📊 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 solely on current outcomes. It aims to improve portfolio management by reducing sunk costs and increasing focus.

A new decision-making framework, Outcome-First Decisions, is emerging as a tool to help organizations evaluate ongoing initiatives based solely on their current outcomes, regardless of past investments. This approach emphasizes stopping unproductive projects to reclaim capacity and improve overall efficiency.

Outcome-First Decisions is a framework designed to address the common problem of organizations continuing initiatives that no longer produce value. It introduces the Worth Filter, a mechanism that forces decision-makers to judge whether an initiative’s current outcome justifies its ongoing cost. The framework offers three verdicts: keep, change, or kill. It is open source under the AGPL-3.0 license and is intended to be provider-agnostic and local-first, enabling frequent and honest portfolio reviews without additional cost or reliance on specific platforms.

The core principle is to shift focus from past investments and effort to forward-looking outcomes, reducing the bias toward continuation rooted in emotional attachment, sunk costs, or identity. Its design aims to make the ‘kill’ decision easier by removing the usual psychological barriers and providing a clear, outcome-based rationale for pruning projects that no longer justify their 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 framework matters because it tackles the persistent challenge of organizational inertia and the tendency to keep unproductive initiatives alive. By focusing exclusively on current outcomes, it promotes more disciplined portfolio pruning, freeing up resources for new or more valuable projects. This can lead to increased agility, reduced waste, and better strategic alignment, especially in environments where capacity is limited and sunk costs are high.

Adopting Outcome-First Decisions could significantly change how organizations manage their project pipelines, shifting the culture from preservation of past efforts to a more dynamic, outcome-oriented approach. However, its effectiveness depends on accurate measurement of outcomes and the willingness of decision-makers to act against emotional or political pressures.

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The Challenge of Continuing Unproductive Initiatives

Many organizations struggle with the long tail of ongoing projects that neither succeed nor are formally terminated. These initiatives consume attention, maintenance, and capital, often justified by sunk costs or organizational identity. The problem is exacerbated by psychological biases that favor continuation and the difficulty of making objective termination decisions.

Traditional decision processes often rely on backward-looking metrics like effort invested, making it harder to justify stopping. Outcome-First Decisions introduces a forward-looking approach, emphasizing current results to guide pruning, which aligns with recent trends in portfolio management and operational discipline.

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

— Thorsten Meyer, author of the framework

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How to Measure Anything in Project Management

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Limitations and Risks of Outcome-First Judgments

While the framework promotes objective decision-making, it relies heavily on accurate measurement of outcomes. There is a risk of misjudging or gaming these metrics, which could lead to prematurely killing valuable initiatives or maintaining unproductive ones. Additionally, emotional and political factors may still influence decisions despite the framework’s guidance. It is also unclear how well this approach performs in complex, slow-start projects or in highly uncertain environments.

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Adoption, Testing, and Refinement of the Framework

Organizations interested in Outcome-First Decisions are encouraged to implement the open-source framework and adapt it to their portfolios. Future steps include gathering empirical data on its effectiveness, refining outcome metrics, and developing best practices for balancing outcome measurement with organizational culture. Wider adoption and case studies will help determine its practical impact and identify potential improvements.

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Key Questions

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

It shifts the focus from past investments and effort to current outcomes, making it easier to justify stopping initiatives that no longer produce value.

What are the main challenges in applying this framework?

The biggest challenges include accurately measuring outcomes, overcoming emotional biases, and resisting political pressures to continue projects.

Is the framework suitable for all types of projects?

It is most effective when clear, measurable outcomes are available. Slow-start or highly uncertain projects may require additional judgment and context.

Can this framework be integrated with existing decision processes?

Yes, it is designed to complement existing planning and review cycles, providing a final decision layer focused on outcome-based pruning.

Source: ThorstenMeyerAI.com

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