Outcome-First Decisions: Keep, Change, or Kill

📊 Full opportunity report: Outcome-First Decisions: Keep, Change, or Kill on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

TL;DR

Outcome-First Decisions is a framework that guides organizations to assess whether to keep, change, or kill initiatives based on current outcomes and costs. It emphasizes pruning to improve efficiency.

A new decision-making framework called Outcome-First has been introduced, which guides organizations to evaluate ongoing initiatives based on their current outcomes and costs, rather than past investments or emotional attachment.

Outcome-First is designed to address the common problem of organizations maintaining projects that no longer deliver value, often due to sunk costs and emotional biases. The framework employs a ‘Worth Filter’ that judges each initiative solely on its present outcome versus its ongoing cost, leading to one of three verdicts: keep, change, or kill.

It is open-source under the AGPL-3.0 license and emphasizes local-first, provider-agnostic implementation, allowing organizations to review and decide frequently without significant cost. The framework aims to institutionalize the discipline of stopping, which is often overlooked despite its high leverage for efficiency.

Outcome-First Decisions — Keep, Change, or Kill · Built in Public Day 8/19
Built in Public · Day 8 / 19 ThorstenMeyerAI.com · the operator portfolio
The Decision Layer · Day 08 Dispatch

Outcome-First Decisions — keep, change, or kill

The hardest decision isn’t what to start — it’s what to stop. Judge every initiative by the outcome it produces now, not the effort already spent.

01 The Worth Filter
The Worth Filter
is the outcome worth the ongoing cost?
judged forward (outcome) — not backward. Ignored: sunk cost · effort spent · identity
✓ Keep
Affiliate cluster A
compounding revenue
Channel E
reach still growing
↻ Change
Product C
right problem, wrong shape
alter deliberately — don’t drift
✕ Kill
Experiment B
flat · high upkeep
Side project D
zero traction · sunk cost
3verdicts: keep · change · kill outcomesthe only input that counts AGPLopen source · local-first
02 Why stopping is the leverage
kill
the verdict everything in human nature avoids — made normal, not a failure.
forward
judge what it will produce next, not what you’ve already spent. Sunk cost is gone either way.
capacity
killing dead work reclaims the focus and capital trapped in it — the cheapest growth there is.
03 The thesis the whole series inherits
01
Local-first
Reviews run on owned compute — cheap enough to run as often as honesty requires.
02
Provider-agnostic
The reasoning isn’t welded to one model. Swap freely; no lock-in.
03
Non-developer build
A small, opinionated framework — AGPL-3.0, open so the method stays inspectable.
04
Edit by subtraction
The whole product is subtraction — killing what no longer earns its place.
04 The operator constellation
18 products · one foundation
Today: Outcome-First lit — the keep/change/kill review that closes the loop. The Decision layer is complete: validate → plan → review.
Content
DojoClaw
RoundupForge
Stenvrik
ChannelHelm
IdeaNavigator
Decision
IdeaClyst
Threlmark
Outcome-First
Platform
Grimfaste
Delvasta
Open / Reg
Glasspane
QAtrial
Markets
Polybot
TradingAgents
Defense / Intel
Argus
VigilSAR
VigilSAR-Bench
Diagnostic
World Model Readiness
Local-first · Provider-agnostic foundation

Independent commentary, produced with AI assistance under human editorial oversight. The views are the author’s own and may change. Outcome-First Decisions is open source under AGPL-3.0, provided “as is” without warranty; see the repository LICENSE. The framework’s verdicts are reasoning aids based on the inputs given and may be wrong — decision support, not decisions; verify independently before acting. Product and company names are trademarks of their respective owners; mention does not imply endorsement.

ThorstenMeyerAI.com · Built in Public · Day 8 of 19 · © 2026 Thorsten Meyer

Why Outcome-First Decisions Impact Organizational Efficiency

This framework matters because it offers a structured approach to pruning ineffective projects, freeing up resources and focus for more valuable initiatives. By making the decision to kill easier, organizations can reduce hidden costs of maintaining dead projects, such as diverted attention and opportunity costs, ultimately improving agility and strategic alignment.

Amazon

project evaluation tools

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The Challenge of Maintaining Dead Projects in Portfolios

Many organizations accumulate a long tail of ongoing projects that neither succeed nor are actively terminated. These initiatives continue to consume attention, capital, and effort, often justified by sunk costs or emotional attachment. Traditional evaluation methods tend to focus on past investments rather than current value, leading to inefficiencies. Outcome-First aims to change this by focusing solely on present outcomes and costs, encouraging regular pruning.

“The hardest decision in any portfolio isn’t what to start. It’s what to stop.”

— Thorsten Meyer, creator of Outcome-First

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decision making framework software

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Limitations and Risks of Outcome-Based Judgments

It remains unclear how effectively organizations will implement and adhere to Outcome-First, especially in cases where outcomes are slow to materialize or difficult to measure. There is also concern that the framework could lead to premature termination of projects with long-term potential, or that outcome metrics could be gamed or mismeasured.

Amazon

outcome-based project management tools

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Adoption and Integration into Organizational Processes

Organizations interested in Outcome-First are expected to pilot the framework, integrate it into regular portfolio reviews, and refine their outcome metrics. Further development may include tooling support for automated outcome assessment and broader community feedback to address challenges in measurement and decision-making.

Amazon

resource optimization tools for organizations

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Key Questions

How does Outcome-First differ from traditional project evaluation?

It focuses solely on current outcomes versus ongoing costs, disregarding past investments and emotional attachments, to make clear kill/change/keep decisions.

Is Outcome-First suitable for all types of projects?

It is designed for portfolio management but may require adaptation for projects with long-term or slow-to-materialize outcomes.

Can Outcome-First prevent organizations from prematurely killing valuable initiatives?

While it emphasizes outcome-based judgment, careful metric selection and contextual judgment are still necessary to avoid premature termination.

Is the framework open for modification?

Yes, it is open-source under AGPL-3.0, allowing organizations to adapt and extend it as needed.

Source: ThorstenMeyerAI.com

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