AIThis post was created with the assistance of artificial intelligence (AI).

📊 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. It aims to improve portfolio management by focusing on results rather than sunk costs or effort. The approach is open source and designed to foster disciplined pruning of ongoing projects.

A new decision-making framework called Outcome-First Decisions has been introduced to help organizations evaluate ongoing initiatives based solely on their current outcomes, encouraging disciplined pruning of projects that no longer justify their costs.Outcome-First Decisions is a small, open-source framework that guides organizations to make clear decisions about their initiatives by asking: what is the current outcome, and is it worth continuing? It introduces the Worth Filter, which eliminates emotional biases and sunk cost fallacies by focusing on forward-looking results. The framework produces three verdicts: keep, change, or kill, with a bias toward making kill decisions straightforward. It is designed to be provider-agnostic, runs locally on owned compute, and is licensed under AGPL-3.0 to ensure openness. The approach aims to address the common problem of ongoing projects that drain resources without producing value, emphasizing the importance of pruning over constant addition.
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 framework offers a disciplined method for organizations to cut dead weight in their project portfolio, potentially freeing up capacity and resources. By focusing on current outcomes rather than sunk costs or effort, it promotes more rational decision-making, reduces the risk of maintaining ineffective initiatives, and enhances overall efficiency. Its open-source nature encourages widespread adoption and transparency, which could influence how organizations approach project evaluation and resource allocation.
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project portfolio management software

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The Challenge of Continuing Unproductive Initiatives

Many organizations accumulate ongoing projects that neither succeed nor are actively terminated, often justified by sunk costs, identity, or effort. These ‚zombie‘ initiatives consume attention, capital, and focus, hindering growth and innovation. The problem is compounded by emotional biases and reluctance to kill projects, even when data suggests they no longer add value. The Outcome-First framework aims to address this by providing a clear, outcome-focused decision process, filling a gap in traditional portfolio management practices.

„Outcome-First Decisions is about stopping what no longer produces value, not just starting new initiatives. It’s a disciplined way to prune a portfolio and reclaim capacity.“

— Thorsten Meyer, source developer of the framework

Amazon

decision-making framework tools

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Limitations and Risks of Outcome-First Decisions

It is not yet clear how accurately the framework measures outcomes or how it performs in complex, slow-start projects. There is a risk of misjudging slow but valuable initiatives as failures, and emotional biases may still influence decisions despite the framework’s design. The effectiveness depends heavily on selecting appropriate metrics and honest assessment, which can be challenging.
Amazon

outcome-based project evaluation software

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Next Steps for Adoption and Refinement

Organizations are encouraged to pilot the framework in their portfolios to evaluate its effectiveness. Developers plan to gather feedback, refine the metrics used for outcomes, and promote wider adoption through documentation and community engagement. Further research may explore integrating the framework with existing portfolio management tools and practices.
Amazon

resource pruning tools for organizations

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Key Questions

How does Outcome-First Decisions differ from traditional project evaluation?

It focuses solely on current outcomes and future worth, rather than past investments or effort, making it more objective and outcome-driven.

Can the framework help prevent premature killing of slow-start projects?

While it encourages outcome-based judgments, it cannot fully account for slow or gradual successes. Careful metric selection is essential to avoid premature termination.

Is the framework applicable to all types of projects?

It is designed to be provider-agnostic and adaptable, but its effectiveness depends on defining appropriate outcomes for different project types.

How easy is it to implement this framework in an existing organization?

Since it runs locally on owned compute and is open source, implementation can be straightforward, especially for organizations familiar with portfolio review processes.

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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