Chapters
- 01 · Ask a Business Question, Not for a Dashboard
- 02 · Choose the Right Population and Denominator
- 03 · Separate Volume, Speed, Quality, Cost, and Outcome
- 04 · Compare Trends and Useful Segments
- 05 · Use Leading and Lagging Indicators
- 06 · Show Sample Size, Missing Data, and Blind Spots
- 07 · Connect Summary Metrics to the Records
- 08 · Design for the Person Using the Report
- 09 · Capstone: Build a Reporting Brief
12 min · Interactive exercise
Connect Summary Metrics to the Records
Every summary opens, and one of them gets read on purpose.
Drill-through is a first-class requirement, not a nice-to-have. Every aggregate in the brief names how to get from the number to the records underneath it, filtered the same way.
The reason is not curiosity. It is that this is the only way anybody ever finds out a number is wrong.
The field that disagrees with the notes
This is the payoff for the entire previous guide and it is the most useful thing in this one.
In a real analysis, a categorical reason field reported that competitors accounted for a small share of losses. Somebody read the free-text notes on those same records and found a competitor named several times more often than the field claimed.
The field was not broken. It was filled in by people, at a moment when categorising a loss was the least interesting part of their day, and the default was easier than the accurate answer. A field is only as good as the process that fills it, which the previous guide spent eight chapters on, and the only way to discover the gap is to go and read the records.
So the brief should name, for at least one metric, the record-level check that would falsify it. Not as a one-off audit. As a standing part of how the number is trusted.
GTM Lab
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Open the number
The field and the records disagree, and the only reason anybody knows is that somebody read them. Add a path from every number to its records, then write the check.
Fixture: field-versus-notes
The field and the record disagree
FIXTURE-FIELD-VS-NOTES- What the reason field reports
- A small share
- What the free-text notes say
- Several times more often
- Was the field broken?
- No
- Who fills it in
- People, at the least interesting moment of their day
- How anybody found out
- By reading the records