You rebuild the same report every Monday, and read it once.
Three systems, one spreadsheet, two hours, and a number you then have to interpret anyway.
The problem, as it actually is
The work is not analysis. It is export, paste, reconcile, chase the one figure that is wrong, and format. By the time it is readable, the week has started without it, so decisions were already made on memory.
Dashboards were supposed to fix this. Mostly they moved the problem: now there is a dashboard nobody opens, because a screen of charts does not tell you what changed or whether it matters.
What I build
- Pulled from the systems the numbers actually live in
- On a schedule, overnight.
- Reconciled the way you reconcile it
- Including the adjustments you make by hand today.
- Written, not just plotted
- A short plain-English summary: what moved, what stalled, what is unusual, and what it probably means.
- Delivered where you will read it
- Email, or wherever your team already talks.
- Flagged when something is off
- A figure outside its normal range is worth an interruption. The rest can wait for Monday.
What it connects to
Your accounting system, CRM, job or order system, and spreadsheets. Whatever holds the numbers.
What it will not do
Invent a figure it could not retrieve. Smooth over a gap. Tell you a number is reliable when the source was incomplete: it says so instead.
What it takes
Read access to the systems, the current report, and twenty minutes on which numbers you actually look at and which are there out of habit.
What people ask before they buy
- “Our numbers need explaining by someone who knows them.”
- They do, which is why the summary is built from your own reconciliation rules and says what it is unsure about. It makes the meeting shorter; it does not replace the person.
- “We already have a dashboard.”
- Then this may be the cheapest thing on the list, because the hard part is done. What is missing is the written summary and the alert when something moves.
- “Our data is a mess.”
- Common, and the Blueprint will tell you whether to fix the data or the report first. Sometimes the right answer is neither.