business model, business model canvas, mission model, mission model canvas, customer development, hacking for defense, H4D, lean launchpad, lean startup, stanford, startup, steve blank, pete newell, bmnt, entrepreneurship, I-Corps, Coast Guard

1. Team Intellisense
Original problem
“Coast Guard Operations
Specialists need a way to
track vessels in real time
to achieve more successful
interdictions of drug
cartels.”
BS, MS EE BS MCS MSx BS CS
Joshua
Dong Mike Kearnes Jacky Lin
Perry
Alagappan
Final Problem
“Coast Guard Operations
Specialists need a better
tool to analyze past
captures to achieve more
successful interdictions of
drug cartels.”
107 interviews &
5 site visits

2. The Coast Guard vs the Numbers
11 statutory missions:
• Search and Rescue
• Maritime Safety
• Port and Waterway
Security
• Drug Enforcement
• Plus 7 more!
Dual-role: military
and law enforcement
Other Law Enforcement
on the water:

3. ?
The vessel
tracking
problem.
400 miles of coast
is impossible to
monitor
constantly.
And we quickly
learned that the
ocean is huge!
3 Coast Guard sectors
on the CA Coast:
SF, LA/LB, SD
Week 1

4. Week 1
First MVP: Interactive
map to predict where
smugglers would be
and show friendly
vessels
Week 1

5. Maybe It is Not a Tech Problem
“You’re going to realize, it’s not a
technology solution. It’s a
relationship solution. How do we get
people to talk to each other?”
- Supervisor, California Office of Emergency Services
Week 2

6. We realized we needed to visit LA/LB
& San Diego to understand their
problems
Week 2

7. We thought we were onto something
1 2 3 4 5 6 7 8 9
There’s a lot
of players ...
On the rise
Week 3

8. We thought we were onto something, but...
1 2 3 4 5 6 7 8 9
But a lot of
competing
interests
Down in the trough
Week 3

9. What if we coordinate assets?
“Anything you do about
coordination of assets is good. But
that’s not the real problem.”
- General (retired) Barry McCaffrey
Week 3

10. What if we coordinate assets?
“Anything you do about
coordination of assets is good. But
that’s not the real problem.”
“The real problem is
prevention/education with
eradication at the source in second
place.”
- General (retired) Barry McCaffrey
Week 3

11. A shift in beneficiaries, and how do we get
everyone on the same page?
Pivot
June 6, 2019
Enforcement Agencies
Directors
CBP, DEA
Karl Shultz
Admiral, Commandant
United States Coast Guard
Kevin McAleenanEmpowerment of the Maritime Security Committees
Shifting from predictive mapping to
interagency cooperation & scheduling
Week 3

12. A policy change is not the same thing as a
cultural change
“Interagency cooperation and intelligence
sharing are already enshrined in law for
DHS [Department of Homeland Security].”
- Commander, US Coast Guard
Week 3

13. Patrol
Coordination
Patrol
Locations
Pivot: Shifting from interagency
coordination to one agency’s asset
allocation
Pivot
Week 4

14. We need better intuition for
patrol placement and
scheduling
“Hey, it’s a Saturday, 75 miles of
coastline. What route do we choose? It
might be where the best fish tacos are.”
- Chief Patrol Coordinator (LA-LB)
Week 4

15. How do our beneficiaries do their jobs
everyday and what is mission success?
“Even a 10% increase in identification
would be worth it”
Week 4

