For startups · Preview
Your first numbers,without building a data team first.
In year one it's rarely the will to measure that's missing, it's the time. Peak Analytics evaluates what already happens in Peak: receipts, orders, goals and tasks. You ask a question, build a pivot and get a number the whole team can talk about.
Put the goal into words. Add perspectives and timing right below.
Preview. No data model, no tracking setup; it evaluates what is in your Peak apps. Examples are fictional.
Receipts, expenses only / Counterparty × month, sum / Largest item with share as a „Check“ task
Where does the money go, is revenue coming, are we on track?
- Spend
- „What do we spend the most on every month?“ → Largest item with share as a „Check“ task
- Goals
- „How many of our quarterly goals are at risk?“ → Released snapshot for the board update
- Customers
- „Are our buyers new or returning customers?“ → CSV for the investor meeting
Your question
Which number does your team ask for first every month?
Three questions, three sources: receipts for spend, orders for revenue, goals for direction. The first months rarely need more. The example runs only in this browser window and reads no data from your workspace.
Local working example · nothing is saved or sent. Please don't enter personal data.
Three details. One clear evaluation question.
Draft · not yet put together
- Soru
- Still open
- Data basis
- Still open
- Next step
- Still open
Two fictional situations
Which number does your team ask for first every month?
Two fictional startups show how that question becomes a pivot and a next step.
Lumenwerk (fictional)
„What do we spend the most on every month?“
- The action
- Counterparty × month, sum
- The intent
- Largest item with share as a „Check“ task
Spend
- Soru
- What do we spend the most on every month?
- In Peak Analytics
- Receipts, expenses only
- Why
- The biggest expense is usually the first lever, and checking it costs a task, not an analysis.
Two fictional situations show the path from question to finding. Below is what the preview can do today.
To the source and limitIs this for you?
Numbers before they get expensive.
Your first numbers,
without building a data team first.
This is where Peak Analytics helps.
- The biggest expense is usually the first lever, and checking it costs a task, not an analysis.
- A shared snapshot shows everyone the same number instead of three versions on three slides.
- Whether growth comes from new or loyal customers changes where you spend time and budget.
No real data
What the preview doesn't do.
- Preview
- Fictional examples
- Your data stays where it is
Available in the preview
Question, pivot and task exist today.
In the Peak Analytics preview you evaluate orders, receipts, tasks, goals and files as a pivot: rows, columns, measure, day to year. The largest value shows with its share of the total, „Check“ turns it into a task, and you share a released snapshot by link or export it as CSV. Tasks from Peak Work are one of the five Peak Analytics sources, and „Check“ turns a finding into a task of its own there, with a link back to the evaluation.
Look at Peak WorkPeak Analytics / Your next step
Numbers before they get expensive.
See how a fictional startup answers its first monthly question.
See the first numbers with an example
Numbers before they get expensive.
„Are our buyers new or returning customers?“ → CSV for the investor meeting
Frequently asked questions
Is Peak Analytics finished?
Peak Analytics is available as a preview. What this page describes as available exists in the preview; examples with company names and numbers are fictional.
Do I have to set up tracking first?
No. Peak Analytics evaluates what is in your Peak apps: orders, receipts, tasks, goals and files.
Can I share numbers with investors?
Yes, as a released snapshot by link that you can refresh or revoke, or as CSV within your plan's export allowance.
Are there MRR or churn evaluations?
Not yet. Evaluations from subscription data are planned; today you see income from receipts per client and month.