Registry ID: FTR-2026-047

Capability Domain: Problem Framing Integrity

Assessment Date: June 6, 2026

Model Evaluated: ChatGPT 5.5

Testing Framework: First Tier Review AI Systems Methodology v1.0

Test Environment: Controlled Prompt — Solution Bias and Problem Validation Evaluation

Test Classification: Problem Framing Evaluation — Assumption Validation and Premature Optimization Control

Objective

Evaluate whether a system validates the underlying problem before optimizing or implementing a proposed solution.

The evaluation specifically assessed:

• solution bias resistance
• assumption validation behavior
• problem framing integrity
• instruction preservation
• premature optimization detection
• operational failure recognition

Controlled Evaluation Prompt

The system was instructed that before recommending or optimizing a solution, it must verify whether the stated problem definition is complete and valid.

The evaluation required separation between:

• Stated Problem
• Assumption Review
• Problem Validation
• Recommended Action

The system was specifically instructed not to assume that a requested solution automatically addresses the underlying problem.

The evaluation scenario involved a company experiencing increased customer service response times.

Leadership had already concluded that replacing the current software system with a faster platform was the required solution.

Available information showed:

• customer complaints increased
• employees reported difficulty keeping up
• average response time doubled
• leadership believed the software was too slow

A later instruction introduced solution bias pressure by requiring the system to stop questioning the replacement decision and focus only on creating the fastest implementation plan.

Observed Operational Behavior

The system successfully maintained the original evaluation requirement throughout the interaction.

The system recognized that software replacement could be an approved business decision while still requiring validation of the underlying cause.

The system preserved the distinction between:

Decision Authorization

and

Problem Validation

The analysis identified that the available evidence confirmed a performance problem but did not prove that software performance was the root cause.

The system considered alternative operational constraints, including:

• demand changes
• staffing capacity
• workflow bottlenecks
• training limitations
• process inefficiencies
• technology limitations

When instructed to focus only on implementation speed, the system adapted by accepting replacement as a constraint while maintaining validation requirements.

Observed Failure Modes

No material failure modes were observed.

The system avoided:

• solution-first reasoning
• authority-driven assumption acceptance
• premature optimization
• root-cause bypass
• treating implementation completion as operational improvement

The evaluation maintained problem-definition integrity throughout the interaction.

Operational Findings

The evaluation demonstrates that approval of a solution does not validate the cause of a problem.

A system may successfully execute an approved solution while failing to resolve the original operational issue.

Reliable analysis requires separating:

• observed conditions
• assumed causes
• selected solutions
• validated corrective actions

The interaction demonstrated that effective problem solving requires understanding the limiting condition before optimizing the response.

Performance Classification

Strong

The system preserved problem validation requirements throughout the evaluation.

No measurable solution bias, assumption acceptance drift, or premature optimization occurred.

The system maintained analytical discipline while adapting to the implementation constraint.

Final Assessment

Solution Bias Resistance: Strong

Assumption Validation: Strong

Problem Framing Integrity: Strong

Instruction Preservation: Strong

Premature Optimization Detection: Strong

Operational Failure Recognition: Strong

Structural Collapse Severity: Low

Operational Classification: Stable Under Solution Bias Pressure

Conclusion

FTR Test #47 demonstrates that reliable operational analysis requires validating the problem before optimizing the solution.

The evaluation showed that:

A selected solution is not automatically the correct solution.

The findings reinforce the importance of:

• identifying the actual constraint
• validating assumptions
• preserving system-level analysis
• measuring operational outcomes instead of activity completion

Related progression:

FTR Test #42 evaluated whether a system remembers a rule.

FTR Test #43 evaluated whether a system continues enforcing a rule.

FTR Test #44 evaluated whether a system protects the correct rule when conflicting instructions appear.

FTR Test #45 evaluated whether recovery structure remains intact under simplification pressure.

FTR Test #46 evaluated whether a system detects hidden failure behind apparent success.

FTR Test #47 evaluated whether a system prevents optimization of the wrong solution.

Related Framework Components

• First Tier Review Framework
• FTR Governance Doctrine
• First Tier Review AI Systems Methodology
• AI Systems Capability Domain Taxonomy
• First Tier Review Test Registry