hunt
bad guys- knees, shoulder, back
- Instructor scrutiny
- cold water
- sand in crevices
- illness, chafing
- sleep
deprivation
Other Beneficiary:
Students
Gains
Pains
Gain
Creators
Pain
Relievers
- Happier Instructors
TBA
3
2
Instructors (BUDS 1st phase) day in the life
3
3
6:00 am - 6:30 am: Get breakfast
6:30 am - 7:00 am: Brief students on what evolution will consist of
7:00 am – 12:00 pm: Take out the boats and do some runs in the ocean with students.
Come back, have students do a PT session, time them and take notes on their
performance. Then teach SEAL skills class.
12:00 pm – 12:45 pm: Lunch
1:00 pm – 3:00 pm: Timed evolution for students; take notes on performance.
3:00 pm – 3:30 pm: Input student performance data on spreadsheets
3:30 pm – 5:00 pm: Oversee student pool exercises
5:30 pm: Finish inputting last minute notes, make final arrangements, leave work
Stay until 8:30 for dinner and another evolution (about two or three times a week).
Customer
Archetype Leadership Instructor Student Medical N6 KM HP
Position CDRE / XO
OPS / CMC
First phase
BUD/S
BUD/S
Candidate
Corpsman,
MD
Comms, IT Knowledge
Management
Contracted
Company
Age - M/F
Rank
36-50 Male
CAPT / CDR /
Master Chief
25-35, Male,
Petty Officer,
Chief
18-30 Male
Seaman,
Petty Officer
25-40 M/F
HM1, HM2,
LT-CDR
20-40 M/F
Petty Officer,
Chief, CIV
25-50 M/F
Contracted
Civilian
30-50 M/F
Civilian
Motivation Safely &
efficiently
produce elite
Navy SEALs
Hold standard
high, safe
training,
supervise
evolutions
Finish BUD/S,
serve country,
be a part of an
elite team
Treat injuries
effectively,
ensure safety
Avoid IT
violations,
keep comms
working
Serve country,
steady 9-5
job, keep boss
happy
Manage
NSWCEN
data, get next
contract
Pains Stagnant Data
High Attrition
Oversight
Inputting data,
unreliable
software
Instructors,
cold water,
sand, injuries
Redundant
data entry,
unreliability
IT violations,
restrictive IT
security
Tasks that are
outside their
scope of work
Competitors,
contracting,
restrictive IT
Gains User friendly
dashboard
User friendly,
automatic
updates
Injury
prevention
Reduced data
entry, less
hurt students
New tech that
is allowed
3
4
User Flow (1st Phase Instructors)
3
5
Record comments
during evolution on
notepad or Notes app
CLD
After evolution, type
comments into Excel
spreadsheet
Email spreadsheet to
CLD contractor (HP)
HP inputs data into
CLD database
Record comments
during evolution on
notepad or Notes app
After evolution, type
comments directly
into CLD
CLD
WhatwethoughtReality
Integration with CLD is a must
~80% (79.2%) of comments fall in
the top 20% of categories
(by frequency of use)
28% of comments fall under
“Other - Negative”
Pareto reigns supreme
3
6
Behavior category # %
Other - Negative 369 28
Demonstrated less than 100 percent effort 133 10
High Performer 115 8.7
Malicious Boat Ducking 99 7.5
Physically weak 94 7.1
Other - Positive 65 4.9
Poor Performance Counseling 64 4.9
Displayed unprofessional behavior 39 3.0
Exemplary performance 32 2.4
Consistently demonstrated leadership 31 2.3
TOTAL 1041 79%
Emerging Vision
Step 1: MVP
Team Frogman Builds
and deploys
Step 2: Integrate with
analytics to provide
attrition stats, medical
drops, real time analytics
on desktop and mobile
Step 3: Wearables for
collecting performance
data in real time. Direct
input to analytics
dashboard.
