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Cell Logic — Scoreboard
1 · Day by day
2 · Consultant leaderboard — month to date
3 · Race to Target 1
Every store's running total as a share of its Target 1, against the dashed "on pace" line (day ÷ days in month).
4 · All stores — month to date
5 · Day by day — all stores
Connections (contracts + upgrades) per store for every day of the month. Each daily file adds the next day; earlier days stay as they were. ◂ marks the data-as-at day.
6 · Day by day — each consultant
Contracts (CT) and upgrades (UPG) per consultant per day, store total first. The first day of the month carries the opening position; every day after it is the change since the previous daily file (a 0 means no consultant split that day — the next split catches it up).
1 · Company snapshot — review month
2 · Store level — review month vs last year, vs previous month, vs Target 1
Connections — review month vs same month last year vs Target 1
Accessories (R) — review month vs same month last year vs Target 1
3 · People — who moved the number
Sorted by store. Flags are based on the change against the same month last year.
Biggest connection changes vs last year
Biggest accessory changes vs last year (R)
4 · The year in context — by month, this year vs last year
Connections per month
Accessories (R) per month
5 · Heat map — connections vs same month last year, by store
Green = up on last year, red = down, blank = month not in yet. Read across a row to compare stores in one month; read down a column to see a store's year. YTD = Jan to the review month combined.
6 · Automatic read-out
7 · Daily archive — the review month day by day
Cumulative % of Target 1 by day
Connections per store per day
Ask the Board
Build a question with the choices below; every card, table, chart and sentence answers it. Colour code: black = connections · gold = accessories · red = attach rate · grey = insurance.
Comparison
In plain English
Month by month
Leaderboards — who is leading on deals and accessories
Connections (deals)
Accessories (R)
Store scorecards
Every store as a hero tile: number, change on last year and on the previous period, grade (A = 15%+ up · B = 5–15% up · C = flat ±5% · D = 5–15% down · E = 15%+ down), progress against last year and a straight run-rate projection. Card colour: green = ahead of last year, amber = within 5% behind, red = more than 5% behind.
Year on year store graphs
How each store is tracking — connections (left) and accessories (right); ■ 2024■ 2025■ 2026. All stores first, then one row per store.
Insurance deals
Store — insurance deals, year to date vs last full year
Store — insurance attach rate (deals per 100 connections, year to date)
Monthly insurance deals
Consultant — insurance deals, year to date vs last full year
Management
Admin Supreme only. Everything here saves straight to the database.
Add a warning
Pick the person; the result month, their figures and the store minimum fill in. Check them, set the issue date and save.
Who is below the store minimum
Register
Add a gameplan
One gameplan per person per month. Start from a template (placeholders fill in automatically) or write it free-hand, set the review date and save.
This person at a glance
Register
Per consultant per month. Used in the warning letters and the "below minimum" check. Edit a cell and press Save.
Target 1 / 2 / 3 connections and accessories Target 1 per store per month. The current month fills in from the daily sync; earlier months can be typed in here so the Scoreboard can show % of target for any month.
Data: Scoreboard Live.xlsx → Supabase (project cell-logic-scoreboard), refreshed each weekday after Paula's daily file lands. A daily file dated day N holds data up to day N−1. Monthly figures come from Used Data (2024 onward); daily figures from Daily Data (September 2026 onward); insurance from the year-on-year stats upload (May 2025 onward).