By job

Start from what you are trying to do. Each job below maps to a domain; pick the move that fits, or let the Framework Advisor choose.

Reframe the problem

Domain: Problem Framing

Framework	Evidence	What it does
Abstraction Laddering	P	Builds an abstraction ladder that moves a problem up (“why / to what end?”) and down (“how / what specifically?”) to locate the right altitude to work at, then marks one rung as the working level.
Problem Restatement	M/P	Generates several genuinely different framings of an ambiguous problem by varying altitude, stakeholder, and goal-versus-implementation, then selects the most useful one to solve and produces a reframed problem statement with How Might We angles.

Generate options

Domain: Divergent Ideation

Framework	Evidence	What it does
Assumption Reversal	P	Generates non-obvious ideas by surfacing the foundational assumptions a problem or solution rests on, negating each, and reframing from the reversed assumptions, then shortlisting, producing an assumptions-and-reversals sheet.
Brainwriting	S	Generates ideas the way silent parallel brainwriting does, producing several independent idea streams that build on each other without anchoring on the first voice, then consolidates them into a shortlisted idea pool.
Far-Analogy Ideation	S	Generates novel solution candidates by stating a problem’s deep relational structure, mapping it to distant source domains (nature, other industries, games), and transferring the mechanism rather than surface features, then adapting.
Question Burst	P	Generates a rapid burst of questions about a problem (questions only, no answers), then ranks them for which would most change the approach and selects the single most catalytic one to pursue, producing a ranked question set.
SCAMPER	P	Generates a structured set of variations on an existing idea, product, or process by running it through seven transformation prompts (substitute, combine, adapt, modify, put to other use, eliminate, reverse), then shortlists the most promising, producing an expansion sheet.

See it from other angles

Domain: Perspective & Multi-Lens

Framework	Evidence	What it does
Parallel Perspectives Review	P	Evaluates a decision or idea through several deliberately separated lenses in turn (facts, upside, risks, intuition, alternatives, process) so that no single mode dominates, then synthesizes them into a balanced read, producing a multi-lens review.

Trace consequences

Domain: Systems & Consequences

Framework	Evidence	What it does
Causal Loop Diagrams	M/P	Builds a signed causal loop diagram by closing the feedback loops in a situation, labeling each loop reinforcing (R) or balancing (B) with its link polarities, and reading likely dynamics (spiral, goal-seeking, or oscillation) off which loop dominates.
Futures Wheel	P	Produces a consequence map by tracing the first, second, and third order effects of a change or decision radiating outward from the center, surfacing ripples beyond the obvious and flagging the high-impact branches.
Iceberg Model	P	Produces an iceberg that moves a problem down four levels of causation - from the visible event, to the pattern over time, to the underlying structures, to the mental models that hold them in place - pairing each level with the intervention it implies to find systemic causes and higher-leverage fixes.
Stocks and Flows Reasoning	S	Produces a stock-flow map by separating a quantity that accumulates from the inflows and outflows that change it, then reasoning about the stock’s trajectory from the net flow rather than the direction of any single flow.

Challenge assumptions

Domain: Assumption & Belief Challenge

Framework	Evidence	What it does
Authentic Dissent	S	Checks whether a decision has genuine minority dissent or only smooth surface consensus, identifies who actually holds a contrary view, and plans how to elicit and protect real dissent, flagging clearly where a view is constructed rather than authentically held.
Ladder of Inference Check	P	Produces an annotated reasoning trace that reconstructs how a conclusion was reached, from the observable data, to the data actually selected, to the meaning and assumptions added, then flags the riskiest leap and tests an alternative interpretation.
Red Team Light	P	Produces an adversarial critique by constructing the strongest case against a proposal or thesis (the best objections an intelligent adversary would raise), then judging which objections actually land and what would rebut them.

Clarify the reasoning

Domain: Reasoning Clarity

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.

