What dashboards tells you
A QR dashboard is the single screen where scans, conversions, costs, and problems are visible at a glance. A good dashboard answers the question what needs attention today without forcing anyone to open five tools.A dashboard nobody opens is decoration. If the team checks a spreadsheet instead, the dashboard has failed.
How to compute dashboards
Dashboard coverage = key metrics shown on the dashboard divided by key metrics you track, multiplied by 100.Illustrative example numbers, not real-world data: 6 of 8 key metrics appear on the main dashboard, giving 6 / 8 x 100 = 75% coverage. The two missing metrics live in a spreadsheet nobody opens, which means they effectively do not exist for daily decisions.
How to collect the data
List the decisions the dashboard must support, then choose the smallest set of metrics that supports them. Add freshness, owner, and date range labels to every chart.Keep the raw counts, not just the final percentage. Raw counts let you recompute the metric if you later fix the definition, and they make it possible to spot a denominator problem, such as a week where exposures were estimated instead of counted. Store the counts in one place with the date range, the placements included, and the name of the person who pulled them. That small discipline turns a spreadsheet into an audit trail.
Reading the result
Never judge dashboards as a single number. Break it down by placement, campaign, and metric. A campaign that looks average overall may be strong in one segment and weak in another, and the fix is completely different in each case. Compare the same placement against its own past, and compare different placements only when their audiences and contexts are genuinely similar. A short trend over four or more comparable periods is worth far more than a single snapshot, because it separates a real shift from weekly noise.Also check the relationship between dashboards and the metrics around it. If scans rise while conversions fall, the new scanners may be less interested visitors, or the landing page may have changed. If cost rises while dashboards stays flat, you are paying more for the same outcome. Metrics make sense in groups, not in isolation, and the habit of reading two or three together prevents most misreadings.
