Design what you sell, and keep what it earns

Value creation decides what we make, whether that is software, a service or a course. It designs each offer once, or once per version, before anyone sells it.
Join the waitlist
The Value creation factory's slab raised out of the hexagon, carrying its objects
Value creationSystemsStrategyExecutionAutonomy

AI can build a feature in an afternoon. Which one should it build?

Making things got cheap. Choosing what to make, and checking it works, did not.

  1. Feedback lost in chats

    What clients ask for lives in calls, emails and Slack, and never in one list.

  2. The roadmap follows the loudest voice

    Without the problems in one place, the last request wins.

  3. Releases break things

    Nobody agreed how a release is checked, so clients find the bugs.

Autonomy is the top layer, not the first

An AI employee can only take over Value creation work that already runs on a system and a decision. Each layer stands on the one below it.

Systems
The tools, data and processes it runs on
Strategy
The decisions of the factory
Execution
The lines where the work happens
Autonomy
AI and automation that take the work over

The creation engine

From feedback to a release and back: the AI employee collects and researches, your team decides and builds, every release is checked.

  1. Feedback in one inbox (Store, Your systems)
  2. Research and group the problems (Step, AI employee)
  3. Decide what to build (Condition, Your team)
  4. Build (Step, Your team)
  5. Check against the checklist (Condition, AI employee)
  6. Release (Step, Your systems)

What must be true before an AI employee builds for you

Autonomy in Value creation is earned on these: the offer described, a roadmap with owners and a check for every release.

The offer described once
What you make, whether software, a service or a course, and its parts.
A roadmap with owners
Built from client problems, with a name on each item.
How a release is checked
The checklist every release or delivery passes before a client sees it.

The Value creation toolkit in your workspace

The documents and apps the team and the AI employee work from.

Offer catalogue
Everything you make, with its parts and its price.
Roadmap
What comes next, why, and who owns it.
Release checklist
The checks a release passes, every time.
Feedback inbox
Every request and problem, from every channel, in one list.

Decide what we sell, once

Value creation is the factory that decides what we make. The platform runs it in four layers: Systems holds the tools, data and processes; Strategy holds the decisions, each logged with its reason; Execution runs the three lines Discovery, Development, and Launch and improvement; and Autonomy gives routine work to the Value creation AI employee.

Main number: gross margin

Gross margin is what is left of revenue after the direct cost of making and delivering the offer, as a share of revenue. It is the main number of Value creation. Drivers feed it, and a target sits on it.

Questions

The library

The plays, tools and books to start with

Each one is a page of its own, with the plays and tools it links to.

Playbooks

Tools

Books