Command Center
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Daily Sales
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WTD Sales
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Period Sales
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vs LY
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Projected
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Sales Pace
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Pace Var
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Labor %
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vs Budget
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Ticket Avg
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TA vs LY
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Transactions
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Txn vs LY
STORE SCORECARDS β€” Current Week
Weekly Agenda
Store visits, meetings, and task priorities by day
🎯 Week Goals

β†’ Carried Forward
Daily Recap
Tap stores you visited, add notes throughout the day, compile at the end
Tap a unit card to mark as visited Β· tap again to unmark
Additional Notes Meetings Β· Admin Β· Market observations Β· Anything not unit-specific
πŸ“‹ Recap History
Intelligence
Period KPI trends, store comparison, AI-generated insights
AI INSIGHTS
STORE COMPARISON β€” Β· β–²β–Ό = trend vs last week
StoreNet SalesTrending wk/wkvs LY %Trending wk/wkLabor %Trending wk/wkTransactionsTrending wk/wkTrans vs LY %Ticket AvgTrending wk/wkTicket vs LY
NET SALES β€” THIS YR vs LAST YR (BY PERIOD)
TRANSACTIONS β€” THIS YR vs LAST YR (BY PERIOD)
SPMH β€” BY PERIOD
LABOR % β€” BY PERIOD
OP Accountability Tracker
Log coaching conversations, commitments, and follow-through by Operating Partner
Filter:
Analytics
Drive-thru channel performance β€” B-Lane car counts, OTD timing, and Goal A % by unit
πŸš— B-Lane (Drive Thru B) β€” Running Totals
Drive Thru B POS transactions from the QSR Daily Recap
Unit Today WTD PTD QTD YTD B-Lane %
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B-Lane % = Lane 2 cars Γ· (Lane 1 + Lane 2) cars PTD. Measures B-Lane utilization as share of total drive-thru volume.
πŸ“ˆ Daily B-Lane Transactions β€” Last 14 Days (Market Total)
πŸ“Š Period Summary β€” B-Lane by Unit
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⏱ Order-to-Delivery by Lane β€” Current Period Avg
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🎯 Goal A % by Unit β€” Current Period
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Shifts
Daily & weekly daypart (shift) sales trends vs last year, by unit
πŸ“Š Actual vs Theoretical
Daily food-cost variance vs theoretical usage, by unit β€” the honest counted total
πŸ’΅ Food Cost Submissions
Food Cost Calculator submissions from your OPs β€” adjusted actual vs theoretical with the 0.25% waste allowance
βœ… NSF Readiness
Self-audit walks your OPs submit from the NSF Audit Walk tool β€” Food Safety (pass β‰₯ 90) and Quality scores, with a Critical auto-fail flag
🏈 Friday Night Lights β€” Sales Report
10PM–12AM game-night numbers your OPs submit. Pick a week, review the market, then compile & email to your supervisor.
πŸ“‹ Catering Orders
Group & school order requests submitted from the flyer QR codes β€” across all five units. OPs work these in their app; this is your oversight.
🧠 System Insights
What changed across the market and what to do about it β€” measured against each unit's own trailing baseline. Sharpens as more data accumulates. Refreshed nightly.
🏟️ Game-Day Catering Leads
Upcoming home games near each unit β€” the visiting school coming to town and the hosting school's program. Contact a week ahead about team meals, concessions, and group orders.
πŸ—“οΈ OP Schedule
Weekly labor schedule (Tue–Mon) β€” pick the week, fill it in, it autosaves; export or email the grid
πŸ† Whatagames
Weekly scorecard β€” enter the yellow inputs, points & ranks calculate live, publish to your OPs
🏈 Friday Night Lights
Local high-school football schedule by unit
Period Comparison
Side-by-side unit performance across periods
vs
πŸš— B-Lane Performance
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πŸ’° Financial Metrics
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πŸ“Š Unit Ranking β€” B-Lane Transactions PTD
Calendar
Upcoming events synced from Apple Calendar
No calendar data loaded. Run sync_calendar.py or tell Claude "Sync my calendar" to pull events from Apple Calendar.
