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PlannedThis capability is planned and not available yet. Examples are fictional; available today are pivot evaluations, CSV export and sharing.

For product teams · Planned

Which feature gets used?Event and product data: planned.

Product teams want to know which features get used, where users drop off and whether a release changed anything. That needs event and usage data. Peak Analytics is meant to evaluate it; it is planned and not built, and there is no SDK. Today the preview shows you the state of your backlog and product goals.

Put the goal into words. Add perspectives and timing right below.

Local draft · no product activation
See today's data sources

Planned, not available. Event, usage and product evaluations are specified and not built; there is no tracking SDK. Examples are fictional.

Which feature gets used?

Read the „export“ event from the product / Week × plan, count of teams / Feature with falling use as a task

01Usage02Sürümler03Today
What product teams ask

Did the release change anything?

Usage
„How many teams use the new export each week?“ → Feature with falling use as a task
Sürümler
„Does the new onboarding change how many users create their first course?“ → Result in the shared snapshot for the product team
Today
„How many backlog tasks have waited weeks for approval?“ → Week with the biggest backlog as „Check“
Concept with fictional businesses · planned, not the product interface
For product teams · PlannedUsage → Releases → Today

Your question

Which product question do you want to answer with numbers first?

Answering that takes events from the product: who uses which feature when. Peak Analytics reads no events today; the source is planned. The example runs only in this browser window; the evaluation it describes is planned.

Local working example · nothing is saved or sent. Please don't enter personal data.

Peak Analytics / Start noteLOCAL DRAFT
01 / Your thoughts
02 / Your start noteLocal preview

Three details. One clear evaluation question.

Draft · not yet put together

Soru
Still open
Data basis
Still open
Next step
Still open
Your input appears here right away. With “View the start note” you check the three details locally.

Two fictional situations

Which product question do you want to answer with numbers first?

Two fictional product teams show the planned evaluation; the third example shows what works today.

Planwerk App (fictional)

„How many teams use the new export each week?“

The action
Week × plan, count of teams
The intent
Feature with falling use as a task
Working example / Usage

Usage

Soru
How many teams use the new export each week?
Peak Analytics is meant to
Read the „export“ event from the product
Why
Without a defined event, „usage“ would be an estimate; the tracking plan makes it countable.
Editorial structure sketch · not a customer reference

Two fictional situations make the planned idea tangible. Below is what of it exists today.

To the source and limit

Is this for you?

Measure what matters first.

Which feature gets used?
Event and product data: planned.

This is where Peak Analytics helps.

  • Without a defined event, „usage“ would be an estimate; the tracking plan makes it countable.
  • Before and after only compare when the same event is counted the same way.
  • The preview answers this one already: tasks are a source, product events are not yet.
PlannedFictional examples

No real data

What doesn't exist yet.

  • Planned, not available
  • No SDK, no tracking
  • What works today

What already exists today

The Peak Analytics preview already exists.

This page describes a planned capability. In the preview today: pivot evaluations over orders, receipts, tasks, goals and files, the largest value with its share, „Check“ as a task, CSV export and sharing a released snapshot. The planned part is meant to build on that. 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 Work

Peak Analytics / Your next step

Measure what matters first.

Look at today's five data sources and what they already tell you about your backlog and product goals.

See today's data sources
Local working example

Measure what matters first.

„How many backlog tasks have waited weeks for approval?“ → Week with the biggest backlog as „Check“

Frequently asked questions

Can I use this in Peak Analytics yet?

No. This capability is planned and not built yet; there is no launch date. Available today is the Peak Analytics preview: pivot evaluations over orders, receipts, tasks, goals and files with CSV export and sharing.

Is there an SDK or API?

No. Peak Analytics collects no events from apps or websites today; API and SDK are planned.

How do I prepare?

With a tracking plan: which events count, what they are called and what they mean. The guide explains the approach.

What can a product team evaluate today?

The product board's tasks by status and week and product goals by status and level.