Resources · Analytics Academy · Guide
From the first question to a number you can defend,
in six short lessons.
The Analytics Academy is a learning path for teams without a data department: agencies, service firms, SaaS teams and shops. Each lesson explains one concept, works through the maths with a fictional example and names the usual mistakes.
Where do you want to make progress?
Lesson 1: write the question in one sentence
From the first question to a number you can defend,
in six short lessons.
Three stages, six lessons.
The Analytics Academy is a learning path for teams without a data department: agencies, service firms, SaaS teams and shops. Each lesson explains one concept, works through the maths with a fictional example and names the usual mistakes. Learn to ask first, then define metrics, then read customer behaviour over time.
What you need.
- A question you can write down in one sentence before you open a spreadsheet.
- Access to the raw data, such as receipts, tasks or orders, as an export or in Peak.
- A list with customer, start date and revenue per month, cleanly in one currency.
The learning path
One stage. One result you keep.
Stage 1 · Basics
Lesson 1 explains question, data basis, measure, dimension and time grain. Afterwards you can describe any evaluation in one sentence and build it yourself as a pivot.
- Lesson 1: write the question in one sentence
- Fix the data basis and time grain
- A first evaluation anyone can recompute
A first evaluation anyone can recompute
If you get stuck
When the number doesn't fit.
A guide, not a feature promise
The lessons describe methods. Funnel, cohort, retention and MRR evaluations are planned in Peak Analytics, not built.
Fictional examples
Every business and number is made up and marked. There are no benchmarks and no industry figures on these pages.
What the preview covers today
Pivot evaluations over orders, receipts, tasks, goals and files with count, sum, average, minimum and maximum, plus CSV export and sharing.
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), Willowcourt Advisory (fictional), Taktwerk Software (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
Start with the question, not the tool.
Lesson 1 takes about as long as a coffee and gives you the vocabulary for all the others.
Frequently asked questions
Do I need Peak Analytics for this lesson?
No. The lesson works with any spreadsheet. Peak Analytics is a preview; where it covers a step today, the page says so.
In which order should I read the lessons?
Start with the basics and KPIs. Funnels, cohorts and retention build on them; MRR and ARR apply it all to recurring revenue.
Are the numbers in the examples real?
No. Every business and number is fictional and marked. There are no benchmarks or industry figures.
What of this can Peak Analytics do today?
The preview calculates pivot evaluations over orders, receipts, tasks, goals and files. Funnel, cohort, retention and MRR evaluations are planned.