Decide between options

Domain: Decision & Option Evaluation

Framework	Evidence	What it does
Decision Option Review	P	Produces a criteria-weighted option matrix by comparing a set of options against weighted criteria, scoring each, surfacing the explicit tradeoffs, and recommending one while flagging where the scoring is soft.
Fermi Estimation	M/P	Produces a Fermi decomposition worksheet that estimates an unknown numeric quantity by factoring it into a chain of order-of-magnitude sub-estimates, guessing each to within a band, then multiplying back to a point estimate plus a compounded low/high range, with an independence check and a dominant-uncertainty flag.
Linear-Model Aggregation	S	Builds a simple mechanical scoring model - a few weighted predictive cues combined by a fixed formula and applied consistently - for a repeated predictive judgment, because consistent simple rules reliably match or beat holistic expert intuition.
One-Way vs Two-Way Door	P	Produces a reversibility classification that triages a decision before any analysis - labeling it a reversible two-way door or a hard-to-reverse one-way door - and matches the deliberation and sign-off level to that verdict, so reversible calls are made fast and irreversible ones get real rigor.
What Would Have to Be True	P	Converts a strategy, option, or contested claim into the specific conditions that would have to be true for it to be the best choice, rates each condition’s confidence, and identifies which load-bearing assumptions to test first, producing an assumption ledger.

Anticipate what could go wrong

Domain: Risk & Resilience

Framework	Evidence	What it does
Backcasting	P	Produces a backcast path by fixing a vivid desired future state and reasoning backward through the milestones and preconditions required to reach it, ending at the next concrete step available now.
Premortem	S/M	Generates a ranked risk register that stress-tests a planned decision by imagining it has already failed, surfacing the likely causes and pairing each with a mitigation, tripwire, and kill criterion.
Reference Class Forecasting	S	Produces a reference-class estimate by defining a class of similar past cases, taking their base-rate distribution of outcomes, and anchoring the forecast on that outside view rather than the optimistic inside view, with a conservative adjustment for specifics.
WOOP (Mental Contrasting with Implementation Intentions)	S	Produces a WOOP commitment card by working through Wish, Outcome, Obstacle, and Plan - contrasting the desired outcome against the main internal obstacle and binding an if-then response to it.

Synthesize into a message

Domain: Synthesis

Framework	Evidence	What it does
Affinity Mapping	P	Produces a clustered theme map that groups many raw notes, observations, quotes, or data points bottom-up into a small set of named, traceable themes (the KJ method).
Concept Mapping	M/P	Builds a concept map - a non-hierarchical network of concept nodes joined by directed, labeled linking phrases so each node-link-node reads as an explicit proposition, with cross-links across clusters - then surfaces gaps, missing links, and questionable propositions.
Pyramid Principle	P	Produces a pyramid that structures a recommendation answer-first - a single governing thought on top, a small set of MECE, deliberately ordered key arguments beneath it, and supporting evidence under each (Minto), with an optional SCQA intro framing.

Reflect and route

Domain: Meta-Thinking & Reflection

Framework	Evidence	What it does
After Action Review	S	Produces a structured after-action review by comparing what was expected against what actually happened, diagnosing why the gaps occurred, and converting them into specific owned sustain-and-change actions.
Belief-Update Routine	P	Produces a belief-update ledger that re-scores a standing inventory of open beliefs against newly arrived evidence on a cadence - each belief carrying a prior confidence, the evidence accrued since the last review, a revised confidence with an explicit delta and direction, a reason for the size of the move (a guard against under-updating), and a next-review trigger.
Decision Journal	P	Produces a decision journal entry that records a consequential decision at the moment it is made - the decision, the rationale, the predicted outcome, an explicit confidence level, and the assumptions it rests on - so it can be honestly reviewed later against what actually happened.
Framework Advisor	M/C	Produces a prioritized, evidence-graded Thinking Plan that diagnoses which thinking frameworks a situation actually needs - the dominant cognitive job, a short sequence of the fewest fitting frameworks to apply (each with its evidence tier, expected artifact, and a ready-to-run prompt), and what not to use.
Random Frameworks	C	Generates three off-pattern framework analyses of a topic by drawing frameworks at random, applying each regardless of fit, and harvesting the non-obvious angles the unexpected lenses expose.
Research Framework		Researches a thinking framework end to end and produces a schema-valid proposed registry entry plus a learning dossier, grading the evidence on the seven-tier model and assessing overlap against the shipped catalog.
Top 3	C	Produces a worked three-framework analysis of a topic.