# Ask for any number your network has, and get it back the way the question needs it. Plain language in, a ranked list or a trend or a filtered exception out. Read live from the systems your locations already run on, not from a dashboard someone built three years ago. > Which locations are behind plan this week? Store #331−18% Store #087−12% Store #219−8% **3 of 12 locations** behind plan. Bookings drive all three.1.4s ## Reporting is somebody’s Monday morning. At HQ, twelve versions of the same spreadsheet are circulating and nobody is certain which one is current. In the field, a coach spends the two hours before a call assembling numbers by hand, so the call opens as a recap of a week that already happened. **At HQ, this week’s numbers** XLSweek-42-v7RE: RE: numbers XLSrollup-FINALCSVattach-by-store PNGP&L-chartPPTdeck-v2-final FW: which version? XLSlabour-hours-v4 XLSq3-numbers-v3 XLSregional-rollupPDFstore-auditsending mine over XLSrollup-v11 CSVbookings-export the-real-one.xlsxEDITED BY 4 PEOPLE **One coach, the morning of one call** - 7:40am Pull six weeks of bookings - 7:55am Pull labour against target - 8:10am Attach rate versus territory - 8:25am Check open compliance items - 8:40am Build the deck - 9:00am Call starts Eighty minutes of preparing lagging KPIs, thirty locations, for one meeting. None of it was coaching. Still not the complete picture. ## It reads what your systems already hold, at the source. There is no warehouse to load and no model to build first. When a question needs a number, it goes and gets the current one from the system of record. - **Sales and transactions**: Tickets, services, discounts, refunds - **Bookings and capacity**: Appointments, utilization, open slots - **Labour**: Hours, cost against revenue, variance - **Customers**: Retention, lapse, frequency, lifetime value - **Financials**: P&L lines, invoices, payments, royalties - **Compliance and training**: Certification, completion, open items - **Onboarding**: Ramp progress against cohort - **Support**: Questions asked, tickets, content gaps Reads live from **250+ integrations**. [See what connects](/content/platform/integrations/index.html) Mindbody! ServiceTitan! Toast! Square! QuickBooks! Xero! SharePoint! Google Drive! Trainual! Docebo! Salesforce! HubSpot! Microsoft Teams! Slack! Mailchimp! Notion! Zenoti! Lightspeed! FranConnect! Dropbox! Box! OneDrive! Stripe! Zoom! Google Meet! Airtable! Monday! Canva! Constant Contact! TouchBistro! Thryv! HighLevel! Zoho! TalentLMS! Loom! Vimeo! Amazon S3! ProfitKeeper! Qvinci ## One dataset, rendered however the question needs it. Four questions about the same twelve locations and the same six weeks. Nobody specified a chart type, and nobody built a dashboard first. “Rank my territory by attach rate” - Store #11834% - Store #05231% - Store #20428% - Store #33119% - Store #08714% “Show me that as a trend instead” Six weeks, territory average median 23% “Just the ones behind plan” - Store #331 bookings−18% - Store #087 rebook rate−12% - Store #219 attach rate−8% Nine locations at or above plan are left out. “Send me this every Monday at 7” TEAMS · MON 7:00AM West territory, week 4 33 of 12 behind plan. #331 needs the reactivation play. Full cut attached. ## The opportunity sits across your whole stack. EZee Assist pulls it together. Your POS knows what sold. Your scheduler knows what is empty. The CRM holds who has not been back. EZee Assist reads all of it together and returns the insight, the report, and the dashboard, with nobody assembling anything. ### Insights Opportunities surfaced, ranked by value ### Reports Any cut, on any cadence, written for the reader ### Dashboards Live views, scoped to every role 250+ CONNECTIONS · READ AND WRITTEN AT THE SOURCE · NOTHING MIGRATES Each system answers its own slice. The insight lives in the join, and in a BI tool that join is a modeling request that takes a quarter. Here it is a sentence. ## The numbers come to you before you think to ask. A dashboard waits to be opened, and most weeks nobody opens it. Set the thresholds that matter and the report arrives on your clock, in the channel you already have open. ### Monday’s brief is written before you start Twelve locations ranked by need, at four in the morning. Nobody requested it and nobody assembled it. ### A threshold breaks and you hear about it that morning Set the line that matters and the message finds you the morning something crosses it, rather than at month end in a dashboard nobody opened. 6:12TUE EZEE ASSIST · SMS Store #331 dropped below 70% booked overnight. 340 lapsed clients match the reactivation profile. Show me the list ### It flags the drift nobody set an alert for Store #087’s rebook rate has slid three weeks running. No threshold existed for it, which is exactly why it went unnoticed. ## Now, franchisees can generate reports too, and see only what’s relevant to their locations. Every level gets the same capability, bounded by what they are entitled to see. Nobody sees another owner’s numbers, enforced by the permissions your systems already hold. - **HQ**: The whole network. Every location, every cut, every period. - **Field coach**: Their territory. Twelve locations, compared against each other. - **Franchisee**: Their locations. P&L, bookings, labour, their own team. - **Store manager**: Their store. Today, this week, measured against target. ## Send us the report your team rebuilds every week. We’ll show you the same numbers with nobody assembling them, and three questions you were never able to ask.