3
7
Emerging vision
3
8Analytics
Admin data
schedules,
rosters
Performance data
free-text comments,
run/swim times,
incident reports
Emerging vision
3
9
V1 V2 V3
Admin data Daily training schedule Manual Manual Auto
Phase roster Manual Auto Auto
Performance
data
Free-text comments Auto Auto Auto
Incident/injury reports Auto Auto Auto
Run/swim times Manual Manual Auto
Analytics Comment analysis No Yes Yes
Attrition statistics No Yes Yes
Injury pinpointing No Yes Yes
4
0
Emerging
Vision STEP 1 STEP 2 STEP 3
Feature
Summary
GET: Free-text comments,
formatted to compatible
spreadsheet, roster
manually inputted/edited
KEEP: prefilled comments,
prioritization, analytics
GROW: Attrition stats. 1st
Phase current stats
dashboard, roster auto-
populated
2b: Comment analytics
(identify top guys, NLP
characterization)
3a: Graph of performance
vs. character, fine-tuned
stats, real-time injuries,
student geo-tracking
3b: centralized schedule,
preloaded into app
Instructor
Value Prop
-Less time spent entering
data during/post evolution
-User friendly U/I
-Automatic roster updates
-Quick reference student
performance trends
-Attendance/times recorded
automatically and instantly
-No more “lost” students
Leadership
Value Prop
-Instructors spend more
time training students and
less time entering data,
which safety & injuries
(hypothesis)
-Trends, comparison to
historical averages
-”Factory floor” awareness
dashboard, “red flag” alerts
-Analytics and awareness
-Be able to see 2x2 matrix
graph of performance and
character real-time
Student database integration SMS integration, $ (RFID)
UI-specific learnings
• Selection of multiple students
• Suggested comments (positive and
negative)
• Injury reporting option
• Search bar for students in addition to list
• Alphabetical ordering instead of ordering
by groups/boat crews
• Select evolution first
• Big buttons with text
• Voice feature (not shown in current
mockup)
4
1
Current mockup
Test here: https://h4d.bubbleapps.io/version-test
4
2
Time saved calculation
20 seconds/per comment, but 0 seconds per duplicate
(20 seconds) * (52% unique comments) = 10.4 seconds
30 seconds to edit a comment, done to about 10%
(30 seconds) * (10% of comments) = 3 seconds
2 minutes to upload, will upload ~10 comments at a time
(2 minutes) / (10 comments) = 12 seconds
Time spent per comment: 25.4 seconds (round to 30)
Time saved per comment: 9:00 - 0:30 = 8:30
1315 comments/9 classes, so assume 146 comments/class
Time saved per class = (8.5 minutes) * (146 comments) = 20.7 hours
4
3
4
4
4
5
4
6
4
7
4
8
4
9

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21st Century Frogman Lessons Learned H4D Stanford 2017

  • 1. 21st Century Frogman Data Driven Solutions for Navy SEALs FINALINITIAL 1 Problem: Training injuries lead to BUD/S inefficiency and the loss of quality candidates from the program Solution: Predictive algorithm + dashboard to display safety risk Problem: Instructors waste time recording and entering data during training Solution: App that streamlines real-time data entry
  • 2. The Team And our fantastic Sponsor and Mentors Andrew Sparks BS Aero ‘03 MBA ‘18 Subject Matter Expert Support Commander DeCoster Lieutenant Prybella Sponsor Paul Dawes Mentor Lisa Wallace Industry Mentor Colonel Burns Military Mentor 2 Priyanka Sekhar BS CS ‘17 MS CS ‘18 Machine Learning Kelsey Schroeder BS MCS ‘17 MS MS&E ‘17 Strategy Gerardo Rendón BS SYMSYS ‘17 MS MS&E ‘18 Design / Data Mining
  • 3. Customer Interview Breakdown 3 66 Active Duty Military 31 Military Civilians 28 Industry Experts 125 Total Customer Interviews
  • 4. The Emotional Rollercoaster Highlights Pre - Coordination Challenges 1 - Spring Break Work 2 - Database Disaster 3 - Problems Everywhere 4 - Trip #1 to NSWCEN 5 - Instructor Surveys 6 - Begin MVP 7 - Product Mission Fit! 8 - Betrayal 9 - Development 10 - Trip #2 to NSWCEN, deliver prototype to Sponsor 4 Team Emotion Flow Over 10 Weeks
  • 5. Database and Dataflow Challenges 9 Databases in use at NSWCEN 5