16. KEY PARTNERS
- Coast Guard Sector
Commanders (can
influence District
Commander)
- PEO at CG-9
- AMO/CBP San Diego
- Northrup Grumman
KEY RESOURCES
- IT Security Accreditation Approval
- Access to contractors currently in
this space (Northrup Grumman)
- Data about past captures from most
agencies (all is not viable without the
big players: Coast Guard, AMO, CBP)
VALUE PROPOSITIONS
Interactive, Real-time Map
Patrol schedulers share a digital
map informed by features that
help narrow down patrol regions
to where suspect vessels are
most likely to be caught.
“Try to align incentives and
concentrate resources through
product visualization”
KEY ACTIVITIES
Compiling Insights
- Data from multiple agencies
- Continue to add new data to the
model
- Live testing to validate concept
Full System Prototyping
- Start with one sector (LA/LB or San
Diego) and integrate other agencies
- Generate buy-in
- Pass on findings
MISSION ACHIEVEMENT
Patrol coordinators in CBP Field - Increase prosecution of “big fish” by 5%
Patrol Coordinators in AMO - Increase captures by 10%
Patrol Coordinators in USCG - Reduce “missed” boats by 10%
Interagency operating centers (JHOC, MCC) - Increase map info by 20%
Mission/Problem Description:
Maintaining Vessel Coverage
Designed by: The H4Di Team Date: 5/21/19
DEPLOYMENT
- Pilot project with one area like San
Diego/LA; multiple agencies will use
the map, so integration/coordination
effectiveness can be assessed
- Eventually grow to multiple
geographic areas
- Start with one sector to get buy-in
Version:8.0
BUY-IN & SUPPORT
Each Agency along the California
coast needs to buy-in that
stovepiped information is the
problem and our solution will
alleviate it. Technology is not the
limiting factor, the lack of
communication is. We need to
demonstrate that our MVP works
to obtain buy-in support.
Coast Guard Sector Commanders
MISSION BUDGET/COST
Costs:
- $400K O&M
- $3.0M O&R annual
Timeline:
- 18 months
BENEFICIARIES
Patrol coordinators in CBP Field
Patrol Coordinators in AMO
Patrol Coordinators in USCG
Secondary
Interagency operating centers
(JHOC, MCC)
SABOTEURS: “Doubting Thomas”
and “ATAK Allen”
Coast Guard Sector Commanders
Week 5

17. KEY PARTNERS
- Coast Guard Sector
Commanders (can
influence District
Commander)
- PEO at CG-9
- AMO/CBP San Diego
- Northrup Grumman
KEY RESOURCES
- IT Security Accreditation Approval
- Access to contractors currently in
this space (Northrup Grumman)
- Data about past captures from most
agencies (all is not viable without the
big players: Coast Guard, AMO, CBP)
VALUE PROPOSITIONS
Interactive, Real-time Map
Patrol schedulers share a digital
map informed by features that
help narrow down patrol regions
to where suspect vessels are
most likely to be caught.
“Try to align incentives and
concentrate resources through
product visualization”
KEY ACTIVITIES
Compiling Insights
- Data from multiple agencies
- Continue to add new data to the
model
- Live testing to validate concept
Full System Prototyping
- Start with one sector (LA/LB or San
Diego) and integrate other agencies
- Generate buy-in
- Pass on findings
MISSION ACHIEVEMENT
Patrol coordinators in CBP Field - Increase prosecution of “big fish” by 5%
Patrol Coordinators in AMO - Increase captures by 10%
Patrol Coordinators in USCG - Reduce “missed” boats by 10%
Interagency operating centers (JHOC, MCC) - Increase map info by 20%
Mission/Problem Description:
Maintaining Vessel Coverage
Designed by: The H4Di Team Date: 5/21/19
DEPLOYMENT
- Pilot project with one area like San
Diego/LA; multiple agencies will use
the map, so integration/coordination
effectiveness can be assessed
- Eventually grow to multiple
geographic areas
- Start with one sector to get buy-in
Version:8.0
BUY-IN & SUPPORT
Each Agency along the California
coast needs to buy-in that
stovepiped information is the
problem and our solution will
alleviate it. Technology is not the
limiting factor, the lack of
communication is. We need to
demonstrate that our MVP works
to obtain buy-in support.
Coast Guard Sector Commanders
MISSION BUDGET/COST
Costs:
- $400K O&M
- $3.0M O&R annual
Timeline:
- 18 months
BENEFICIARIES
Patrol coordinators in CBP Field
Patrol Coordinators in AMO
Patrol Coordinators in USCG
Secondary
Interagency operating centers
(JHOC, MCC)
SABOTEURS: “Doubting Thomas”
and “ATAK Allen”
Coast Guard Sector Commanders
Coast Guard Patrol Coordinator
• Experience on the water but not
necessarily with law
enforcement
• Driven by mission
accomplishment
• Age 35-40
• Masters Degree
• Cooperative mindset: builds
relationships with peers in
other organizations
We know our Beneficiary!
Week 5

