The direction library
Each guide begins with the answer, shows its evidence, names its limits, and ends with a practical next step.
Finding direction · Updated 2026-07-15
When you feel stuck, do not force a permanent answer. Name what matters, identify the real obstacle, and choose the smallest reversible action that can teach you something. A good next step is specific enough to schedule, small enough to begin, and aligned with a value you genuinely endorse.
Read the answer →Values and decisions · Updated 2026-07-15
Values clarification is a structured way to identify what matters in a decision and see how each option supports or conflicts with those priorities. It helps by making trade-offs explicit. It does not choose for you; it gives you a clearer basis for a choice you can explain and revisit.
Read the answer →Taking action · Updated 2026-07-15
Turn reflection into action by translating one insight into an observable behavior, naming the most likely obstacle, and attaching the behavior to a specific cue. Use an if–then sentence, schedule the smallest useful version, and set a short review point so the action becomes a learning loop rather than a test of your worth.
Read the answer →Taking action · Updated 2026-07-16
A next step should be small enough that you can name exactly when it starts, complete a first version in one sitting, and do it with resources already available—yet large enough to produce a visible result or useful information. There is no evidence-backed universal minute count. If you keep postponing, shrink the action, not the value: reduce duration, complexity, or commitment until the first move is feasible. Then pair it with a cue and review what happened before expanding.
Read the answer →Values and decisions · Updated 2026-07-17
You cannot prove that a goal is “really yours” from one feeling. Treat ownership as a pattern: you can name an interest or personally important value behind it, the goal still matters when praise and pressure are mentally removed, and you are willing to choose its costs. A goal suggested by family, work, or culture can still be self-endorsed; autonomy is not the same as independence. Sort your reasons, test a small reversible version, and review the evidence. If fear, guilt, approval, or obligation are the only reasons, pause and rewrite the goal.
Read the answer →Finding direction · Updated 2026-07-18
No. Uncertainty means you do not yet feel fully confident; it does not, by itself, identify the wrong option. Ask what is uncertain: the facts, the trade-offs, your willingness, or the consequences. Then match the response to the stakes. For a reversible, contained choice, take a small evidence-producing step and set a review date. For a choice with serious, irreversible effects on safety, rights, health, money, or other people, slow down and get qualified input. Judge the process with the information available now—not certainty or one later outcome.
Read the answer →Values and decisions · Updated 2026-08-23
When two important values conflict, define the exact decision and time horizon, then compare how each realistic option serves, limits, or delays both values. Do not ask which value is universally “more important.” Ask which trade-off you are willing and able to carry now, after honoring hard constraints such as consent, safety, rights, and existing duties. Look for a sequenced, partial, or reversible option when one is genuinely available, choose one next step, and set a review date. Remaining regret does not prove the decision was wrong; it may reflect the value you could not fully honor.
Read the answer →Taking action · Updated 2026-07-20
A reversible experiment is a bounded action designed to answer a specific question before you make a larger commitment. It has an exit path, limits on cost and impact, an observable result, and a review point. A permanent decision commits resources, obligations, access, or other people in ways that may be impossible or unacceptably costly to restore. The key difference is not whether the action feels small. It is whether you can stop, recover an acceptable prior state, and use what you learned before the stakes expand.
Read the answer →Taking action · Updated 2026-07-27
Treat one week as a review boundary, not a deadline for proving that a direction is right. Choose one important uncertainty, design the smallest real-world action that could reduce it, decide what you will observe, cap the time, cost, exposure, and effect on other people, and schedule a review on day seven. Use the result to stop, adapt, repeat, or take one larger step. A useful experiment produces evidence for the next decision; it does not promise certainty.
Read the answer →Finding direction · Updated 2026-07-28
For a low-stakes reversible next step, you need enough evidence to show that the downside is bounded, the action can be stopped or undone, the key uncertainty is worth testing, and you know what observation will inform the next decision. You do not need proof that the direction will work. Raise the evidence bar as cost, irreversibility, impact on other people, or safety risk rises. If consent, legal, health, financial, or material consequences are involved, pause for qualified input instead of treating a small experiment as permission to proceed.
Read the answer →Finding direction · Updated 2026-07-29
When you learn something new, do not ask only whether the original choice was right or wrong. Reconstruct what you believed and valued when you chose, isolate the genuinely new evidence, test whether it changes a decision criterion or constraint, and choose stay, adapt, pause, or reverse. Record why and set the next review trigger. New information should change a decision only in proportion to its relevance and reliability—not merely because it is recent, vivid, or uncomfortable.
Read the answer →Taking action · Updated 2026-07-30
Test first the assumption that is both important enough to change your next decision and weakly supported by current evidence—provided you can examine it safely with a small, reversible action. An uncertain assumption that would not change what you do is not first. A critical assumption that requires material risk, cost, consent, or an irreversible commitment is not ready for a personal experiment. Use the SHIFT filter to compare significance, evidence strength, inspectability, fallout, and timing without pretending the ranking is mathematically certain.
