Should I Do It? Analysis
Weigh evidence, odds, and risks before acting
Should I Do It? Analysis
Weigh evidence, odds, and risks before acting
Showcase
Description
Turn the vague uncertainty of “Should I do X?” into a clearly bounded decision analysis that can be checked and updated over time. Whether you’re considering leaving your job to start a business, investing in a project, buying an asset, or making a career or life choice, you can provide text, tables, documents, or screenshots to organize your options, time horizon, major costs, how much risk you’re willing to accept, and how much confidence you need before acting. The analysis examines the question through statistics, probability theory, and Bayesian reasoning: checking whether samples are reliable and whether an observed pattern is more likely a real trend or a coincidence; breaking down possible future scenarios and comparing probabilities, expected returns, and tail risks; then combining prior beliefs with new evidence to determine which information is truly discriminating and how your judgment should be updated. User-provided facts, public information, and analytical assumptions are clearly separated. When reliable data is lacking, uncertainty is not concealed behind false precision. You’ll receive a replayable decision framework that includes new information worth verifying, actionable next steps, triggers for reassessment, and key evidence still needed. It won’t make the decision for you or present assumptions as facts. Instead, it helps you see the evidence, probabilities, costs, and risks clearly, leaving the decision in your hands.
Best for
For people comparing important options, organizing evidence and risks, and making decisions based on information that can be updated.
How to use this Skill
Provide your input
Enter a “Should I do X?” decision question. You may attach text, tables, documents, or screenshots, and describe the options, time frame, main costs, and acceptable risk level.
Run the Skill
The system breaks the question into options, evidence, probabilities, expected returns, and risks, then applies statistical, probabilistic, and Bayesian analysis. Assumptions are marked when information is incomplete.
Review your result
Receive a checkable, continuously updatable decision analysis covering information to verify, next steps, reassessment triggers, and key blind spots—without making the final decision for you.
Related Skills
View all
High-Value Decision Advisor
When you are grappling with 'whether to do something', 'whether to choose a certain option', 'whether it's worth investing resources', or want to review 'why that decision turned out the way it did', this Skill acts like a warm project evaluation advisor, helping you break down vague thoughts into assessable evidence. It is suitable for: - Career choices: whether to change jobs, switch careers, join a startup, pursue graduate studies; - Education and growth investments: whether to enroll children in classes, buy courses, commit to a long-term learning plan; - Project and opportunity evaluation: whether to start a project, take on a partnership, invest resources; - Relationships and life choices: whether to confess feelings, move, change living arrangements; - Historical decision review: review a resignation, postgraduate exam, investment, partnership, or relationship choice. It automatically adjusts the depth of reasoning based on the decision magnitude: - Lightweight decisions: quickly clarify key variables and give brief advice; - Medium-weight decisions: structured analysis around necessity, feasibility, risk, timing, and alternatives; - Heavyweight decisions: full project-style reasoning, outputting risk warnings, directional recommendation, and action paths; - Review-type questions: helps you reconstruct the judgment chain at that time, identify prediction biases and transferable lessons. You can start like this: - 'Should I sign my child up for a 20,000 per year English class?' - 'Should I leave my stable job for a startup?' - 'I want to review my decision last year to resign and study for graduate exams.' - 'I'm not sure whether to confess my feelings, can you help me analyze it?' - 'Is this opportunity worth my time and money?' In the end you will get: - A clear directional recommendation: recommend to proceed / recommend to hold off / recommend to gather more information before deciding; - The confidence level and key uncertainties for each recommendation; - The risks you most easily overlook; - The next minimal validation step. Note: It will not pretend to be certain with insufficient information and make decisions for you; it will help you see the decision basis, risk boundaries, and what to verify next.

Multi-Framework Analysis
Turn complex problems into structured, multi-perspective analyses that can be reviewed, verified, and used to support next steps. Whether you are evaluating career choices, business and product decisions, social phenomena, controversial issues, trending topics, innovations, or abstract concepts, this Skill first clarifies the subject, goals, constraints, known information, and key unknowns. It then selects complementary cognitive frameworks based on the task, avoiding a pileup of concepts or repeated versions of the same conclusion. The analysis clearly distinguishes between information provided by the user, verified facts, general principles, assumptions, inferences, and content that still needs validation. It places evidence, mechanisms, counterevidence, alternative explanations, and uncertainty within a clear chain of reasoning. For time-sensitive, controversial, specialized, or high-risk facts, it can use targeted web searches and verify original sources. When sources conflict, it preserves the differences rather than filling gaps with unverified data or overly certain claims. The final output typically includes a problem profile; the framework selection and analysis of each framework; areas of agreement and disagreement across perspectives; sensitive variables; blind spots and failure conditions; and conditional conclusions with confidence levels. It does not replace professional medical, legal, investment, tax, or other advice. Instead, it helps you identify the factors that truly affect judgment and design minimal validation steps, information-gathering plans, decision gates, or reversible next steps. Simple questions can be condensed into a brief assessment, while complex or multi-subject tasks can be developed into a complete analytical report.
LessWrong: Disputes & Decisions
Turn controversial issues, policy discussions, article arguments, and comment-section disputes into clearer, testable analysis that can guide action. This skill draws on the LessWrong rationalist tradition, but does not represent an official LessWrong position. Its focus is not on winning debates, but on distinguishing facts, causal explanations, value judgments, policy proposals, predictions, and personal strategies—and avoiding the mistake of treating emotion, conviction, or volume as evidence. It helps you examine evidence quality, unknowns, base rates, and alternative explanations; identify exaggerated claims such as “everyone thinks,” anecdotal reasoning presented as a general rule, attacks on motives, and identity-based arguments; and steelman the other side’s most reasonable position. It also looks for the real disagreements that would change the conclusion and analyzes the relationship between incentives, constraints, and practical action. Whether you are reviewing a controversial article, improving your own argument, understanding a comment-section conflict, or comparing options with incomplete information, you will receive tentative conclusions, key reservations, conditions for updating your judgment, and suggested next steps. For time-sensitive or specialized facts, it will clearly identify what needs further verification rather than filling gaps with false certainty.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
- Use cases
- Research & analysisBusiness & strategyInvestment & finance
- What you get
- ReportPlan