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TL;DR
Outcome-First Decisions is a framework that guides organizations to evaluate projects by their current outcomes, leading to decisions to keep, change, or kill. It emphasizes pruning dead weight to reclaim capacity and improve focus.
A new decision-making framework called Outcome-First Decisions has been released, designed to help organizations determine whether to keep, change, or kill ongoing initiatives based solely on their current outcomes. This approach aims to address the common problem of unproductive projects draining resources without clear justification, by providing a structured, outcome-focused method for pruning portfolios.
Outcome-First Decisions is an open-source framework that introduces the Worth Filter, a mechanism for evaluating ongoing initiatives by their current results rather than past investments or effort. The framework outputs one of three verdicts: keep, change, or kill, with a bias toward making kill decisions straightforward. It is designed to be provider-agnostic and runs locally on owned compute resources, ensuring transparency and ease of frequent review. The framework is intended to close the loop in portfolio management, preventing accumulation of dead projects that consume attention and capital without delivering value. While it emphasizes outcome-based judgment, experts caution that the accuracy of evaluations depends heavily on selecting appropriate metrics and honest assessment of results.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 Reshape Portfolio Management
This framework matters because it provides organizations with a disciplined method to prune unproductive projects, freeing capacity for more valuable work. By focusing on current outcomes rather than sunk costs or emotional attachment, it encourages more rational decision-making. This can lead to increased efficiency, better resource allocation, and a more agile organizational structure capable of adapting quickly to changing circumstances. The open-source nature ensures transparency and encourages adoption across different sectors and organizational sizes.
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The Challenge of Continuing Dead Projects in Organizations
Many organizations struggle with the long tail of ongoing projects that neither succeed nor are officially terminated. These projects often persist due to emotional biases, sunk costs, or organizational inertia, draining resources and attention that could be better used elsewhere. Traditional decision processes tend to focus on starting new initiatives, while the critical practice of stopping or pruning is often overlooked. The Outcome-First framework aims to address this gap by institutionalizing a systematic approach to ending projects that no longer produce valuable outcomes.
“Outcome-First Decisions formalizes the hardest part of portfolio management—stopping—by judging initiatives solely on their current results.”
— Thorsten Meyer, AI strategist
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Limitations of Outcome-First Decision Framework
While the framework provides a structured approach, it relies heavily on accurate measurement of outcomes. There is a risk of misjudging project health if metrics are poorly chosen or manipulated. Additionally, the framework may lead to premature termination of projects that develop slowly or require longer time horizons, as it emphasizes current results. Human judgment and emotional factors remain influential, and the framework cannot fully eliminate resistance to stopping initiatives.
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Next Steps for Adoption and Refinement
Organizations interested in implementing Outcome-First Decisions should start by integrating the framework into their portfolio review cycles. Further development may include refining outcome metrics and developing guidance for slow-start projects. The open-source community is expected to contribute improvements, and case studies will likely emerge to demonstrate practical benefits and limitations. Adoption across different sectors will help validate and adapt the framework for broader use.
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Key Questions
How does Outcome-First Decisions differ from traditional portfolio management?
It emphasizes evaluating ongoing projects based solely on their current outcomes, rather than past investments or effort, promoting more rational stopping decisions.
Is the framework suitable for all types of projects?
It is designed to be provider-agnostic and adaptable, but its effectiveness depends on selecting appropriate outcome metrics and honest assessment.
Can this framework prevent organizations from prematurely killing slow-start projects?
While it encourages outcome-based evaluation, human judgment is still necessary to recognize the long-term value of slow-start initiatives.
Is the framework available for public use?
Yes, it is open source under the AGPL-3.0 license and available on GitHub for organizations to adopt and adapt.
What are the main risks of using Outcome-First Decisions?
The primary risks include mismeasurement of outcomes, premature termination of valuable projects, and resistance due to emotional attachment or organizational inertia.
Source: ThorstenMeyerAI.com
