---
title: "Measure a launch | Skene"
description: "Describe what you are shipping and Skene writes the plan: the outcome, the questions the data has to answer, and the signals that must exist to answer them."
url: https://www.skene.ai/product/measurement
doc_version: "4fb1c2a91826"
last_updated: 2026-09-16
---

Measure a launch

# Make your next launch measurable.

Describe the change and what you expect it to do. Skene drafts the measurement plan, finds the signals still missing, and reads the result after launch.

[Start free](https://www.skene.ai/signup) [See how plans work](https://www.skene.ai/resources/docs/cloud/evaluator)

No card required. Sign in, connect a source, describe what you are shipping.

Illustrative product view. One document connects plan, evidence and result.

**Trial activation**

plan

target **4.0%**

required evidence

setup_completed account_id

Supabase PostHog Mixpanel BigQuery Resend

Before launch

## The plan names what is missing.

Verification checks each required event and field against the available evidence. Ready, missing and unverified describe different situations. A named requirement tells your team what needs attention.

Illustrative product view. The check names the missing evidence.

plan

setup_completed

event

account_id

user_id

plan

source

events + fields 5/5

Ready

check

After launch

## See whether your launch is moving toward its goal.

Follow the milestones you defined in your plan. See which features users are adopting, where progress stalls, and whether activation is moving toward your target.

Illustrative product view. Tracked milestones connect feature use to activation. Sample activation rises from 3.2% to 3.8%, below the 4.0% target.

Activation experiment Latest cohort · 1,000 new users

1. 01 Connected a source 120 users 12.0% of cohort

2. 02 Created a workflow 76 users 7.6% of cohort

3. 03 Completed first run 38 users 3.8% of cohort

Activated = completed all three milestones within seven days.

Activation rate **3.8%** Moving toward the 4.0% target Target not yet reached

Up 0.6 percentage points from before launch.

3.2%

3.5%

3.8%

Before launch Launch week Following week

Each cohort has a full seven days to activate.

Milestone counts include every preceding step. Change shows direction, not what caused it.

The next launch

## Start the next version with the evidence still attached.

A check can suggest a Next version focus. Keep the previous plan on the record while you decide what to test next.

Keep the result. Change the next hypothesis.

Create next version preserves the previous hypothesis and verification results. The new version is where the next change belongs.

Illustrative product view. Plan progress and measured results are separate.

plan

Launch ready

5/6 workflow

FAQ

## Before you describe what you're shipping.

The questions a plan owner asks first.

What happens after I click Start free?

Sign in, create a workspace and connect a source. The free audit shows what your product already collects. A plan scopes the evidence to a change you want to launch.

What does the GitHub App and Supabase connection touch?

The GitHub App requests read and write permissions so it can post reviews and propose fixes. It never pushes to your default branch. Supabase access starts read-only and can be upgraded to read-write if you choose.

What does the free tier include?

The free audit returns one audit of what your product collects, once per workspace, with no card required.

What happens once the after-launch Check needs real data?

The plan needs a success formula and data for its inputs. Finding an event in code does not create a metric value. Run check uses the data available for the reporting window and shows where each input came from.

## Give the next launch a result you can read.

[Start free](https://www.skene.ai/signup) [See the release check](https://www.skene.ai/product/features)

## Sitemap

- [Markdown sitemap](https://www.skene.ai/sitemap.md): every page on this site, with its markdown counterpart.
- [Index for language models](https://www.skene.ai/llms.txt): the same set as a link-dense index.
- [Full corpus](https://www.skene.ai/llms-full.txt): reference content concatenated as plain text.