Resources · Glossary · Guide
The key terms of analysis,
briefly explained, with an example.
Pivot, measure, dimension, cohort, attribution: talking about numbers needs shared words. This glossary explains the terms used across the Peak Analytics pages, each with a fictional example and a note on whether the preview covers it today.
Where do you want to make progress?
Source tasks, one row is one task
The key terms of analysis,
briefly explained, with an example.
Building blocks, metrics, methods.
Pivot, measure, dimension, cohort, attribution: talking about numbers needs shared words. This glossary explains the terms used across the Peak Analytics pages, each with a fictional example and a note on whether the preview covers it today. Building blocks describe how an evaluation is put together. Metrics describe what is calculated. Methods describe how to compare groups over time or across stages.
What you need.
- A shared definition of source, measure and dimension.
- One place where your definitions live, such as a document in Peak Docs.
- The Academy lessons for the methods behind the terms.
The learning path
Look up, compare, write down.
Building blocks of an evaluation
Pivot: a table of rows, columns and a measure. Dimension: what you split by, such as month or channel. Aggregation: count, sum, average, minimum or maximum. Time grain: day, week, month, quarter, year. Largest cell: the highest value with its share of the total. The preview has all of these.
- Source tasks, one row is one task
- Rows board, columns status, measure count
- One sentence everyone reads the same way
One sentence everyone reads the same way
If you get stuck
When the number doesn't fit.
What is the difference between empty, null and missing?
Empty means not filled in, null means deliberately no value, missing means the field doesn't exist on that row. Peak Analytics keeps the three apart so averages and counts aren't distorted.
Is a metric the same as a KPI?
No. Every KPI is a metric, but only a few metrics are KPIs: the ones you tie a decision to.
What does "cut-out" mean in Peak Analytics?
Very large sources are marked as a cut-out. The number then applies to that cut-out, not to the whole source.
Your quality check
Before you apply it to your numbers.
Tick what you have checked. Your selection stays in this view only.
0 of 3 points checked
What this article is based on.
Editorial page with fictional examples (Harbourview Agency (fictional), Taktwerk Software (fictional), Nordwind Travel Goods (fictional)). The guide describes an approach; where Peak Analytics covers a step today, the page says so explicitly. No measurements, no customers, nothing is sent or saved.
- Editorial demo
Synthetic numbers in the browser. No real data is read, computed or saved.
- Checked evidence
Peak Analytics is a preview: pivot over orders, receipts, tasks, goals and files; count, sum, average, minimum, maximum; day to year; CSV export; sharing a released snapshot; largest value as a task.
peak-one app/w/[scope]/apps/analytics, lib/bi/model.ts, lib/views/pivot.ts, lib/bi/share.ts · checked 2026-10-29
Same words, same numbers.
The methods behind the terms are explained in the Analytics Academy lessons, each with a fictional worked example.
Frequently asked questions
Do I need Peak Analytics for this guide?
No. The guide works with any spreadsheet. Peak Analytics is a preview; where it covers a step today, the page says so.
Is a metric the same as a KPI?
No. Every KPI is a metric, but only the few you tie a decision to are KPIs.
What is a pivot?
A table of rows, columns and a measure, such as month × channel × sum. Pivot evaluations are the core of the Peak Analytics preview.
What does "cut-out" mean?
Very large sources are marked as a cut-out in Peak Analytics. The number then applies to that cut-out only.