Read the answer →Finding direction · Updated 2026-08-01
Compare uncertain options in two passes: first remove any that fail a hard constraint, then compare the rest against the same criteria using ranges or plain-language bands rather than single confident forecasts. Identify the assumption most likely to change the ranking and run a what-if check: if that estimate becomes less favorable, does your preferred option change? Prefer an option that remains acceptable across plausible outcomes—not automatically the one with the highest best case. If a small reversible test can reduce a ranking-changing uncertainty, test before making a larger commitment.
Read the answer →Taking action · Updated 2026-08-02
An if-then plan can help you follow through by deciding in advance which specific situation will trigger one specific action: “If this cue occurs, then I will do this response.” Use it after you have chosen a worthwhile next step; the plan cannot decide whether the goal is right. Make the cue noticeable and likely, make the response immediately doable, and review what happened. The CUE check—Chosen step, Unmistakable cue, Executable response—keeps the plan concrete without promising that it will work every time.
Read the answer →Finding direction · Updated 2026-08-03
Revisit a decision at the review point you set in advance, or sooner when decision-relevant evidence changes: a key assumption fails, progress moves outside an agreed range, an important constraint or objective changes, or a material unintended effect appears. Stay the course when the original objective still matters, the action remains within its boundaries, and the only new signal is temporary discomfort or one inconclusive result. The TRACE check—Time, Results, Assumptions, Context, Effects—separates a real review trigger from the urge to relitigate a choice every day.
Read the answer →Taking action · Updated 2026-08-04
Define success as learning enough about one important uncertainty to make the next decision, within the time, cost, permission, and safety boundaries you set before starting. Name the action, the observable signal you will record, the range that would count as useful evidence, and what each result will make you do next. A small experiment can succeed by showing that an idea should stop or change; it does not have to confirm your preferred outcome. The MARK card—Main uncertainty, Action and observation, Range and guardrails, Keep or change rule—makes that definition inspectable.
Read the answer →Taking action · Updated 2026-08-22
Record only the evidence that could change your next decision: whether the planned action happened, the observable signal tied to your learning question, the conditions that may have shaped it, and any unexpected cost or effect. Decide before starting when and how you will record each item. Use the FIELD note—Focused question, Implementation check, Evidence signal, Limits and context, Decision link—to keep the record small. One log entry is evidence about this attempt, not proof of a general pattern or a high-stakes outcome.
Read the answer →Taking action · Updated 2026-08-22
Before you start, write three observable conditions: stop if a boundary is crossed or the idea no longer deserves another attempt; adapt if the test was incomplete, the evidence is mixed, or one controllable feature needs changing; continue only if the planned action happened, the relevant signal is strong enough, and every boundary still holds. Give stop conditions priority over encouraging evidence, change one feature when adapting, and make continue mean one more bounded step—not permanent commitment. The PACT rule keeps those decisions separate.
Read the answer →Finding direction · Updated 2026-08-07
Treat doing nothing and taking a small step as two real paths, not as risk versus no risk. Describe what is likely to happen on each path by the same review date, then compare direct costs, missed opportunities, uncertainty, reversibility, learning value, and effects on other people. Use the BASIS comparison: Baseline path, Action path, Same horizon, Information value, and Safeguards. A small step is preferable only when it fits your objective and boundaries better; inaction can remain the wiser choice.
Read the answer →Finding direction · Updated 2026-08-08
A choice depends too much on one uncertain assumption when a reasonable change in that assumption changes which option you prefer, whether an option clears a real constraint, or whether the next step remains acceptable. Hold the rest of the comparison steady and vary that assumption across a plausible evidence-based range. If a modest change flips the decision, treat it as a hinge: improve the evidence, redesign the choice, or take a smaller reversible step. If only an extreme unsupported change flips it, the dependency is weaker.
Read the answer →Values and decisions · Updated 2026-08-23
Separate them statement by statement. Treat a fact as a claim tied to an inspectable source, observation, or record and a date; treat an assumption as a claim you are using before it is fully supported, including forecasts and cause-and-effect expectations. Put values and hard constraints in their own columns rather than mislabeling them as facts. Compare options with every label visible, then test whether changing each material assumption would change the choice. If it would, gather proportionate evidence or reduce the commitment before deciding.
Read the answer →Taking action · Updated 2026-08-22
Before the experiment, name one plausible helpful and harmful spillover across time, cost, attention, access, relationships, or another person's workload. Choose one observable signal for each, plus an open note for effects you did not predict. Check during the attempt, at the planned review, and once after any likely delay. Record what changed, when, who or what was affected, and what else may explain it. Apply your prewritten stop, adapt, or continue rule. A small personal record can guide the next bounded step; it cannot prove the experiment caused the change.
