Five FAA Risk Models
- 20 hours ago
- 4 min read
How Pilot Decisions Feed the Future of Safer Flight
The Five FAA Risk Models and How FlightWorthy Turns Them into FlySafe AI
In aviation, safety rarely fails because of a single event. Most accidents happen through a chain of decisions, small risks that compound until the margin disappears.
The Federal Aviation Administration (FAA) recognized this long ago and developed several Aeronautical Decision Making (ADM) models to help pilots think systematically about risk.
These models—
PAVE, IMSAFE, 3P, 5P, and DECIDE
—are taught to every pilot, yet in practice they often remain mental checklists that disappear once the flight is over.
At FlightWorthy, we see something more powerful:
What if these models could become structured safety data, gathered automatically before and after every flight?
That data can power FlySafe AI, helping pilots learn from their own decisions while improving safety across the entire general aviation community.
---
The Five FAA Safety Models
1. PAVE – Identifying Risk Before Flight
The PAVE model helps pilots evaluate four major categories of risk before a flight.
PAVE stands for:
- Pilot
- Aircraft
- Environment
- External Pressures
Pilot
- Fatigue
- Currency
- Experience level
Aircraft
- Maintenance status
- Fuel reserves
- Aircraft performance limitations
Environment
- Weather conditions
- Terrain and obstacles
- Airspace complexity
External Pressures
- Schedule commitments
- Passenger expectations
- “Get-there-itis”
PAVE encourages a pilot to ask the most important question in aviation:
Should this flight happen at all?
---
2. IMSAFE – The Pilot Health Check
Even a perfect aircraft and good weather cannot overcome an unfit pilot.
IMSAFE stands for:
- Illness
- Medication
- Stress
- Alcohol
- Fatigue
- Emotion / Eating
This model focuses on human factors, which account for the majority of general aviation accidents.
A simple IMSAFE check can prevent a risky flight before the engine even starts.
---
3. The 3P Model – Continuous Risk Management
Risk assessment does not end at takeoff.
The 3P model encourages pilots to constantly evaluate changing conditions.
3P stands for:
- Perceive – Detect hazards
- Process – Evaluate their significance
- Perform – Take action
Examples include:
- Weather deteriorating
- Fuel burn higher than expected
- Unexpected traffic congestion
- Changing runway conditions
The 3P model reinforces a key aviation principle:
Good pilots continually reassess the situation.
---
4. The 5P Model – Flight Phase Reassessment
The 5P model expands situational awareness during critical phases of flight.
5P stands for:
- Plan
- Plane
- Pilot
- Passengers
- Programming
Pilots review these items during:
- Preflight
- Before takeoff
- Mid-flight
- Before descent
- Before landing
In modern cockpits, Programming (avionics automation) has become a significant risk factor when pilots become overloaded by complex avionics systems.
---
5. DECIDE – Handling Unexpected Problems
When something goes wrong, the DECIDE model provides a structured decision process.
DECIDE stands for:
- Detect – Recognize the problem
- Estimate – Determine the risk
- Choose – Select a safe outcome
- Identify – Plan actions
- Do – Execute the plan
- Evaluate – Assess the result
DECIDE helps transform stressful situations into logical decisions.
---
Where Traditional Aviation Falls Short
While these models are excellent tools, they are usually:
- Mental exercises
- Not recorded
- Not analyzed later
- Not shared across the aviation community
This means aviation loses one of the most valuable resources available today:
Operational data from everyday pilot decisions.
---
The FlightWorthy Approach
FlightWorthy transforms these safety models into structured operational intelligence.
Before each flight, the pilot performs a digital preflight briefing inside FlightWorthy.
The system prompts the pilot through a structured safety review including:
PAVE Evaluation
- Pilot readiness
- Aircraft status
- Weather risk level
- External pressures
IMSAFE Check
- Health and fatigue assessment
Aircraft Airworthiness Review
- Airworthiness Directive compliance
- Maintenance tasks
- Open discrepancy list items
This creates a real-time safety profile for the flight before the aircraft even leaves the ground.
---
Post-Flight Debriefs: Where Learning Happens
After the flight, FlightWorthy encourages a short post-flight debrief.
Pilots record:
- Weather actually encountered
- Unexpected conditions
- System anomalies
- Decision points
- Lessons learned
These debriefs provide valuable operational insight that is rarely captured in general aviation.
---
FlySafe AI: Learning from Every Flight
FlySafe AI aggregates operational data across:
- Aircraft types
- Pilot experience levels
- Environmental conditions
- Maintenance status
- Flight outcomes
Over time, patterns emerge.
For example:
Predictive safety insights
- Pilots flying this aircraft type with crosswinds above 18 knots frequently divert.
Risk warnings before flight
- Your aircraft has open maintenance discrepancies combined with forecast crosswinds above typical limits.
Personalized pilot feedback
- Your previous three flights in similar weather resulted in high workload events.
---
The Vision
Commercial aviation benefits from massive safety data networks.
General aviation does not.
FlightWorthy changes that by turning every flight into a learning opportunity.
Through simple preflight and post-flight prompts based on the five FAA risk models, FlightWorthy captures valuable safety information and feeds it into FlySafe AI, building a continuously improving safety knowledge system for pilots, owners, and mechanics.
Because safer aviation does not come from luck.
It comes from learning before the accident happens.
---
FlightWorthy
Safety Intelligence for General Aviation
Comments