📊 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 ongoing initiatives based on current outcomes, making clear whether to keep, change, or kill them. It emphasizes outcome-focused judgment over sunk costs and emotional attachment.

A new decision-making framework called Outcome-First Decisions has been introduced to help organizations determine whether to keep, change, or kill ongoing initiatives based solely on current outcomes and costs.

The framework, developed by Thorsten Meyer, emphasizes evaluating initiatives by their present results rather than past investments or emotional attachment. It introduces the Worth Filter, a decision mechanism that forces teams to assess whether an initiative’s current outcome justifies its ongoing costs, leading to three possible verdicts: keep, change, or kill.

This approach aims to address the common problem of portfolios accumulating projects that neither succeed nor are discontinued, often due to sunk cost bias and emotional inertia. The framework is open source under the AGPL-3.0 license and is designed to be used locally, making it accessible for frequent review without additional costs.

It is positioned as the final decision node in a portfolio management process, closing the loop by routinely pruning initiatives that no longer produce sufficient value, thereby freeing capacity for new or more productive efforts.

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 Portfolio Management and Organizational Efficiency

This framework offers a structured approach to stopping initiatives that drain resources without delivering sufficient results, potentially increasing organizational agility and resource allocation efficiency. By making kill decisions easier and more rational, it can help prevent portfolio bloat and focus efforts on high-impact projects. However, its success depends on accurate outcome measurement and willingness to act on the verdicts, which may be hindered by emotional or political resistance.

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Existing Challenges in Portfolio Decision-Making

Many organizations struggle with the tendency to continue supporting projects that are no longer effective, often due to sunk cost bias, organizational inertia, or emotional attachment. Traditional decision processes tend to focus on starting new initiatives rather than pruning existing ones, leading to resource strain and reduced agility. The Outcome-First framework addresses these issues by providing a disciplined, outcome-oriented method for portfolio review, filling a critical gap in management practices.

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

— Thorsten Meyer

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Limitations of Outcome Measurement and Emotional Resistance

It remains unclear how effectively organizations can implement outcome-based judgments, especially when metrics are mismeasured or manipulated. Additionally, emotional and political resistance may prevent decision-makers from acting on clear kill verdicts, regardless of the framework’s recommendations. The framework also does not inherently provide the courage needed to make tough decisions, leaving implementation challenges.

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Adoption, Testing, and Refinement in Real-World Contexts

Organizations are encouraged to adopt the open-source framework for regular portfolio reviews, testing its effectiveness in various contexts. Further development may include refining outcome metrics and addressing organizational barriers to decisive action. Monitoring how the framework influences portfolio health and resource allocation over time will be key to understanding its practical impact.

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outcome-based decision tools

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Key Questions

How does the Outcome-First framework differ from traditional portfolio reviews?

It emphasizes evaluating initiatives based on current outcomes and costs, rather than past investments or emotional attachment, and provides a clear verdict of keep, change, or kill.

Can this framework be applied to all types of projects?

While designed to be provider-agnostic and flexible, its effectiveness depends on accurate outcome measurement and organizational willingness to act on verdicts.

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

Overcoming emotional resistance, ensuring accurate outcome metrics, and maintaining discipline in regular reviews are key challenges.

Is the framework suitable for small organizations?

Yes, its local-first design allows for adaptable implementation, but organizational culture and decision-making processes will influence success.

Where can I access the framework?

The framework is open source and available on GitHub under the AGPL-3.0 license.

Source: ThorstenMeyerAI.com

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