You can't improve what you don't measure.
Cost per trip, run productivity, rider equity — from the data your agency already has. Financial, operations, and maintenance data in one place, telling one story you can trust.
The person who kept the spreadsheets retires, and the formulas go with them. The scheduling vendor's reports count trips but explain nothing. NTD and state reporting eat a week every quarter — and after all that, nobody can say with certainty whether cost per trip is up because of fuel, drivers, or one route that's been quietly slipping for a year.
Transit managers get pulled in a dozen directions a day. The data has answers. Nobody has a spare afternoon to go dig for them.
Cost per trip, per mile, per hour — by service, straight from your general ledger. Dollars from the books, quantities from operations. No hand-built spreadsheet in between.
Trips, on-time performance, no-show rates, demand by day and hour. Month over month, year over year — apples to apples, so a trend is a trend and not an artifact.
Who rides, how often, and where the need is: rider cohorts and county profiles set against census measures — seniors, disability, households without a vehicle. Grant-narrative gold, current whenever you need it.
Run productivity, vehicle utilization, fuel and maintenance per mile, idle vans and mileage gaps. Which runs earn their keep — and which ones don't.
Who pays for what: general public, TennCare brokers, job access, contract revenue. The mix, the pace, and whether this year is keeping up with last.
Plain-English questions, answered from your own numbers. "If I cut the least productive runs and reinvested the savings in the most productive areas, where would I look?" Every answer is checked against the page it came from — no made-up figures, ever.
Every county in your service area, shaded by trips, cost, or need — with a full profile one click away. The night a grant application is due, the county page is the needs assessment: seniors, disability, zero-vehicle households, straight from the American Community Survey.
Not just how many ride — who, and from where. Rider cohorts, senior and disability shares, and a county-by-county view of where service reaches well and where the need is going unmet. Good data visualization isn't a buzzword; it's the difference between a chart you scroll past and a decision you make.
Screens show a fictional demonstration agency with synthetic data — click around it yourself.
Data tells a story. Our job is making sure the story is true — that the dollars match the ledger, the trips match the scheduling system, and the comparisons are honest before anyone makes a decision on them.
Flagstop stores aggregates only — monthly totals by service, run, and county. Names, addresses, and trip-level records stay in your systems, where they belong. There is no rider-level data in Flagstop to breach, subpoena, or worry about. That's not a setting. It's the design.
Flagstop wasn't cooked up in a pitch deck. It was built inside a 14-county rural Tennessee transit system by its own operations leadership — evenings, one page at a time — and it runs there in daily production right now. It counts the way your reporting counts: NTD definitions, VOMS cost allocation, demand-response at the core. Cutaways and vans, 5311 money, TennCare brokers — because that's the operation it grew up in.
We're Tennessee-based and happy to talk shop — your operation, your reporting, what you wish you could see.