📊 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 in evaluating ongoing initiatives by their current outcomes, encouraging pruning of underperforming projects. It emphasizes stopping or altering projects based on their present value rather than past investments.

A new decision-making framework, Outcome-First Decisions, has been introduced to help organizations evaluate whether ongoing initiatives should be continued, modified, or terminated based on their current outcomes. Developed as an open-source tool under AGPL-3.0, it aims to address the common problem of organizations maintaining projects that no longer add value, thereby freeing up resources and capacity.

Outcome-First Decisions is a framework that requires organizations to judge each initiative solely on its current results and whether those results justify ongoing costs. It introduces the Worth Filter, a mechanism that prompts decision-makers to focus on future outcomes rather than past investments or emotional attachments. The framework categorizes decisions into three verdicts: keep, change, or kill. It is designed to be provider-agnostic and runs locally, allowing frequent reviews without additional costs. The goal is to prevent portfolio bloat by systematically pruning underperforming projects, which often continue due to sunk costs, identity, or effort justification, rather than actual value.

Developed by Thorsten Meyer, the framework emphasizes that the hardest decision in managing a portfolio is often to stop projects that are no longer valuable. By focusing on outcomes, it seeks to make killing projects easier and more rational. However, the framework also acknowledges risks, such as mismeasured outcomes, premature killing, and emotional resistance. It is intended to be a discipline that closes the decision loop, ensuring continuous evaluation and pruning of projects, thereby maintaining a lean and effective portfolio.

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 addresses a common organizational challenge: the tendency to maintain projects that no longer produce value, leading to resource drain and reduced agility. By providing a clear, outcome-based decision process, it encourages systematic pruning, freeing capacity for more impactful initiatives. Its open-source nature and local-first design make it accessible and adaptable for various organizations, promoting transparency and accountability in decision-making. Ultimately, Outcome-First Decisions can help organizations become more efficient, responsive, and focused on results rather than sunk costs or emotional attachments.

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How to Measure Anything in Project Management

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The Problem of Continuing Dead Projects in Portfolios

Many organizations accumulate a long tail of ongoing projects, products, or commitments that neither succeed nor are actively terminated. These ‘zombie’ initiatives continue to consume attention, maintenance, and capital, often justified by sunk costs or organizational identity. Traditional decision-making processes tend to favor continuation due to emotional biases and reluctance to admit failure. As a result, portfolios become cluttered, and capacity is wasted on initiatives that no longer contribute to strategic goals. The need for a disciplined approach to stopping is well-recognized but often overlooked in practice.

Thorsten Meyer’s framework responds to this issue by offering a structured, outcome-focused method for regularly reviewing and pruning projects, ensuring that resources are allocated to initiatives with demonstrable current value.

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

— Thorsten Meyer

Investment Analysis & Portfolio Management

Investment Analysis & Portfolio Management

Used Book in Good Condition

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Uncertainties Around Outcome Measurement and Application

It remains unclear how organizations will accurately measure outcomes, especially in complex or slow-start projects. There is also uncertainty about how the framework will perform in different organizational contexts or whether it might lead to premature termination of long-term valuable initiatives. Additionally, the emotional and cultural resistance to stopping projects may limit its practical effectiveness, despite its analytical rigor.

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Next Steps for Adoption and Validation

Organizations interested in Outcome-First Decisions are expected to pilot the framework within their portfolios, adapting it to their specific metrics and contexts. Further case studies and empirical evaluations will help validate its effectiveness and identify best practices. The open-source nature allows for community-driven improvements and shared learnings. Over the coming months, more organizations may publish experiences and insights, shaping broader adoption and refinement.

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Project-Based Learning, Competency-Based Assessments, and Experiential Education for Modern Learners

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Key Questions

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

It focuses solely on current outcomes and future worth, rather than past investments or emotional attachments, making stopping decisions clearer and more rational.

Can this framework be applied to all types of projects?

While designed to be provider-agnostic and flexible, its effectiveness depends on organizations accurately measuring outcomes and adapting the Worth Filter to their context.

What are the main risks of using Outcome-First Decisions?

Risks include mismeasuring outcomes, prematurely killing slow-start projects, and emotional resistance to stopping initiatives, which may hinder its success.

Is Outcome-First Decisions suitable for small organizations?

Yes, its local-first, low-cost review process makes it accessible for organizations of various sizes, especially those seeking disciplined portfolio management.

Source: ThorstenMeyerAI.com

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