  • 6. - NSW employee when asked about current tools for data analysis “CTRL-F” Team assessment: They are CTRL-Fing this entire thing up 6
  • 12. Discovery of Our True Beneficiary Initial belief about our Primary / Secondary Beneficiary Leadership Instructor Student Medical N6 KM HP 12 1 2
  • 13. Injury underreporting….viewed as a sign of Strength Overall, 50% would view the classmate as Tough/Dedicated 1 3 Tough / Dedicated Stupid Same Weak Tough / Dedicated Tough / Dedicated
  • 14. - Instructor when asked if he would change training due to heightened risk of injury “No.” 1 4
  • 15. Discovery of Our True Beneficiary Initial belief about our Primary / Secondary Beneficiary Leadership Instructor Student Medical N6 KM HP 12XXPivot Discovery of the True Primary / Secondary Beneficiary Leadership Instructor Student Medical N6 KM HP 12 1 5
  • 17. YES! If I could capture observations while in the field using an app… would greatly enhance grading and cadre to student debrief/counseling. - 1st Phase Instructor Fact. A high pain point for me, because I need my instructors commenting on as much as they observed as possible. The easier that is, the more they capture. - 1st Phase Officer 1 7
  • 18. MVPs Evolve…...Feature-Specific Learnings - More refined User Interface - Ability to select recommended comments or enter free text - Ability to search by student or evolution - Can select multiple students - Removed positive / negative comment feature to reduce clicks - Added audio record feature 1 8
  • 20. Internal Readiness Level Prototype low-fidelity Minimum Viable Product 1 2 3 4 5 6 7 8 9 2 0
  • 21. Deployment Rollercoaster Product Mission Fit!!! Let’s code!! Supporter or Saboteur?? People still use that?? 2 1 We’ll build a web app!
  • 22. Deployment roadmap 2 2 Open source and make available to CLD contract winner 5/19 - Coding Begins 6/2 - NSWCEN Visit #2 Proof of Concept Evaluation Summer 2017 - Contract Bids Solicited Contractors Prep Bids Fall 2017 - Contract Awarded
  • 23. -Reduced data entry burden: Less time spent entering data during/post evolution -Ease of use: User friendly U/I, intuitive note-taking process -More optimal utilization of instructor expertise: Instructors spend more time training students and less time entering data, which. 21st Century Frogman: Mission Model Canvas - UI/UX Design - Backend database design - Integration with current systems and standards - Earn customer buy-in - Gather data during alpha release to enable V2 design - Produce technical specs and deliver learnings to leadership - Continued sponsorship by NSWCEN CSO (CAPT CD), OPS (CDR DD), POC (LT CP) - NSW N6 Comms/IT - NSW N3 Database Managers - CLD Manager H4D Team: 1) Successful U/I proof of concept with placeholder student data 2) App provides groundwork for contracted solution Primary Beneficiary - 1st Phase BUD/S Instructors: 1) Reduced data entry time during an evolution by 50% 2) Reduced post evolution data entry / synthesizing time by 75% - Alpha Version of app used by instructors. Valuable feedback is gleaned. - Company that wins new CLD contract uses our app code and integrate into their solution - Push to other military centers with similar needs Fixed: - Software design & engineering; software products - Travel to NSWCEN (paid for by NSWCEN) Variable: - Installation and integration; ongoing support - Software experience in conjunction with tools (e.g., Balsamiq, Thunkable) - Credibility from reputation of NSW teammate to aid customer willingness to try product - Guidance and expertise from mentors in industry and military applications - Need support from NSWCEN (allow implementation) and customer interviews. - BUD/S instructors who have had previously negative experiences with GideonSoft app Beneficiaries Mission AchievementMission Budget/Costs Buy-In/Support Deployment Value Proposition Key Activities Key Resources Key Partners - Primary: 1st Phase Instructors - difficult to enter data, stagnant data, student injuries, lost students - Secondary: NSWCEN / BTC Operations Officer - stagnant data, lost students, student injuries, awareness of “factory floor” - Other: Students - injuries, instructors 2 3
