agile, bmnt, business model, corporate innovation, customer development,dod,nsa, socomm, diux, h4d, hacking for defense, lean, lean launchpad, lean startup, stanford, steve blank

1. Team Sentinel
● Team members:
○ Jared Dunnmon
○ Darren Hau
○ Atsu Kobashi
○ Rachel Moore
● Cumulative # of interviews: 39 + 13
○ Users: 4 Experts: 9
● What we do: Enable rapid, well-informed decisions by establishing a common maritime
picture from heterogeneous data
○ Open and automated data aggregation (i.e. incorporate open source data)
○ Flexible layering and filtering with improved UI/UX
○ Enhanced intel through contextualization and easily accessible, common database
○ Identifying deviations from baseline
● Military Liaisons
○ John Chu (Colonel, US Army)
○ Todd Cimicata (Commander, US Navy)
● Problem Sponsor
○ Jason Knudson (Lieutenant, US Navy
7th Fleet)
● Tech Mentors include:
○ Elston ToChip (Palantir)

3. Customer Discovery
Hypotheses Experiments Results Action
We want
automated data
layering
REFINED
- Interviews with CMDR
Pablo Breuer (N3/6), CMDR
Rob Williams (N0)
- There is too much
layering going on
- Info overload, esp in
Straits of Malacca
- Need a better filtering
method
- Revamp the MVP to
focus on filtering layers
- Get a sanitized GCCS
screen of Straits of
Malacca
A common,
easily-searchable
database is
desireable
VALIDATED
- Interviews with CMDR Rob
Williams (N0), CMDR Chris
Adams (N3), CTR3 Joseph
Baba (N2), CMDR Pablo
Breuer (N3/6)
- Engagement with Elston
ToChip (Palantir)
- Interview with Chad Dalton,
Pat Kelly (OGSystems)
- Need to submit help ticket
to access certain
databases
- Palantir often interacts
with customers who have
siloed datasets
- 6+ databases that people
search through manually -
takes hours
- Develop separate MVP to
test database functionality
- How to establish common
database without losing
context-specific attributes?
- What are the data feeds
for 7th Fleet vs. PacFlt vs.
PACOM?
Analysts will
analyze, no need
to do our own
algorithms
INVALIDATED
- Interviews with Dr. Evelyn
Dahm (SOCPAC advisor,
J5/8), CMDR Rob Williams
(N0), CMDR Silas Ahn (N2)
- Would be helpful to
establish baseline and alert
when anomaly occurs
- Want push notifications
when a ship violates known
patterns
- Determine example
scenarios that 7th Fleet
wants to monitor

4. Customer Discovery
Hypotheses Experiments Results Action
We want
automated data
layering
REFINED
- Interviews with CMDR
Pablo Breuer (N3/6), CMDR
Rob Williams (N0)
- There is too much
layering going on
- Info overload, esp in
Straits of Malacca
- Need a better filtering
method
- Revamp the MVP to
focus on filtering layers
- Get a sanitized GCCS
screen of Straits of
Malacca
A common,
easily-searchable
database is
desireable
VALIDATED
- Interviews with CMDR Rob
Williams (N0), CMDR Chris
Adams (N3), CTR3 Joseph
Baba (N2), CMDR Pablo
Breuer (N3/6)
- Engagement with Elston
ToChip (Palantir)
- Interview with Chad Dalton,
Pat Kelly (OGSystems)
- Need to submit help ticket
to access certain
databases
- Palantir often interacts
with customers who have
siloed datasets
- Analysts are spending too
much time developing their
own custom ETL tools
- Develop separate MVP to
test database functionality
- How to establish common
database without losing
context-specific attributes?
- What are the data feeds
for 7th Fleet vs. PacFlt vs.
PACOM?
Analysts will
analyze, no need
to do our own
algorithms
INVALIDATED
- Interviews with Dr. Evelyn
Dahm (SOCPAC advisor,
J5/8), CMDR Rob Williams
(N0), CMDR Silas Ahn (N2)
- Would be helpful to
establish baseline and alert
when anomaly occurs
- Want push notifications
when a ship violates known
patterns
- Determine example
scenarios that 7th Fleet
wants to monitor

