Outcome-First Decisions: Keep, Change, or Kill

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TL;DR

Outcome-First Decisions is a framework that guides organizations to evaluate initiatives by current outcomes, recommending whether to keep, change, or kill. It aims to improve portfolio management by emphasizing pruning and outcome-based judgment.

A new decision framework, Outcome-First Decisions, is being promoted as a way for organizations to evaluate and prune their ongoing initiatives based on current outcomes rather than past investments or emotional attachment.

The framework introduces the Worth Filter, which assesses whether an initiative’s current outcome justifies its ongoing costs. It returns one of three verdicts: keep, change, or kill. The primary goal is to prevent organizations from continuing projects that no longer produce valuable results, thereby freeing capacity for more productive efforts.

Outcome-First Decisions emphasizes local, provider-agnostic implementation under an open-source AGPL-3.0 license. It acts as a final decision node in a portfolio management cycle, closing the loop after ideation and planning stages, and focuses on outcome-based judgment rather than effort or sunk costs.

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 Reshape Portfolio Management

This approach matters because it directly addresses the common problem of organizations maintaining projects or initiatives long after they have ceased to be valuable. By focusing on current outcomes, it promotes more efficient use of resources, reduces hidden costs associated with ongoing maintenance, and encourages disciplined pruning. This can lead to more agile, focused organizations capable of reallocating capacity toward high-value activities.

The New Dynamic of Portfolio Management: Innovative Methods and Tools for Rapid Results

The New Dynamic of Portfolio Management: Innovative Methods and Tools for Rapid Results

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The Challenge of Maintaining Dead Projects

Many organizations struggle with a long tail of ongoing projects or commitments that drain attention and resources without delivering meaningful results. Traditional decision-making often relies on emotional attachment or sunk costs, making it difficult to stop initiatives that are no longer effective. Outcome-First Decisions seeks to formalize the process of evaluating ongoing initiatives based solely on their current outcomes.

The framework builds on the understanding that the hardest decision in portfolio management is often to stop something, yet doing so is essential for capacity and growth. It is designed as a routine part of portfolio review cycles, complementing earlier stages of idea generation and planning.

“Outcome-First Decisions is a small, opinionated framework built to spring the trap of continuing dead initiatives, judged solely by their current outcome.”

— Thorsten Meyer, source of the framework

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Limitations and Risks of Outcome-First Judgments

It remains unclear how accurately organizations can measure and interpret outcomes, especially for long-term or slow-start initiatives. The framework’s effectiveness depends on choosing appropriate metrics, which can be subjective or gamed. There is also a risk of premature killing of projects that require more time to mature, and the framework cannot provide emotional courage or override human biases.

Amazon

project pruning decision framework

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Implementation and Adoption Challenges

Organizations interested in Outcome-First Decisions are likely to pilot the framework within specific portfolios to evaluate its effectiveness. Future developments may include tools for better outcome measurement and integration with existing portfolio management systems. Widespread adoption will depend on demonstrating clear benefits and addressing concerns about measurement accuracy and emotional resistance.

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Developing Outcomes-Based Assessment for Learner-Centered Education: A Faculty Introduction

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Key Questions

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

It emphasizes evaluating ongoing initiatives based solely on current outcomes, rather than past investments or emotional attachment, and recommends immediate action—keep, change, or kill—based on those outcomes.

What are the main challenges in applying this framework?

Accurately measuring outcomes, avoiding premature killing of slow-start projects, and overcoming emotional resistance to stopping initiatives are key challenges.

Is the framework suitable for all types of projects?

While designed to be provider-agnostic and flexible, its effectiveness depends on clear outcome metrics and honest assessment, which may vary across project types.

Will this framework eliminate all ongoing dead projects?

No, it provides a disciplined approach to decision-making, but human judgment and emotional factors still influence final decisions.

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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