What to change?
“We keep missing release dates.”
The group establishes what in the current situation actually needs changing.
For groups trying to make something better
Reason Commons helps groups agree on what to change, what to change to, and how to make the change happen — then learn from what reality actually does.
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Groups do not only need better answers. They need a way to decide what matters, act on what they believe, discover when reality disagrees, and continue from what they learned.
“We keep missing release dates.”
The group establishes what in the current situation actually needs changing.
“Ownership should be explicit before work begins.”
The group agrees on a better condition and why it should improve the situation.
“Run a four-week named-owner experiment.”
Actions are connected to the reasoning that justified them and the effects expected.
Expected: median delay < 48hObserved: 61h
The result changes what the group stands behind next.
Every consequential claim keeps what it rests on, who stood behind it, what remained contested, what was expected, and what reality later did about it.
The institution keeps the why, not just the what.
A simple cycle for real work, and underneath it the five things a shared record has to do so the reasoning stays cumulative, governed and portable.
What needs to change?
What should it change to?
How will we cause the change?
What did reality teach us?
Ordinary work can enter the record.
People decide what the group stands behind.
Reasons, dissent, expectations and outcomes stay connected.
Reality can challenge the reasoning.
The record belongs to the community, not the AI or vendor.
The four are what the group is trying to accomplish. The five are what Reason Commons has to do well to support it.
AI may find evidence, identify contradictions, propose causal links, suggest alternatives, and prepare changes to the shared record. People decide what the group accepts, what it will rely on, and what it will do.
Most work never needs more than the four questions. When one of them turns out to be genuinely contested, the reasoning behind it can take a stronger shape — and a novice never has to know these are here.
You do not begin by choosing a diagram. The structure grows out of the question the group is trying to answer.
Expectations are recorded before the answer is knowable. Automated tests can settle some. Actual use, measures, and observation settle others. When reality disagrees, Reason Commons shows which reasoning and decisions were standing on the failed expectation.
The pilot finished. It was also wrong — and the record holds both, so “we did the work” never becomes evidence for the reasoning that asked for it.
Reality gets a vote—and the consequences propagate.
Ordinary organizational memory can tell the next person what happened. Reasoning memory tells them why the group believed the action would work, what was disputed, and what reality later established — so nobody has to reconstruct the argument. Psychology already names three memories, and every tool you use keeps one of them: facts, routines, and a history of events.
Reasoning memory is the fourth, and it sits under the other three. It is the one nobody stores, and the only one that cannot be recovered once it is gone.
Facts, definitions, the state of the world.
“Median review delay is 61 hours.”
Documents, wikis, vector search
Skills and routines — how a thing is done here.
“This is how we run a review.”
Playbooks, runbooks, habit
What happened, in order, to whom.
“On 23 March we started a four-week ownership pilot.”
Logs, transcripts, chat history
Claims, what they stand on, what was contested, what was predicted, and what reality did about it.
“We chose the pilot because unnamed ownership was judged the root cause — Maya reserved on that, and a 61-hour median later challenged it.”
Almost nothing. Whoever comes next derives it again.
The why contains the rest. A claim carries the facts it stands on, the action it licensed, and the version it was accepted at — so the what, the how and the when can be read back off it.
It does not run back. No amount of documents, playbooks and transcripts reconstructs the judgment that chose between them. That is why this is the layer worth making portable — and the layer nothing currently keeps.
Reality disagreed — in three trees at once
One observation, median 61 hours, challenges the expected effect, the change that promised it, and the root cause both stood on. Maya’s alternative root cause is untouched — the dispute is aimed at a proposition, not sprayed over a tree — and nothing is deleted.
413d75f16173…7e45ee48db7a…e0d1697b98d9…We are using Reason Commons to develop Reason Commons. Proposed capabilities have to earn their way in through the same cycle: identify a problem, predict an improvement, try the change, and learn from the outcome.
Built by David Joseph, in collaboration with Rufus Pollock on reasoning, commons, and collective learning.
With AI in the reasoning, and people in charge. For teams who want decisions, actions, expectations and learning to remain connected over time.
Create an account with your name, email, and password to enter the prototype. No payment step.