This is the kind of problem that looks simple on paper and becomes a knot of conditional logic the moment you try to automate it. The user here has a clear, practical goal: build crews from a pool of resources, match them to work orders by FTE count and station, respect start dates, and avoid wasting people on jobs where they'll sit idle. The rules are sensible, assign one crew leader for small crews, two for larger ones, fill with A mechanics first, then backfill with B or H if needed, and reuse the same crew when station and start date align. It's exactly the sort of structured decision-making that screams for automation, yet the user is stuck wrestling with Excel formulas and contemplating a VBA button that will "spit out a dummy sheet."
What we see here is a gap between the logic the user already possesses and the tool they're using to execute it. The rules are well-defined. The constraints are clear. The pain point is repetition: manually testing permutations and combinations every week, checking resource exhaustion, and adjusting assignments. This isn't a failure of understanding, it's a failure of the medium. Excel is a fantastic canvas for building a single instance of this schedule, but it was never designed to run iterative constraint-based optimization on a weekly cycle. The user is asking for a one-click solution, and the honest answer is that VBA can get them partway there, but it will require significant maintenance as rules evolve.
Our take is that this user is ready for a fundamentally different approach. Instead of hardcoding crew-assignment logic into macros, they should explore an AI-native system that learns their rules and adapts as conditions change. The rules they've described, FTE thresholds, resource hierarchies, station reuse, are exactly the kind of structured heuristics that modern scheduling engines can ingest and optimize. The goal isn't to eliminate the user's expertise; it's to offload the repetitive combinatorial work so they can focus on exceptions and edge cases. A tool that accepts plain-English rules like "if FTE <= 5, assign one CL and three A's, backfill with B or H" and then generates a weekly schedule with resource-utilization warnings would turn their current multi-hour process into a review-and-approve workflow.
The practical implication is straightforward: stop treating crew scheduling as a spreadsheet puzzle. The user already has the logic; they need a system that executes it without manual permutation. The next step is to prototype a small set of their rules in a scheduling tool that handles the combinatorial search automatically. If the tool can also flag when a crew is delinquent or when resources need to be borrowed from another department, exactly what they asked for, then the "dummy sheet" becomes a live, actionable schedule. The user's time is better spent validating the output than building the machine.