Reasoning Clarity

The Reasoning Clarity domain. 4 frameworks in this family. Each is graded honestly; see the evidence model for the tiers.

These frameworks all separate what reasoning is doing from how confidently it is stated. Fluent prose, and a fluent model especially, blends evidence with inference, hides the premise an argument silently leans on, and buries a base rate inside a percentage. The shared move is to externalize that hidden structure into an inspectable artifact, so a reader can attack one branch or one link instead of arguing with a wall of confident text.

Reach for this family when

• A recommendation or conclusion has to be trusted before anyone acts on it, and you want to see what it actually rests on.
• A persuasive case might be hiding a broken inference or an unstated assumption.
• A “given a positive signal, what is the real probability” question is being answered by intuition, and the base rate is being ignored.
• A question is too big or multi-cause to answer as posed and needs breaking into parts that can be answered.

Which one to use

These four operate at different points: one decomposes a question before any answer exists, two examine an answer that already does, and one handles probability specifically.

• Issue Tree runs first, before an answer exists. It decomposes one big, ambiguous question top-down into a mutually-exclusive, collectively-exhaustive set of sub-questions until the leaves are answerable. Reach for it when the question itself is the problem. It restructures the question; it does not answer it.
• Argument Mapping runs on an answer that already exists. It lays out a claim’s reasons, the co-premises each silently needs, and the objections against it, then flags the weakest links. Use it to judge whether a case is sound. Note that a valid structure does not make the premises true.
• Evidence vs Inference Sort is finer-grained than mapping: instead of the argument’s shape, it labels each claim as evidence, inference, or assumption and flags what is uncited. Use it to audit the reasoning behind a conclusion. It classifies claim type; it does not fact-check whether the evidence is true.
• Natural-Frequency Bayesian Framing is the narrow specialist for one error: misreading a conditional probability by neglecting the base rate. It applies only where there is genuine conditional-probability structure and real input rates; with no real rates, it refuses rather than inventing them.

Composes with

This family clarifies reasoning that other families generate or are about to act on. It is fed by Decision & Option Evaluation: map the argument or sort the evidence behind an option before committing to it. An issue tree often runs early, structuring a question that Divergent Ideation then explores branch by branch, or that Problem Framing has just sharpened. A natural-frequency check pairs naturally with Risk & Resilience, where reading a screening signal correctly changes the bet. What survives a sort or a map is far easier to carry into Synthesis, where only the load-bearing claims should make the final cut.

Framework	Evidence	What it does
Argument Mapping	S	Produces an argument map by laying out a claim’s supporting reasons, the co-premises each silently depends on, and the objections against it as an explicit structure, then flags the weakest links and unsupported premises.
Evidence vs Inference Sort	P	Produces an evidence/inference ledger by sorting the claims in a prompt, document, or proposed conclusion into evidence, inference, and assumption, attaching a confidence level to each inference and flagging anything uncited.
Issue Tree	P	Produces an issue tree that decomposes one big, ambiguous question top-down into a mutually-exclusive, collectively-exhaustive (MECE) set of smaller sub-questions, branch by branch, until the leaves are small enough to answer with data or judgment.
Natural-Frequency Bayesian Framing	S	Converts a conditional-probability or base-rate question into natural frequencies over a concrete population (for example 9 of 1000) to compute the correct posterior and expose base-rate neglect, and refuses to proceed without real input rates.

Not sure which of these fits your situation? The Framework Advisor will diagnose the job and recommend a minimal sequence.