📊 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 projects by their current outcomes, recommending to keep, change, or kill. It aims to improve portfolio health by focusing on results over sunk costs.
A new decision framework called Outcome-First Decisions is designed to help organizations evaluate ongoing initiatives based solely on their current outcomes, regardless of past investments. Developed as an open-source tool under AGPL-3.0, it emphasizes the importance of pruning projects that no longer justify their costs, aiming to improve overall portfolio health and resource allocation.
The framework centers around a mechanism called the Worth Filter, which prompts decision-makers to assess whether an initiative’s current outcome justifies its ongoing costs, leading to one of three verdicts: keep, change, or kill. It is designed for use on local compute, provider-agnostic, and emphasizes transparency and openness, with the goal of closing the decision loop in portfolio management.
Outcome-First Decisions challenge traditional backward-looking assessments that focus on sunk costs and emotional attachment. Instead, it advocates for forward-looking judgments based on current results, thereby encouraging organizations to prune dead or underperforming projects and free up capacity for new initiatives. The framework also aims to make the difficult decision to kill projects easier and more consistent.
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.
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.
Why Outcome-First Decisions Transform Portfolio Management
This approach matters because it addresses a common problem in organizations: the persistence of projects that no longer produce value but continue to consume resources. By focusing on outcomes rather than sunk costs, organizations can reduce waste, reallocate resources more effectively, and foster a culture of disciplined pruning. The open-source nature of the framework encourages transparency and shared practices, potentially setting a new standard for portfolio discipline across industries.
Project Planner: Management Notebooks Organizer & Work Log Book Tracker With Checklist Brainstorming for Entrepreneurs, Managers & Small Business Owners
TURN YOUR IDEAS INTO REALITY: Unleash your creativity with this unique planning notebook, consisting of 224 pages divided…
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Need for Better Portfolio Pruning Methods
Many organizations struggle with maintaining a balanced portfolio of projects, often keeping initiatives alive due to emotional attachment, past investments, or organizational inertia. This results in a long tail of underperforming or dead projects that drain focus and capital. Traditional decision-making processes tend to favor continuation, making it difficult to eliminate non-productive initiatives.
The Outcome-First framework emerges as a response to this challenge, offering a structured, outcome-focused approach to evaluate whether ongoing projects should be kept, modified, or terminated. Its principles align with recent shifts toward more disciplined resource management and leaner operations.
“Outcome-First Decisions is about judging every initiative by what it produces now, not what it cost or how much effort was invested. It’s a way to cut through the emotional and sunk-cost biases that keep dead projects alive.”
— Thorsten Meyer, creator of the framework
Marzano Resources Untangling Data-Based Decision Making: A Problem-Solving Model to Enhance MTSS (A practical tool to help you make sense of student data for effective use in MTSS)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Uncertainties About Implementation and Effectiveness
It is not yet clear how organizations will measure and verify the accuracy of outcomes used in the Worth Filter, or how they will handle slow-start projects that appear to underperform initially but may yield long-term value. Additionally, the framework’s effectiveness in different organizational contexts remains to be tested, and there is a risk of premature killing if outcomes are misjudged or metrics are poorly chosen. The emotional resistance to killing projects also remains a challenge that no framework can fully address.
Nursing Diagnosis Handbook: An Evidence-Based Guide to Planning Care
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Next Steps for Adoption and Validation
Organizations interested in Outcome-First Decisions are expected to pilot the framework within their portfolios, with particular attention to how outcomes are measured and how decisions are documented. Further development may include refining metrics and integrating the framework into existing portfolio management tools. Observing its impact on portfolio health and resource reallocation will be key to assessing its broader applicability and success.
portfolio pruning software
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
How does Outcome-First Decisions differ from traditional project evaluation?
It shifts the focus from past investments and effort to current outcomes, encouraging organizations to prune projects that no longer produce value, regardless of how much has been invested previously.
Can the framework be applied to all types of projects?
While designed to be provider-agnostic and flexible, its effectiveness depends on the ability to accurately measure outcomes. Slow-start projects or those with long-term payoffs may require careful outcome assessment.
What are the main challenges in implementing Outcome-First Decisions?
Measuring outcomes objectively, overcoming emotional resistance to killing projects, and avoiding premature termination of slow-start initiatives are key challenges.
Is the framework suitable for large organizations with complex portfolios?
Yes, but it may require adaptation to organizational context and robust outcome metrics. Its open-source nature allows customization and integration into existing processes.
Will this framework eliminate all dead projects?
Not entirely; it provides a disciplined approach to decision-making but cannot eliminate the emotional and cultural factors influencing project continuation.
Source: ThorstenMeyerAI.com
