Outcome-First Decisions: Keep, Change, or Kill

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

TL;DR

Outcome-First is a decision framework that guides organizations to evaluate ongoing initiatives by their current outcomes and costs, recommending to keep, change, or kill. It aims to improve portfolio health by prioritizing results over sunk costs.

A new decision-making framework called Outcome-First is gaining attention for its focus on evaluating ongoing initiatives based solely on their current outcomes and costs, rather than past investments or emotional attachments. Developed by Thorsten Meyer, it offers a structured approach to help organizations decide whether to keep, modify, or terminate projects, aiming to improve portfolio efficiency and reduce waste.

Outcome-First is built around the concept of the Worth Filter, which forces decision-makers to judge initiatives by their present and projected results, ignoring sunk costs and effort justification. The framework provides three verdicts: keep, change, or kill. Its primary goal is to prevent organizations from continuing initiatives that no longer produce valuable outcomes, thereby freeing up capacity for more productive efforts.

The framework is designed to be provider-agnostic and runs on local, owned compute resources, ensuring privacy and cost-efficiency. It is open source under the AGPL-3.0 license, encouraging transparency and collaborative improvement. Outcome-First aims to close the loop in portfolio management by providing a final decision node that prevents accumulation of dead or underperforming projects.

While the framework offers a clear process, experts caution that outcome measurement can be subjective and prone to gaming. There is also a risk of premature killing of initiatives that require longer timeframes to demonstrate success. The framework does not provide judgment on the quality of outcomes, only on their current and future worth, which places responsibility on decision-makers to interpret results wisely.

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

Outcome-First addresses a common challenge in portfolio management: the tendency to keep unproductive projects due to emotional or sunk cost biases. By emphasizing current outcomes and future worth, it encourages more disciplined resource allocation and project pruning. This approach can lead to more efficient use of capital, focus, and attention, ultimately improving organizational agility and performance. Its open-source nature and local-first design make it accessible for a wide range of organizations seeking to implement more rigorous decision processes.

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Project Planner: Management Notebooks Organizer & Work Log Book Tracker With Checklist Brainstorming for Entrepreneurs, Managers & Small Business Owners

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The Need for Better Portfolio Pruning Methods

Many organizations struggle with long tail of ongoing projects that neither succeed nor are formally terminated. These ‘zombie’ initiatives drain resources and attention without delivering value. Traditional decision-making often relies on past investments or emotional attachment, making it difficult to cut losses. The Outcome-First framework responds to this issue by providing a systematic, outcome-based approach to portfolio review, emphasizing the importance of stopping projects that no longer justify their costs.

This development builds on existing practices of portfolio management and project evaluation but introduces a clear, outcome-focused decision node that aims to formalize and simplify the pruning process. It is part of a broader movement toward more disciplined, transparent governance in organizational decision-making.

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

— Thorsten Meyer

The Decision-Making Toolkit: A Practical Guide to Clear, Confident Decision-Making (The Clear Thinking Approach)

The Decision-Making Toolkit: A Practical Guide to Clear, Confident Decision-Making (The Clear Thinking Approach)

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Limitations and Risks in Applying Outcome-First

While the framework provides a clear decision process, it relies heavily on accurate measurement of outcomes, which can be subjective and prone to manipulation. There is concern that organizations might misinterpret slow-start projects as failures or prematurely kill initiatives that require more time to mature. Additionally, Outcome-First does not address the emotional or cultural resistance to stopping projects, which can hinder its effective implementation. These issues remain under discussion, and real-world results are still emerging.

Amazon

outcome measurement tools for projects

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Next Steps for Adoption and Validation

Organizations interested in Outcome-First are encouraged to pilot the framework within select portfolios to assess its practical effectiveness. Ongoing feedback from early adopters will inform refinements, especially around outcome measurement and decision thresholds. Further academic and industry validation is expected as more teams implement the framework, with potential integration into existing portfolio management tools. The open-source nature allows for community-driven improvements and broader dissemination.

How to Measure Anything in Project Management

How to Measure Anything in Project Management

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Key Questions

How does Outcome-First differ from traditional portfolio reviews?

It emphasizes evaluating initiatives based solely on their current and projected outcomes, ignoring past investments and emotional attachments, and provides a clear verdict of keep, change, or kill.

What are the main challenges in applying Outcome-First?

The primary challenges include accurately measuring outcomes, avoiding premature kills of slow-start projects, and overcoming cultural resistance to stopping initiatives.

Is Outcome-First suitable for all types of projects?

While designed to be provider-agnostic and flexible, its effectiveness depends on the ability to measure outcomes reliably, which may vary across project types and organizational contexts.

Where can I find the Outcome-First framework?

The framework is open source and available on GitHub under the AGPL-3.0 license, allowing organizations to implement and adapt it freely.

Source: ThorstenMeyerAI.com

Nothing in this article is financial or investment advice. Cryptocurrency and precious-metal investments carry significant risk — do your own research and consider a licensed advisor.
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