5. Customer Discovery
Hypotheses Experiments Results Action
We want
automated data
layering
REFINED
- Interviews with CMDR
Pablo Breuer (N3/6), CMDR
Rob Williams (N0)
- There is too much
layering going on
- Info overload, esp in
Straits of Malacca
- Need a better filtering
method
- Revamp the MVP to
focus on filtering layers
- Get a sanitized GCCS
screen of Straits of
Malacca
A common,
easily-searchable
database is
desireable
VALIDATED
- Interviews with CMDR Rob
Williams (N0), CMDR Chris
Adams (N3), CTR3 Joseph
Baba (N2), CMDR Pablo
Breuer (N3/6)
- Engagement with Elston
ToChip (Palantir)
- Interview with Chad Dalton,
Pat Kelly (OGSystems)
- Need to submit help ticket
to access certain
databases
- Palantir often interacts
with customers who have
siloed datasets
- People use data analysis
products to support
preconceived ideas
- Develop separate MVP to
test database functionality
- How to establish common
database without losing
context-specific attributes?
- What are the data feeds
for 7th Fleet vs. PacFlt vs.
PACOM?
Analysts will
analyze, no need
to do our own
algorithms
INVALIDATED
- Interviews with Dr. Evelyn
Dahm (SOCPAC advisor,
J5/8), CMDR Rob Williams
(N0), CMDR Silas Ahn (N2)
- Would be helpful to
establish baseline and alert
when anomaly occurs
- Want push notifications
when a ship violates known
patterns
- Determine example
scenarios that 7th Fleet
wants to monitor

6. Customer Discovery
Hypotheses Experiments Results Action
We want
automated data
layering
REFINED
- Interviews with CMDR
Pablo Breuer (N3/6), CMDR
Rob Williams (N0)
- There is too much
layering going on
- Info overload, esp in
Straits of Malacca
- Need a better filtering
method
- Revamp the MVP to
focus on filtering layers
- Get a sanitized GCCS
screen of Straits of
Malacca
A common,
easily-searchable
database is
desireable
VALIDATED
- Interviews with CMDR Rob
Williams (N0), CMDR Chris
Adams (N3), CTR3 Joseph
Baba (N2), CMDR Pablo
Breuer (N3/6)
- Engagement with Elston
ToChip (Palantir)
- Interview with Chad Dalton,
Pat Kelly (OGSystems)
- Need to submit help ticket
to access certain
databases
- Palantir often interacts
with customers who have
siloed datasets
- JIOC, PacFlt, 7th Fleet do
not see the same feeds ->
may lag each other by 2-6
hours!
- Develop separate MVP to
test database functionality
- How to establish common
database without losing
context-specific attributes?
- What are the data feeds
for 7th Fleet vs. PacFlt vs.
PACOM?
Analysts will
analyze, no need
to do our own
algorithms
INVALIDATED
- Interviews with Dr. Evelyn
Dahm (SOCPAC advisor,
J5/8), CMDR Rob Williams
(N0), CMDR Silas Ahn (N2)
- Would be helpful to
establish baseline and alert
when anomaly occurs
- Want push notifications
when a ship violates known
patterns
- Determine example
scenarios that 7th Fleet
wants to monitor

