Aviation insights for the modern pilot

After months or years away from flying, returning pilots need more than legal currency. Learn how structured assessment, targeted training, and measurable flight data can help rebuild real proficiency and confidence.

Brian Chaney

September 3, 2026

Tell your CFI exactly where the maneuver becomes difficult, what you observed, what standard or objective you were trying to meet, and what you need help understanding. Bring one relevant example rather than a general statement such as "I am bad at landings." A specific conversation gives the instructor something that can be demonstrated, explained, practiced, and reviewed on the next attempt.

Brian Chaney

August 26, 2026

A flight school training quality management system is a controlled way to define training objectives and standards, qualify and align instructors, deliver lessons, assess students, preserve records, identify deficiencies, implement corrective actions, and verify that improvements reached the actual program. It is a management framework for training quality, not merely a dashboard, scheduling system, learning management system, or maneuver score.

Brian Chaney

September 10, 2026

A flight school technology pilot should test one defined operational or training problem with a limited group, a documented baseline, controlled records and privacy rules, trained users, predeclared success and failure criteria, and a clear decision to scale, modify, extend, or stop. A pilot should produce evidence, not simply enthusiasm or usage counts.

Brian Chaney

September 9, 2026

Evaluate flight training software by starting with the school's real operational and instructional problem, then verifying the production features, aviation-data methods, official-record boundaries, instructor workflow, privacy, security, AI behavior, reliability, export, support, and measured results in a limited pilot. A polished demonstration or long feature list is not enough.

Brian Chaney

September 9, 2026

A flight training data governance policy defines what information the school collects, why it is collected, which source is authoritative, who may access it, how it is corrected, how long it is retained, when it is exported or deleted, how vendors and AI may process it, and who is responsible for each decision. It should distinguish required aviation records from supplemental training analytics and distinguish direct measurements from calculated, inferred, or AI-generated information.

Brian Chaney

September 8, 2026