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Intellisense H4D Stanford 2019

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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

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Intellisense H4D Stanford 2019

  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

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