Demand forecasting, operational anomaly detection, guest-flow intelligence, and decision support — without installing hardware. We turn signals into the three actions your duty manager should take in the next 90 minutes.
Each panel translates raw signals into the next operational decision. Not anomaly detection — decision support.
| Ride | Risk Score | Status |
|---|---|---|
| Backlot Stunt Coaster | 59 | → WALK NOW |
| Flight of Fear | 38 | Sentiment Watch |
| Apple Zapple | 12 | Healthy |
| Twisted Timbers | 11 | Healthy |
| Dominator | 9 | Healthy |
| Intimidator 305 | 8 | Healthy |
These are the measurable targets we hold ourselves to. If we fail to hit them in the first 60 days, you don't pay for the pilot.
Every signal turns into an action. Built so your team works from it, not just checks it.
Per-ride waits updated every 3–5 minutes from aggregated, privacy-preserving operational signals. No sensor hardware required.
8-minute latency from deviation to alert. Catches capacity drops, stacking, and unusual cycle times before guest complaints surface.
Heatmap-style crowd distribution by park zone, updated hourly. Shows coaster alley vs. kids area vs. food courts in real time.
Spot when a ride's average cycle time drifts vs. its own historical baseline — without touching a single piece of ride hardware.
Shows not just the number but what's driving it: weather, hotel demand, school calendars, gas price, social hype, and competitor closures.
Aggregated hotel search and booking velocity in your drive market. Leading indicator of next-72-hour park attendance.
Every US school district's schedule mapped against your gates. Surfaces spring break pile-ups, early dismissal patterns, and graduation weekends before they hit.
Regional gas price trends correlated with historical attendance. Quantifies how much a $0.30/gal swing moves your numbers.
Daily mention count plus the ops translation: which ride likely needs queue management, which warrants additional staffing, which earns a promo budget.
Classified by intent and routed to the right team — planning complaints to marketing, on-park complaints to duty managers within 8 min, hype mentions to PR.
Tells you if a new attraction's buzz is translating to repeat visits and capacity pressure, or just one-time curiosity. Drives the marketing-pause decision.
Categorized by topic AND attached to the recommended remediation. Operations sees: "Flight of Fear dispatch complaints rising → inspect cycle cadence" — not "negative sentiment trending."
Where tomorrow's guests are choosing to go. Operators don't act on competitor wait times — they act on the next 7 days of regional draw shifts.
No per-seat SaaS pricing. No modules you have to buy separately. We scope a pilot against the specific problems you want to solve — whether that's throughput optimization, demand forecasting, or competitive benchmarking — and you see live data for your park before you commit.
30 minutes. We pull a real day from the past 30 — Saturday, holiday weekend, whatever you want — and walk through 4 specific moments where Thoosie would have changed a decision your team made that day. No deck, no software tour. Just the actual data with the actions attached.
Built by Ben Brooks. Kings Dominion regular since 1993. Mechanic, engineer, and someone who's spent a thousand days at parks. I built Thoosie because I wanted operators to have the data that consumer apps quietly collect anyway.
ben@thoosie.app
30 minutes, your park's live data. No deck, no pitch.