The Reality Skill method
A decision-making framework under uncertainty starts by checking the question. Where are you now, where do you want to end up, and what do you already have? Reality Skill helps you revisit the larger goal, map evidence and alternatives, test risk, commit clearly, and return to the outcome.
Route → Map → Commit → Return. Use the depth the decision deserves.
Take a second look
A decision is often presented as “Which option should I choose?” The more valuable question may be “What outcome am I actually trying to create, and is this choice the best route?”
Write down your starting view before discussion or an AI response changes it. Then separate what was observed from what was reported, inferred, predicted, valued, or silently assumed. You can welcome new perspectives and still see how they changed your mind.
Our symbol makes the same invitation: notice the picture you constructed and the external conditions you act within. Some limits deserve a second look; others must be respected. Explore the philosophy behind the logo
The closed loop
Route
Clarify where you are, where you want to end up, what you already have, and whether the presented decision is the best route to the larger goal. Then size the process by stakes, reversibility, risk tolerance, and the cost of being wrong.
Map
Distinguish direct observations, reports, interpretations, predictions, values, and assumptions. Then locate the unknown or weak link that could actually change the decision.
Commit
Record the chosen path, owner, next action, prediction, confidence, falsifier, and Reality Date. The record protects the original reasoning from hindsight.
Return
Compare what happened with what was expected. Review the quality of the process separately from luck, then carry the useful lesson into the next decision.
An illustrative decision
Imagine a small team whose work keeps arriving late. Hiring is one possible answer. Understanding where the work waits may reveal another.
This fictional example shows how to use the method; it is not a customer result or a recommendation for every team.
The goal is dependable delivery within a sustainable workload. Hiring is a possible route, alongside changing ownership, scope, or the review process.
Separate observed delays from the assumption that capacity is too low. Ask team members for independent views: is work waiting for someone to do it, approve it, or take ownership?
If unclear ownership looks important, try named review owners for two weeks. Record the prediction, workload limit, and stop condition before starting. The staffing question stays open.
Compare delivery times, review delays, and workload with the starting record. If the prediction fails, revisit the explanation rather than treating the trial as proof that hiring is unnecessary.
A date to learn
Choose a date when useful evidence should be available, and record what you expect to observe. Return to compare expectations with events—even if the result is incomplete or surprising. Separate the quality of the reasoning from good or bad luck.
Explore Reality Dates and decision reviewsThe claim grammar
Before asking how strongly a decision is supported, separate what you saw from what you were told—and both from what was assumed in silence.
Something you saw or measured directly.
Something another person, document, or source told you.
The meaning or causal story you infer from the signals.
What you expect to happen, ideally with a date or threshold.
What matters and how you will judge a good outcome.
Something treated as true without having been checked.
An interpretation can be examined because it is stated. An assumption often shapes the whole decision while remaining invisible. Naming it creates a place to test it.
The Reality Map
A claim about a person may really describe a process delay. A market explanation may hide a weak source. Claim type and reality layer are independent axes.
Goals, attention, energy, risk tolerance, and the mental models shaping what reaches you as reality.
What people want, fear, receive rewards for, and do while anticipating one another.
Feedback loops, delays, decision rights, bottlenecks, handoffs, and variation.
Economics, regulation, technology, competition, geography, and physical constraints.
Source provenance, algorithms, generated content, and the path between an event and your model of it.
Decisions under uncertainty
Uncertainty cannot always be removed. It can be shaped: limit irreversible downside, preserve manoeuvrability, and spend attention only where new information can change the path.
Do not optimize expected upside while ignoring an outcome that would remove the ability to recover or try again.
Make acceptable loss, time, reputation, and commitment explicit instead of allowing risk tolerance to remain an argument about personality.
Check the obvious option set, the option that was silently excluded, and the smallest reversible move that can buy better information.
Test whether the blockage sits in a person, an incentive, a process, a system, the environment, the information layer—or your own ego and perception.
Give a helper the relevant context, but collect their view before it is shaped by your preferred answer or the opinions of everyone else in the room.
State the prediction, the signal that would change the view, and the date to return. A decision should produce information for the next decision.
AI as a thinking tool
Questions, answered
It is a structured process that first checks whether the apparent choice serves the larger goal, then distinguishes direct observation, reported information, interpretation, prediction, values, and assumptions before commitment.
It tests worst-case survivability, risk tolerance, reversibility, available alternatives, key assumptions, and what new information could change the path. The aim is not certainty, but a responsible decision that preserves the ability to learn.
No. Its purpose is to make the important unknown visible, decide whether one more check is worthwhile, and record uncertainty honestly before acting.
AI can organize material, compare perspectives, find gaps, and propose questions. It does not set the goal, know hidden facts, or own the decision.
For your leadership team
See the platform in action, discuss an organization license, and identify an initial decision your team can work through.
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