📊 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 by their current outcomes, recommending whether to keep, change, or kill them. It aims to improve portfolio health through disciplined pruning.

A new decision-making framework called Outcome-First Decisions is gaining attention for its approach to portfolio management, emphasizing the importance of stopping projects that no longer produce valuable outcomes. Developed by Thorsten Meyer, it offers a structured way to evaluate initiatives based solely on their current results, rather than sunk costs or emotional attachment. This approach aims to help organizations reclaim capacity and avoid the trap of continuing unproductive efforts.

Outcome-First Decisions is a small, open-source framework designed to guide organizations in making disciplined choices about their ongoing initiatives. The core mechanism, called the Worth Filter, asks a single question: given the current state, is the outcome worth the ongoing cost? Based on this, each project or initiative is classified into one of three verdicts: keep, change, or kill. The framework encourages organizations to focus on outcomes rather than effort or past investment, promoting more effective portfolio pruning.

Developed by Thorsten Meyer, the framework is provider-agnostic and runs on local compute, ensuring privacy and cost-efficiency. It emphasizes that the hardest decision—killing a project—should be made more straightforward, reducing emotional and cognitive barriers. The framework is intended to close the decision loop, preventing portfolios from accumulating dead projects that drain resources and attention.

While promising, the framework acknowledges potential risks, such as mismeasured outcomes or premature killing of slow-start projects. It also recognizes that emotional factors and bias can still influence decisions, despite the structured approach. The framework is available under the AGPL-3.0 license, encouraging open use and adaptation.

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 addresses a common challenge in organizations: the tendency to continue projects out of inertia, sunk costs, or emotional attachment. By focusing solely on current outcomes, it promotes more disciplined resource allocation and prevents capacity from being drained by unproductive efforts. Implementing such a decision process can lead to more agile, responsive organizations that can pivot or terminate initiatives quickly, freeing up resources for higher-value activities.

In a landscape where organizations manage numerous projects simultaneously, Outcome-First Decisions could significantly improve efficiency and strategic focus. It also encourages a cultural shift towards honest assessment and accountability, reducing the emotional difficulty of ending initiatives that no longer serve goals.

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The Challenge of Portfolio Bloat and the Need for Pruning

Many organizations accumulate a long tail of ongoing projects, products, or commitments that neither succeed nor are actively killed. These ‘zombie’ initiatives consume attention, capital, and focus, often justified by past efforts rather than present value. Traditional decision-making processes tend to be backward-looking, emphasizing effort and sunk costs, which makes stopping difficult.

Thorsten Meyer’s framework builds on the idea that effective portfolio management requires a disciplined approach to stopping. It offers a structured, outcome-focused method to evaluate whether ongoing initiatives still produce valuable results, thereby enabling more strategic pruning and capacity reallocation.

This approach aligns with recent discussions in management about the importance of ‘garbage collection’ in organizational portfolios, emphasizing that growth is more about removing dead wood than adding new projects.

“Outcome-First Decisions is about judging every initiative by its current outcome, not past effort or sunk costs.”

— Thorsten Meyer

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Limitations and Risks of Outcome-First Decision Framework

While promising, the framework’s effectiveness depends heavily on accurately measuring outcomes, which can be subjective or gamed. There is a risk of premature killing of slow-start projects that might eventually succeed, especially if outcome metrics are poorly chosen. Additionally, emotional and cultural resistance may still impede honest decision-making, as the framework cannot eliminate the human factors involved in stopping initiatives.

Further, it remains to be seen how organizations will adapt this approach at scale and whether it can be integrated into existing decision processes without significant friction or unintended consequences.

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Next Steps for Adoption and Validation of Outcome-First Decisions

Organizations interested in adopting the framework are encouraged to review the open-source implementation and tailor the Worth Filter to their specific context. Pilot programs could help validate its effectiveness and identify potential pitfalls. As more organizations experiment with outcome-based pruning, case studies and best practices are expected to emerge.

Additionally, further development may include refining outcome metrics and integrating the framework into broader portfolio management tools. Monitoring and feedback will be critical to ensure the framework supports sustainable, strategic decision-making.

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Key Questions

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

It focuses solely on current outcomes to judge whether initiatives should continue, rather than effort invested or past costs, promoting more disciplined pruning.

Can this framework be applied to all types of projects?

While designed to be provider-agnostic, its effectiveness depends on the ability to measure relevant outcomes accurately, which may vary across project types.

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

Accurate outcome measurement, overcoming emotional resistance, and avoiding premature killing of slow-start projects are key challenges.

Is the framework suitable for large organizations?

Yes, especially if adapted to existing decision processes, but it requires cultural buy-in and careful outcome metric selection.

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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