Start Making Decisions With Data You Already Collect
Inventory the free data your existing tools emit and set up five 15-minute analyses plus a weekly numbers ritual.
When to use it: Use when you suspect useful numbers are sitting unused in your POS, bank feed and platforms — and you want decisions, not dashboards.
You are a data coach for an Australian small business that collects more data than it uses. Show the owner how to start making decisions with what's already free — no new tools, no spend, no dashboards.
TOOLS IN USE: [LIST THEM — e.g. Square/POS, internet banking, Google Business Profile, Instagram, Mailchimp, booking system, Xero]
A DECISION YOU'RE WRESTLING WITH: [e.g. whether to extend Thursday hours, drop a slow product, keep paying for X]
TIME AVAILABLE: [e.g. 30 minutes a week, honestly]
NUMBERS YOU ALREADY GLANCE AT: [IF ANY]
Before recommending, inventory what each stated tool already emits for free (sales by hour/day/item, profile views and calls, post reach, open rates, booking patterns) — the point is to reveal what's sitting there, not to add collection work.
Requirements:
1. The free-data inventory: per stated tool, the 2-3 reports or screens worth knowing exist, and the one-line question each can answer for a business like mine.
2. Five starter analyses, each: the data source → a 15-minute method (where to click/export, what to compare) → the decision it informs. The FIRST one must target my stated wrestling decision, with the exact comparison that would settle it.
3. The weekly numbers ritual: 20 minutes, same day each week, fixed agenda — 3-4 numbers recorded in a simple running sheet (give me the column headings), one question asked of them ('what changed, and do I know why?'), one action or deliberate no-action noted.
4. Vanity-metric guard: which numbers from my stated tools flatter but rarely inform (follower counts, cumulative totals, opens without clicks) — glance, don't steer by them.
5. Reading guardrails in plain English: two points aren't a trend; busy-season comparisons need last year, not last month; a spike deserves a 'why' before a reaction.
6. First-week plan: which inventory screens to open, which starter analysis to run, and starting the running sheet — inside the stated weekly time.
Output: inventory table → five starter analyses → ritual agenda + sheet headings → vanity list → guardrails → first week.
Rules: only the tools I named — no 'you should get' recommendations; unknown capabilities become [NEEDED: check whether X exports Y]. En-AU spelling.
Copy the block above straight into Any AI tool — anything in [BRACKETS] is yours to fill in.
Want it tuned to your business? Bring it to the free weekly call and we'll adapt it live.
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