7. Coast Guard data fusion center visit
scheduled for Friday (4/22)
Customer Discovery

8. Research
- Interviews to assess needs,
organizational dynamics,
procurement strategy
- Site visits to see current practices
-Understanding current workflow
Prototype
- Evaluate existing sensor
platforms with commercial partners
- Integrate sensor feeds of interest
into prototype platform
- Compile existing data resources
- Create representative “fake”
datasets
- Evaluate relevant ML
algorithms for prediction and
rules for push alerts
- Iterate on human-machine
interaction
Strategic Decision Makers
VADM Joseph Aucoin
ADM Scott Swift (PacFleet)
ADM Harry Harris (PACOM)
Analysts (N/J2)
E.g. Jason Knudson, John
Chu, Jed Raskie, Joseph Baba
Operators (N/J3)
CDR Chris Adams (7th Fleet)
Planners (N/J5)
Need to find these people
- Common and consistent view of the Area of Responsibility (AOR)
- Timely operational decisions
- Decreased time to predict hot spots, ID & differentiate threats
- Reduced time for analysts to find information and draw conclusions
- Prototype operability + demonstrated scalability
Data Fusion/Sensor Integration Software (THIS SECTION IS A
WORK IN PROGRESS!)
- Build solution that integrates with current systems (e.g. GCCS)
- Work with PMs and key influencers to determine optimal
funding/dissemination avenues
- Deploy prototype, confirm buy-in and update features
- Scale deployment, improve product as necessary
Fixed
- Buying proprietary data
- Software tools
- Hardware evaluation + prototyping
equipment
- Evaluation of commercial products
Prototyping
- Existing sensor platforms and feeds
- Existing deployment platforms
- Academic research
- Existing data fusion platforms
Scaling
- Available commercial + military data
- Existing database tools (Palantir,
AWS)
- Need commanding officer to
confirm decision-making benefits
- Need intelligence officers from
ONI / N2 and operators from N3 to
confirm effectiveness of insights
- Need IT approvals to integrate into
systems
- Need support of commercial
partners if want to leverage their
platforms
Beneficiaries
Mission Achievement
Mission Budget/Costs
Buy-In
Deployment
Value
Proposition
Key Activities
Key Resources
Key Partners
Military
- 7th Fleet + designated sponsor
- Naval Postgraduate School (NPS)
- Office of Naval Research (ONR)
- Acquisition Personnel
Commercial
- Distributed sensor platform
companies (i.e. Saildrone, AMS)
- Data analytics (i.e. Palantir, Google)
Academic
- Universities (i.e. University of Hawaii)
- National Labs (Lincoln Labs, Sandia)
Other
- IUU fishing + anti-smuggling
stakeholders (i.e. Coast Guard, PNA)
- Disaster relief agencies
Mission: Enabling Rapid, Well-Informed Decisions from Heterogeneous Data
Testing
- 7th Fleet assets for pilot
- Research barge
- Access to model analyst data
interface
- Access to sample incoming sensor
feeds
Variable
- Travel for site visits, pilots
- R&D personnel
- Manufacturing/Development
IMPROVE TACTICAL AND
STRATEGIC DECISION
MAKING VIA BETTER DATA
HANDLING
(1) Rapid Strategic
Decisionmaking via Improved
Reporting
(2) Improved Tactical Decision
Making via Enhanced
Information Sharing
(3) More Effective Analysis via
Searchable, Visualizable Data
Integration
(4) Predictive Intel and Alerts
(e.g. Machine Learning)
ENHANCE INCOMING DATA
STREAMS
(1) Improved Collection of
Existing Data Streams (e.g.
Fishing Broadcasts)
(2) Painless Incorporation of
Multiple New Sensing
Modalities

9. Products
& Services
- Timely data
- Good UI/UX for
presenting data
- Streamlined reporting
process
Customer
Jobs
Gains
Pains
Gain Creators
Pain
Relievers
- Good UI/UX
- Platform incorporates
more data streams
- Platform is robust and
can handle drop out of
data streams
- Allocate assets
- Identify, eliminate
threats
- Predict hot spots
- Safety of team
- Projecting peace,
stability in region
- More informed
decisions
- Faster decisions
- Poor quality/lack of data
- Latency of data ->
insight
Admiral/Strategic Decision Maker
Value Proposition Canvas

10. Products
& Services
- Contextualized,
object-oriented
database
- Algorithms for
processing,
analyzing data
- Ability to search for trends
across database
- Integration of disparate
data sources
- Automation of data
analysis
- Improved UX/UI
- Predictive notifications
Customer
Jobs
Gains
Pains
Gain Creators
Pain
Relievers
- Contextualized, object-
oriented database
- Compatible data format
- Incorporate multiple data
streams
- Collect & analyze
data
- Communicate
findings
- Piece together
contextualized
awareness
- More actionable
insights
- Faster identification &
response times
- Easy-to-use
- Incorporation of context is
manual/mental
- Poor quality / lack of data
- Latency of data -> insight
Analyst (N2)
Value Proposition Canvas

11. Products
& Services
- N/A
- Actually a common
operating picture!
Customer
Jobs
Gains
Pains
Gain Creators
Pain
Relievers
- No hardware to deploy so
no risk of asset or
personnel loss
- Fewer change orders
- Utilize assets and
human capital in
order to obtain ISR
data on adversary
or regions of
interest
- Better allocation and
deployment of assets
- High manpower, time
- Operator error
- Safety concern for deploying
in unfriendly territory
- Struggle to redeploy systems
on short notice (<12 hours) =
frustration
Operations (N3)
Value Proposition Canvas

12. MVP

13. MVP

14. MVP

15. Questions?

16. Customer Workflow

17. Customer Workflow
N2
N3
N2
(“owns”
the
intel)
N3
(“owns”
the
assets)
Ready-To-Use DataDeployment
Data
Acquisition
Data
Analysis
Data
Order/Decision

18. MVP (1 week ago)
AIS Weather

19. MVP (1 week ago)
AIS Weather

20. MVP (1 week ago)
AIS Weather

21. Data Acquisition
Contextualized
Database
MVP (2 weeks ago)
Deployment
Last Month
Today
Object-oriented
Database
Query
- What data is most useful to capture?
- What sensor modalities can capture?
- What products exist?
- What deployment options exist?
- What is easiest to deploy?
- What is “good-enough” time to data
acquisition?
- What is the deployment process?
- Is .kmz format all that is necessary for
compatibility?
- What do companies like Palantir do
today?