
A dashboard is the last step, not the first. When a chart gets built before the metric behind it is defined, you don't get insight — you get a meeting where two people argue because their "conversion rate" divides by different denominators.
Write the definition down before the query
Every metric needs a one-line spec: the exact numerator, the exact denominator, the time window, and what's excluded. If two analysts can't independently reproduce the number from the spec, it isn't defined yet.
- Metric
- Lead-to-customer rate
- Top number (numerator)
- Contacts who became customers during the period
- Bottom number (denominator)
- Contacts created during the period
- Time window
- Measured by each contact's created date, within the range you select
- Left out
- Test accounts and internal email domains
Tip
Keep a shared metric dictionary — one place where each number has one owner and one definition. It's the cheapest governance you'll ever add, and it ends most "the numbers don't match" fire drills.
Watch out
Two dashboards showing the same metric with different logic is worse than one dashboard, because now people trust the one that flatters them. Consolidate the definition before you consolidate the charts.
We build analytics foundations on clear definitions and clean data flow — dashboards that tie to goals and numbers leadership can act on, instead of a gallery of charts nobody fully believes.
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