Read the answer →Finding direction · Updated 2026-08-11
When two options score almost the same, treat the result as a near-tie rather than a precise winner. Check that both options meet every non-negotiable, inspect which criteria create the trade-off, and change one uncertain score or weight through a plausible range. If the ranking flips easily, keep both options viable and choose a small reversible test, a sequence, or an explicit judgment based on the trade-off. If the ranking stays stable and the difference matters, choose the leading option. Do not add decimal precision that the evidence cannot support.
Read the answer →Finding direction · Updated 2026-08-13
A simple what-if check is enough when the choice is genuinely low-cost, low-risk, and easy to revise; one uncertain assumption could change the next move; you can give that assumption a plausible low and high value; and the same bounded next step remains reasonable across both. It is not enough when the answer flips, several uncertainties interact, the range is guesswork, or the choice affects health, legal rights, regulated money, employment, safety, consent, or another person's welfare.
Read the answer →Taking action · Updated 2026-08-14
Choose the earliest date when the evidence you need could realistically exist after enough relevant opportunities, but no later than the date your next decision is due. Work backward from that decision, estimate the evidence's natural arrival lag, count the attempts or cycles needed to observe it, and write boundary triggers that cause an earlier review. Do not pick an arbitrary week or wait indefinitely for certainty. If useful evidence cannot arrive before the decision deadline, shrink the question, change the experiment, or gather a different kind of evidence.
Read the answer →Values and decisions · Updated 2026-08-23
To compare several good options, write one decision aim, screen out any option that crosses a true boundary, and compare the remaining options against the same small set of clearly defined criteria. Rate each option with the evidence you have, label uncertain judgments, and then inspect the criterion that creates the lead. Treat the total as an organizing aid, not an automatic verdict. If the lead depends on one weak rating or an omitted trade-off, gather better evidence, revise the grid, or take a smaller reversible step.
Read the answer →Taking action · Updated 2026-08-22
Test one part by writing one learning question, changing one component, and keeping the surrounding conditions as steady as practical. Before you start, name what will stay fixed, the observation that would inform the question, and the boundary that would stop the test. Record any deviation. At review, interpret only the link you tested; do not treat one small personal attempt as proof that the whole direction works. The SINGLE card—State question, Isolate component, Name constants, Ground observation, Log deviations, Evaluate the link—keeps the test focused.
Read the answer →Finding direction · Updated 2026-08-18
Missing information is worth finding when a credible answer could change your choice, its timing, or the size of your next step, and you can obtain it before the decision at proportionate effort. First write how yes, no, and unclear answers would affect your action. Check existing evidence before collecting anything new. If no plausible answer changes the decision, stop researching. Raise the effort with stakes, irreversibility, duties, or effects on others. The WORTH screen—Write, Outcome-switch, Reuse, Time-box, Higher-stakes escalation—turns one information gap into a bounded research task.
Read the answer →Finding direction · Updated 2026-08-23
Generate options before comparing them. Write the outcome first, add the current-course baseline, then list the parts that could vary—scope, method, timing, support, and commitment. Swap or recombine those parts to create a minimum, middle, ambitious, and genuinely different route. Remove only options that fail a true requirement; do not use preferences as early vetoes. Keep a short record of why each option stayed or left. The BROAD builder—Baseline, Requirements, Option components, Assemble variants, Document and filter—makes the option set visible before ranking begins.
Read the answer →Taking action · Updated 2026-08-22
Adapt a small experiment by preserving the original plan, naming the one feature you will change, and starting a new version rather than editing the old record. Timestamp the change, write the reason, note any context that also shifted, and keep observations attached to the version that produced them. At review, compare versions without pooling unlike attempts or treating improvement as proof of causation. The PATCH card—Preserve, Alter, Timestamp, Context, Hold apart—keeps the learning trail visible.
Read the answer →Values and decisions · Updated 2026-08-23
Identify the real decision by separating the outcome you want from the commitment you must make now. Write one sentence that names the purpose, decision owner, immediate choice, scope, and decision point. Exclude nearby questions that do not need answering yet, list who must agree, and check that every option answers the same question. If changing the sentence changes the option set or evidence needed, you had been framing a different decision. The POINT statement—Purpose, Owner, Immediate choice, Narrow scope, Timing—makes the choice explicit.
Read the answer →Taking action · Updated 2026-08-24
Choose the feedback method from the question, not from the tool you happen to have. Use a count or checklist for whether and how often something happened; use a short note, observation, or conversation for how it happened and what shaped it. Reuse an existing record when it answers the question. Pair one numeric trace with one narrative prompt only when you need both the pattern and its context. The ECHO card—Exact question, Cheapest existing trace, Human context, One light-touch method—keeps collection useful and proportionate.
Read the answer →Taking action · Updated 2026-08-25
A small experiment is stable enough for a modest review when you can name the version you tried, the action was carried out consistently enough to interpret, the planned evidence was recorded in a usable way, and no unlogged change or major context shift makes the attempts unlike one another. There is no universal number of attempts that proves stability. If the check fails, review implementation rather than outcomes, repair one issue, and begin a clearly labelled version. The STEADY check keeps that decision visible without turning personal observations into causal proof.
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