  • 24. Mission Achievement H4D Team: 1) Successful U/I proof of concept with placeholder student data 2) App provides groundwork for contracted solution Primary Beneficiary - 1st Phase BUD/S Instructors: 1) Reduced data entry time during an evolution by 50% 2) Reduced post evolution data entry / synthesizing time by 75% 2 4
  • 25. Beneficiary Mission Achievement 2 5 20.7 (20 secs per unique entry, 2 minutes to upload, 30 sec to edit 10% of comments) hours saved per class 94% time reduction per comment Increase comment frequency Generate clean data for analysis (beyond CTRL-F) 2 5Higher quality of instruction 9:00 per comment 0:30 per comment
  • 26. San Francisco Police Academy 250 trainees/year 8 months of training/student No digital note-taking mechanism Beyond Naval Special Warfare Center 2 6 Other applications: Military training centers (Army Special Forces) Amateur/professional sports teams (Palo Alto High School)
  • 27. Key Learnings 1) Wet and sandy: not a comfortable combination 2) Customer discovery: essential to problem understanding 3) Sponsor support: goes a long way 4) Security/Legal: can be last-minute blockers 5) Defense: large opportunity for impact 2 7
  • 28. SPECIAL THANKS TO Dana DeCoster Chris Prybella Jay Hennessy Christian Dunbar Scott McCallum Russell Black Phil Richey Brandon Barker Kevin Mangini Celeste Machado Anonymous Brownshirt Steve Blank Joe Felter Pete Newell Steve Weinstein Melisa Tokmak Isaac Matthews Darren Hau Jared Dunnmon Lisa Wallace Paul Dawes Curtis Burns 2 8
  • 30. 21st Century Frogman: Value Proposition Canvas Customer Jobs Train Navy SEALs Primary Beneficiary: 1st Phase Instructors Gains Pains Gain Creators Pain Relievers - Reduce manual tasks; automate tagging of target activities Products & Services Free text data entry app for 1st Phase BUD/S evolutions - Less time wasted entering redundant data - More streamlined data-entry experience during training evolutions - Having to enter all data twice (field and then office) - No way to pre-populate comments on paper - Reduce data entry burden for instructors through automation 3 0
  • 31. 21st Century Frogman: Value Proposition Canvas Products & Services Free text data entry app for 1st Phase BUD/S evolutions - Reduce data entry burden for instructors through automation Customer Jobs Build and deliver high quality, high character SEALs to the community- Feeling of not knowing what is going on down on factory floor - Attrition of “hard” guys - Sub-optimal utilization of instructor expertise Secondary Beneficiary: NSWCEN / BTC Operations Officer Gains Pains Gain Creators Pain Relievers - Instructors are happy - Instructors spend less time on redundant tasks (organizational efficiency) - Instructors spend more time monitoring students, which could improve safety and reduce injuries 3 1
  • 32. 21st Century Frogman: Value Proposition Canvas Products & Services Free text data entry app for 1st Phase BUD/S evolutions - Easier Data entry for instructors Customer Jobs Survive Training so they can hunt bad guys- knees, shoulder, back - Instructor scrutiny - cold water - sand in crevices - illness, chafing - sleep deprivation Other Beneficiary: Students Gains Pains Gain Creators Pain Relievers - Happier Instructors TBA 3 2
  • 33. Instructors (BUDS 1st phase) day in the life 3 3 6:00 am - 6:30 am: Get breakfast 6:30 am - 7:00 am: Brief students on what evolution will consist of 7:00 am – 12:00 pm: Take out the boats and do some runs in the ocean with students. Come back, have students do a PT session, time them and take notes on their performance. Then teach SEAL skills class. 12:00 pm – 12:45 pm: Lunch 1:00 pm – 3:00 pm: Timed evolution for students; take notes on performance. 3:00 pm – 3:30 pm: Input student performance data on spreadsheets 3:30 pm – 5:00 pm: Oversee student pool exercises 5:30 pm: Finish inputting last minute notes, make final arrangements, leave work Stay until 8:30 for dinner and another evolution (about two or three times a week).
