The Lever Board
The proven levers for stores like yours, ranked by what each is worth at each of your stores, with the verdict attached.
Seurat computes the reads on a weekly cadence behind the board; your experience is the board itself, inside your own login.
Every lever on the board was measured at stores like yours that already did it, adjusted for the ways your store is different, and priced in dollars with a confidence grade. After you pull a lever, we check what it actually did against our estimate and show you whether it landed inside the range.
Each lever is tried on the store's twin first, sized from effects measured at real stores.
Each row: the lever · where it's proven, source-cited · worth at this store, a range behind a midpoint · confidence, A/B/C · status.
The fingerprint is 5 indexed bars, scored 0–100 against the 14 stores the reads were measured at. It picks the stores like this one that the reads draw on, and explains the ranking.
We can get further without your data than you would expect. The dollar column is where that stops.
| You give us | You get | |
|---|---|---|
| Store-to-Store Read | Nothing | Which of your stores are underperforming, and what your customers say is wrong with them |
| Calibration Read | One data export | What the changes you've already made actually contributed to in-store sales |
| Lever Board | 2 years of sales data | Every proven lever ranked and suggested for each of your stores, with its lift contribution evaluated |
| Remodel Sequence Read | 2 years of sales data and your capital plan | Which sites on your capital plan should get the money first, which shouldn't get it at all, and what would have to change for the rest |
| Monitoring | Nothing new | Verdicts as the reads settle, plus where a lever is not showing up in the data the way it should, which usually means it is not being executed the way it was specified |