Notes
Quick reference notes β€” search, view, and add
Weekly Review
AI-compiled from daily recaps Β· Current week
Period Recap
AI-compiled Β· All recaps in period vs budget
Quarterly Recap
AI-compiled Β· Full quarter assessment
OP Tools
Everything your OPs submit, in one place β€” daily KPI reporting, bench plans, truck orders, weekly expenditures, and daily food cost across all five units.
Live KPI submissions from Operating Partners β€” Labor, SPMH, Food Cost, Sales vs PY
Date Store / OP Period Labor % vs Budget SPMH FC % vs Theo Sales vs PY Net Sales Notes Actions
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Help
Reference guide for the Command Center.
⚑ HOW TO SYNC YOUR CALENDAR
  1. Open Cowork and say: "Sync my calendar"
  2. Claude runs scripts/sync_calendar.py β€” reads directly from Apple Calendar via AppleScript
  3. Refreshes the Calendar view with your upcoming events (14-day window by default)
Company-shared calendar events are included automatically β€” any calendar visible in Apple Calendar will appear here.
COWORK PROMPTS β€” QUICK REFERENCE
LOG TODAY'S RECAP
"Log today's recap: [paste your notes]"
DRAFT SUPERVISOR EMAIL
"Draft my supervisor email for today in my voice"
BUILD NEXT WEEK'S AGENDA
"Build my W18 agenda based on open items"
PROCESS REPORT
"Process the R365 export in Reports/Food-Cost-R365/"
ANALYZE PERFORMANCE
"Run a full analysis on this week's KPIs"
COACHING PREP
"Prep my coaching notes for 1053 (Maria) visit"
πŸ“Š Intelligence Tab
Enter weekly KPIs per store β€” Net Sales, vs LY%, Labor%, Speed of Service, SPMH, Transactions, Ticket Average, and Food Cost%. The comparison table shows all stores side-by-side with color coding. The Trend Chart shows the selected metric over time across all stores. Data is auto-populated by running scripts/parse_recap_pdfs.py after adding new PDFs.
πŸ“ Reports Vault
Upload and organize store reports. Drop report files into the appropriate subfolder, then use Cowork to process them: "Process the [filename] report I just dropped in Reports/Daily-Stats/". Claude will extract KPIs and refresh insights.
πŸ“§ Automated Emails
Two scripts run via launchd: (1) Daily Recap Email at 7pm β€” creates an Outlook draft from today's recap. (2) Weekly Agenda Email every Friday at 6:30pm β€” creates an Outlook draft with next week's schedule and goals. Both create drafts only β€” you review and send manually. Run scripts/install_schedule.command once to activate.
βš™οΈ Data Pipeline
SPMH comes from the DKT Daily Recap PDFs (page 7 β€” DayPart Labor). SOS comes from Daily Stats PDFs (page 2 β€” Table 1, only available in the compiled weekly reports). After adding new PDFs to their folders, run scripts/parse_recap_pdfs.py to refresh all chart data.
🟒 Color Coding Reference
Sales vs LY
Green β‰₯ +3%
Yellow 0–3%
Red < 0%
Labor %
Green ≀ 29%
Yellow 29–31%
Red > 31%
Speed of Service
Green ≀ 3m 40s (220s)
Yellow ≀ 4m 10s (250s)
Red > 4m 10s
SPMH
Green β‰₯ $58
Yellow $52–$58
Red < $52
Higher-volume stores (1036, 1053, 1074) target $60
Templates
Fill in a template and export it to Excel, PDF, or email
Email carries a plain-text summary of the filled fields β€” attach the downloaded Excel or PDF to send the formatted copy.
Gold Standard Culture Program
Weekly, monthly & quarterly operator scorecards β€” synced across devices
Ops Manual
Ask a question and search the Whataburger Operations Manual (Vol 1-2)
Answers pulled from the Whataburger Operations Manual β€” verify against the official manual.
ANALYTICS
CULTURE
TOOLS