  • 34. Customer Archetype Leadership Instructor Student Medical N6 KM HP Position CDRE / XO OPS / CMC First phase BUD/S BUD/S Candidate Corpsman, MD Comms, IT Knowledge Management Contracted Company Age - M/F Rank 36-50 Male CAPT / CDR / Master Chief 25-35, Male, Petty Officer, Chief 18-30 Male Seaman, Petty Officer 25-40 M/F HM1, HM2, LT-CDR 20-40 M/F Petty Officer, Chief, CIV 25-50 M/F Contracted Civilian 30-50 M/F Civilian Motivation Safely & efficiently produce elite Navy SEALs Hold standard high, safe training, supervise evolutions Finish BUD/S, serve country, be a part of an elite team Treat injuries effectively, ensure safety Avoid IT violations, keep comms working Serve country, steady 9-5 job, keep boss happy Manage NSWCEN data, get next contract Pains Stagnant Data High Attrition Oversight Inputting data, unreliable software Instructors, cold water, sand, injuries Redundant data entry, unreliability IT violations, restrictive IT security Tasks that are outside their scope of work Competitors, contracting, restrictive IT Gains User friendly dashboard User friendly, automatic updates Injury prevention Reduced data entry, less hurt students New tech that is allowed 3 4
  • 35. User Flow (1st Phase Instructors) 3 5 Record comments during evolution on notepad or Notes app CLD After evolution, type comments into Excel spreadsheet Email spreadsheet to CLD contractor (HP) HP inputs data into CLD database Record comments during evolution on notepad or Notes app After evolution, type comments directly into CLD CLD WhatwethoughtReality Integration with CLD is a must
  • 36. ~80% (79.2%) of comments fall in the top 20% of categories (by frequency of use) 28% of comments fall under “Other - Negative” Pareto reigns supreme 3 6 Behavior category # % Other - Negative 369 28 Demonstrated less than 100 percent effort 133 10 High Performer 115 8.7 Malicious Boat Ducking 99 7.5 Physically weak 94 7.1 Other - Positive 65 4.9 Poor Performance Counseling 64 4.9 Displayed unprofessional behavior 39 3.0 Exemplary performance 32 2.4 Consistently demonstrated leadership 31 2.3 TOTAL 1041 79%
  • 37. Emerging Vision Step 1: MVP Team Frogman Builds and deploys Step 2: Integrate with analytics to provide attrition stats, medical drops, real time analytics on desktop and mobile Step 3: Wearables for collecting performance data in real time. Direct input to analytics dashboard. 3 7
  • 38. Emerging vision 3 8Analytics Admin data schedules, rosters Performance data free-text comments, run/swim times, incident reports
  • 39. Emerging vision 3 9 V1 V2 V3 Admin data Daily training schedule Manual Manual Auto Phase roster Manual Auto Auto Performance data Free-text comments Auto Auto Auto Incident/injury reports Auto Auto Auto Run/swim times Manual Manual Auto Analytics Comment analysis No Yes Yes Attrition statistics No Yes Yes Injury pinpointing No Yes Yes
  • 40. 4 0 Emerging Vision STEP 1 STEP 2 STEP 3 Feature Summary GET: Free-text comments, formatted to compatible spreadsheet, roster manually inputted/edited KEEP: prefilled comments, prioritization, analytics GROW: Attrition stats. 1st Phase current stats dashboard, roster auto- populated 2b: Comment analytics (identify top guys, NLP characterization) 3a: Graph of performance vs. character, fine-tuned stats, real-time injuries, student geo-tracking 3b: centralized schedule, preloaded into app Instructor Value Prop -Less time spent entering data during/post evolution -User friendly U/I -Automatic roster updates -Quick reference student performance trends -Attendance/times recorded automatically and instantly -No more “lost” students Leadership Value Prop -Instructors spend more time training students and less time entering data, which safety & injuries (hypothesis) -Trends, comparison to historical averages -”Factory floor” awareness dashboard, “red flag” alerts -Analytics and awareness -Be able to see 2x2 matrix graph of performance and character real-time Student database integration SMS integration, $ (RFID)
  • 41. UI-specific learnings • Selection of multiple students • Suggested comments (positive and negative) • Injury reporting option • Search bar for students in addition to list • Alphabetical ordering instead of ordering by groups/boat crews • Select evolution first • Big buttons with text • Voice feature (not shown in current mockup) 4 1
  • 42. Current mockup Test here: https://h4d.bubbleapps.io/version-test 4 2
  • 43. Time saved calculation 20 seconds/per comment, but 0 seconds per duplicate (20 seconds) * (52% unique comments) = 10.4 seconds 30 seconds to edit a comment, done to about 10% (30 seconds) * (10% of comments) = 3 seconds 2 minutes to upload, will upload ~10 comments at a time (2 minutes) / (10 comments) = 12 seconds Time spent per comment: 25.4 seconds (round to 30) Time saved per comment: 9:00 - 0:30 = 8:30 1315 comments/9 classes, so assume 146 comments/class Time saved per class = (8.5 minutes) * (146 comments) = 20.7 hours 4 3
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