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

The Outcome-First framework offers a structured approach for organizations to evaluate ongoing initiatives by focusing on current outcomes rather than past investments. It emphasizes killing projects that no longer justify their costs to improve portfolio health.

The Outcome-First decision framework is designed to help organizations determine whether to keep, change, or kill ongoing initiatives based solely on their current outcomes and costs. This approach shifts focus from past investments to present performance, aiming to improve portfolio efficiency and reduce resource drain.

The framework revolves around a decision mechanism called the Worth Filter, which evaluates each initiative by its current outcome and whether it justifies ongoing costs. It produces three verdicts: keep, change, or kill. The primary goal is to prevent organizations from continuing projects that are neither succeeding nor being actively terminated, which often silently consume resources without delivering value.

Outcome-First is designed to be provider-agnostic, running on local infrastructure, and is open source under the AGPL-3.0 license. It emphasizes that decisions should be made based on forward-looking outcome assessments rather than past effort or sunk costs. The framework aims to formalize the difficult process of stopping projects, which is often avoided due to emotional or organizational biases.

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 Matters for Portfolio Management

This approach encourages organizations to adopt a disciplined method for pruning their project portfolios, freeing up capacity for more valuable initiatives. By systematically evaluating whether ongoing efforts still produce worthwhile outcomes, companies can avoid resource drain from projects that no longer serve strategic goals. The framework also promotes transparency and objectivity in decision-making, potentially leading to more agile and responsive organizations.

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Background and Rationale for Outcome-First Decisions

Many organizations accumulate a long tail of ongoing projects that are neither actively successful nor intentionally terminated. These ‘zombie’ initiatives drain attention, capital, and focus, often justified by sunk costs or organizational identity. Traditional decision-making processes tend to favor continuation due to emotional attachment or reluctance to admit failure. The Outcome-First framework addresses this by providing a structured, outcome-based approach to portfolio pruning, emphasizing that the most cost-effective growth strategy is often to stop low-value initiatives.

“Outcome-First is about making the hardest decision in any portfolio: what to stop, based on current outcomes rather than past effort.”

— Thorsten Meyer, source developer

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Uncertainties Around Implementation and Metrics

It is not yet clear how organizations will measure outcomes accurately across diverse initiatives, or how they will prevent gaming the system. The effectiveness of the Worth Filter depends heavily on the quality of the outcome metrics fed into it. Additionally, there is concern that the framework could lead to premature killing of slow-start projects or valuable innovations that need more time to mature. The emotional and cultural resistance to stopping projects remains a significant challenge.

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Next Steps for Adoption and Validation

Organizations interested in Outcome-First are expected to pilot the framework in select portfolios to evaluate its impact on resource allocation and decision transparency. As open-source software, it can be adapted and integrated into existing portfolio management tools. Further validation will depend on case studies demonstrating its effectiveness in reducing resource waste and improving strategic agility. Ongoing development may include refining outcome metrics and addressing cultural barriers to stopping initiatives.

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Key Questions

How does Outcome-First differ from traditional project evaluation?

Unlike traditional methods that often consider past investments and effort, Outcome-First focuses solely on the current outcome and whether continuing is justified based on future value.

Can this framework be applied to all types of initiatives?

While designed to be provider-agnostic, its effectiveness depends on the ability to measure relevant outcomes accurately across different initiatives.

What are the risks of using Outcome-First?

The main risks include mismeasuring outcomes, prematurely killing slow-start or high-potential projects, and cultural resistance to stopping initiatives.

Is Outcome-First suitable for small organizations?

Yes, especially as it is designed to run on local infrastructure and can be adapted to organizations of various sizes, helping them improve decision discipline.

Where can I learn more or try the framework?

The framework is open source and available on GitHub under the AGPL-3.0 license, allowing organizations to experiment and tailor it to their needs.

Source: ThorstenMeyerAI.com

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