The Signal → Analysis → Insight → Act → Impact Model

This is the core framework behind F&B Revenue Management in WiseFins, best pictured as a loop rather than a one-time fix.

1. Signal
A line in your financial reporting, or in WiseFins, that raises a question. For example: "Average food check is down versus last year."

2. Analysis
Happens in two levels:

• Level 1: Main drivers, where and when.
• Level 2: Patterns and trends, how things evolve over time, by guest type, day of week, and so on.

3. Insight
A single, specific statement, not a paragraph of caveats. For example: "The decline in food average check is driven by weekday in-house guests at lunch, ordering fewer starters and premium mains, and shifting toward lower-priced set menus."

4. Act
The insight is what lets you build a real 30/60/90-day strategy instead of a knee-jerk reaction.

5. Impact
Monitor results and reevaluate at each milestone. It's a loop, not a one-off fix.

A note on AI
We wouldn't recommend using AI to run the two-level analysis itself, there are too many property-specific variables (seasonality, local events, team structure) for a general model to get right alone. Where AI genuinely helps: once you've done the analysis, use it to draft a clean, one-sentence Insight statement, and at the Act stage, to brainstorm 30/60/90-day ideas from what similar properties have tried. Treat that as a starting point, not an answer, you're the one who knows what actually works on your floor.