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

TL;DR

A new framework called Outcome-First Decisions guides organizations to assess whether to keep, change, or kill initiatives based on current outcomes. It aims to improve portfolio management by prioritizing results over sunk costs. The approach emphasizes regular review and decisive action to prevent resource drain.

A new decision-making framework called Outcome-First Decisions has been released, offering organizations a structured way to evaluate ongoing initiatives based solely on their current outcomes.

Outcome-First Decisions is an open-source framework designed to help organizations determine whether to keep, modify, or terminate projects, products, or commitments. It introduces the Worth Filter, which assesses initiatives by their present results rather than past investments, encouraging disciplined pruning of resources. The framework emphasizes local-first, provider-agnostic implementation, and aims to prevent portfolio stagnation caused by ongoing but unproductive initiatives. It is intended to be used regularly to maintain a healthy, efficient project portfolio, especially in complex operational environments.
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

Implications for Organizational Portfolio Management

This framework addresses a common challenge in organizations: the tendency to continue supporting initiatives that no longer deliver value due to emotional attachment or sunk costs. By focusing on current outcomes, it promotes more disciplined resource allocation, reduces waste, and helps organizations adapt more rapidly to changing priorities. Its open-source nature encourages widespread adoption and transparency in decision-making, potentially transforming how organizations manage their projects and commitments.
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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Background on Decision-Making and Portfolio Pruning

Organizations often struggle with the ‘dead project’ problem, where initiatives continue consuming resources without delivering meaningful results. Traditional decision-making processes tend to be backward-looking, emphasizing past investments rather than current performance. The Outcome-First approach builds on the idea that stopping unproductive initiatives is the highest-leverage decision, yet it remains one of the hardest due to emotional and organizational biases. The framework was developed to formalize this process and make it routine, especially in environments managing numerous concurrent projects.

“The hardest decision in any portfolio isn’t what to start. It’s what to stop. Outcome-First Decisions provides a clear, disciplined way to make that choice based on current results.”

— Thorsten Meyer, creator of the framework

Limitations and Risks of Outcome-First Decisions

It remains unclear how accurately organizations can measure and interpret outcomes, especially in complex or slow-moving initiatives. The framework relies heavily on choosing appropriate metrics, and misjudgments could lead to prematurely killing valuable projects or sustaining unproductive ones. Additionally, the framework does not address the emotional or political resistance that can hinder decisive action, and its effectiveness depends on disciplined implementation and honest evaluation.

Next Steps for Adoption and Refinement

Organizations interested in Outcome-First Decisions are encouraged to review the open-source implementation and adapt it to their portfolios. Further development may include case studies demonstrating its application in different environments, as well as tools to better measure outcomes. Continuous iteration and community feedback will be vital to refining the framework’s effectiveness and addressing its limitations.

Key Questions

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

It shifts focus from past investments and effort to current outcomes, making termination decisions based solely on present results rather than sunk costs or organizational attachment.

Can this framework be applied to all types of initiatives?

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

What are the main challenges in implementing Outcome-First Decisions?

Key challenges include establishing reliable outcome metrics, overcoming emotional resistance, and maintaining disciplined, regular review processes.

Is the framework suitable for large, complex organizations?

Yes, especially if integrated into existing portfolio management practices, but success depends on organizational commitment to honest evaluation and decisive action.

Source: ThorstenMeyerAI.com

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