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 evaluate initiatives by their current outcomes, recommending to keep, change, or kill. It emphasizes pruning to improve focus and capacity. The approach is open source and aims to address the common problem of ongoing, unproductive commitments.

A new decision framework, Outcome-First Decisions, is gaining attention for its focus on evaluating ongoing initiatives solely based on current outcomes, urging organizations to prune unproductive commitments to improve efficiency and capacity.

Outcome-First Decisions is an open-source framework designed to address the challenge of maintaining a portfolio of initiatives that often includes many that are neither succeeding nor being actively terminated. It introduces the Worth Filter, a mechanism that prompts decision-makers to judge whether an initiative’s current outcome justifies its ongoing costs, rather than relying on past investments or emotional attachment.

The framework produces three verdicts: keep, change, or kill. The emphasis is on making the kill decision easier, as it is often the hardest to enact but can free up resources for more valuable work. It operates as a final review step in a portfolio management cycle, closing the loop after ideas are generated and plans are executed, ensuring continuous pruning.

Designed to run locally on owned infrastructure and under the AGPL-3.0 license, the framework promotes transparency and openness, allowing organizations to adapt and extend it while maintaining open standards. However, experts warn that outcome measurement can be gamed or misjudged, and emotional biases may still hinder difficult decisions despite the framework’s objectivity.

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 Pruning Portfolio Commitments Matters

The Outcome-First framework addresses a critical issue in portfolio management: the tendency to continue supporting initiatives that no longer deliver value. By focusing on current outcomes, organizations can reduce wasted effort, reallocate resources more effectively, and prevent their capacity from being drained by dead or declining projects. This disciplined approach promotes agility and better strategic focus, especially in fast-changing environments where maintaining only high-value initiatives is vital.

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portfolio management decision software

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The Challenge of Maintaining Active Portfolios

Many organizations struggle with a long tail of ongoing projects, products, or commitments that persist without clear success. These ‘zombie’ initiatives consume attention, maintenance, and capital, often justified by sunk costs or emotional attachment. Traditional decision-making processes tend to favor continuation over termination, leading to resource drain and strategic drift. The Outcome-First approach offers a structured way to address this problem by providing a clear, outcome-based decision point.

“Outcome-First Decisions is about judging every initiative by its current outcome, not past effort or attachment, making it easier to kill what no longer serves the organization.”

— Thorsten Meyer, creator of the framework

Amazon

outcome measurement tools for organizations

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As an affiliate, we earn on qualifying purchases.

Limitations and Risks of Outcome-Based Judgments

While the framework promotes objective evaluation, it relies heavily on accurate measurement of outcomes, which can be subjective or gamed. There is also a risk of premature killing of initiatives that develop slowly, and the emotional resistance to ending projects remains a challenge. It is not yet clear how organizations will implement safeguards against these pitfalls or adapt the framework for complex, multi-dimensional success metrics.

Amazon

project evaluation and pruning tools

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Adoption and Refinement of the Outcome-First Approach

Organizations interested in this framework are expected to pilot it within their portfolios, adapting the metrics and decision thresholds as needed. Further development may include integrating outcome measurement tools and refining the Worth Filter to better handle slow-start projects. Broader adoption could lead to industry standards for portfolio pruning, but empirical evidence of its effectiveness remains limited at this stage.

Amazon

decision-making software for business initiatives

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Key Questions

How does Outcome-First Decisions differ from traditional portfolio reviews?

It emphasizes evaluating initiatives solely based on their current outcomes and costs, rather than past investments or emotional attachment, making termination decisions clearer and more objective.

Can this framework be applied to all types of projects?

While designed to be provider-agnostic and flexible, its effectiveness depends on the ability to measure outcomes accurately, which may vary across project types.

What are the main risks of using Outcome-First Decisions?

The primary risks include misjudging outcomes, prematurely killing slow-developing initiatives, and emotional resistance to ending projects, which can undermine its benefits.

Is Outcome-First Decisions suitable for large organizations?

Yes, especially for organizations managing diverse portfolios, as it provides a structured, repeatable process for pruning unproductive initiatives.

Source: ThorstenMeyerAI.com

This content is for general information only and is not financial, tax or legal advice. Consult a qualified professional for decisions about your money.
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