18. 2nd MVP combined scheduling with
prediction for patrol route coordination
“This visual representation
is awesome.”
- Commander, Sector SF
Week 5

19. Frozen - Indecision
Scheduling Tool vs Predictive Map
Week 6

20. How do we choose scheduling vs prediction?
1 2 3 4 5 6 7 8 9
We need to talk to
patrol coordinators...
Week 6

21. We got out of the building to resolve
Scheduling vs. Prediction
Patrol Coordinators from SF, LA-LB, and SD sector all
ranked prediction over scheduling as maximizing value
Unanimous choice - Predictive Digital Map
Week 7

22. Moving into prediction ...
1 2 3 4 5 6 7 8 9
Getting to
something!
Week 7

23. Goal
Predicting future
vessel locations
Replace Intuition Week 8

24. Goal
Predicting future
vessel locations
Not as feasible ...
missing human
variables, designed
to be unpredictable
Replace Intuition Week 8

25. Goal
Predicting future
vessel locations
But …
patrollers have years
of L/E experience,
just lacking specific
trends
Not as feasible ...
missing human
variables, designed
to be unpredictable
Replace Intuition Week 8

26. Goal
Predicting future
vessel locations
Switch to
easy criteria-based
visualization and
playback of past
interdictions
But …
patrollers have years
of L/E experience,
just lacking specific
trends
Not as feasible ...
missing human
variables, designed
to be unpredictable
Augment IntuitionReplace Intuition Week 8

27. Created 3rd MVP to visualize historic
interdiction data (Identifying features removed)
Week 8

28. Our beneficiaries liked this direction
“This is impressive … give
me colors! I want to know
where the hot spots are”
- Chief, LA-LB
“Hell yeah, I would want
this”
- Commanding Officer,
Golden Gate Station
“This is a bronze medal
right now”
- Lt Commander, LA-LB
Week 8

29. 1 2 3 4 5 6 7 8 9
How will
we get buy
in?
Getting to “gold medal” and deployment ...
Week 9

30. What’s the fastest way to an interactive, filterable playback map?
Sam Jackson
(former Head TA)
Created 4th MVP with Color Coding,
Filtering
Week 9

31. What’s the fastest way to an interactive, filterable playback map?
Sam Jackson
(former Head TA)
Created 4th MVP with Color Coding,
Filtering
Kepler.gl
(GIS viz package)
Week 9

32. Intuitive trend visualizations in action
Week 9

33. Final demo: let’s use this today!
Run with it now
“Patrollers could take what you have today, and use it to do
patrols better. And they will use it today.”
- Lt Commander Smith, LA/LB
Easy to use
“It’s a lot faster than what I can do myself … This would be easily
utilized by other units that don’t have a GIS specialist like me.”
- Intel Officer, SD
Week 9

34. Deployment in US Coast Guard Sector
Los Angeles/Long Beach
● Delivering tool and cleaned datasets for free
● For next 3 months, consulting on representing data
streams in tool and capabilities of tool
● After 3 months, will consider possibility of major
work and funding
Week 10

35. Your support has made all this possible.
Thank you.
Teaching Team
Steve Blank
Col Pete Newell, Ret
Tom Bedecarre
Steve Weinstein
Jeff Decker
Nathaniel Simon, TA
Mentors
Craig Seidel
Lt. Col G. D. Hasseltine
CDR Marco Romani, Ret
Sponsor
LCDR Jack Smith
CWO2 Asad Hussain
Site Visits
Sector LA/LB
Sector San Diego
Sector San Francisco
Station Golden Gate
District 11 Alameda