Decision-Level Output
Decision-Level Output
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Description
Clear system analysis, actionable plans, and even direct decision support.
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ResearchIs It Worth It? Decision Pro
One decision due diligence, delivered as a four-part package. “Is It Worth It?” doesn’t give you a simple “do it” or “don’t do it.” Instead, it treats a life decision like an investment due diligence process: first, it measures your personal priorities (the answer can differ for someone earning 5,000 a month versus 50,000), then checks four red lines—legal, health, financial, and relationship risks. It searches academic papers and official data, models the costs, benefits, and evidence levels, calculates a 10-year total, and runs sensitivity analysis. Finally, it stress-tests the decision with a pre-mortem, base rates, and a bias checklist, then designs a “minimum viable experiment” to buy information at low cost. You’ll receive: ① An interactive decision dashboard (web): a four-dimension radar, value-for-money gauge, 10-year cash flow, draggable sensitivity sliders to see when the conclusion flips, an evidence pyramid, risk matrix, 90-day action map, saveable review ledger, and 3:4 share cards. ② A decision due diligence report (document): conclusion, calculations, evidence chain, risks, and actions—ready to archive or print. ③ A 90-day action map: what to validate in week 1, where the stop-loss line is, what conditions trigger an exit, and when to review. ④ A decision review ledger: record predictions and outcomes to improve your judgment calibration. Suitable for: graduate school vs. work, whether to change jobs, whether to buy a home, whether to start a business, whether to pursue a PhD, whether to end a relationship, whether to accept an offer, whether to have surgery, and whether to move to another city. The method is rigorous: every piece of evidence is labeled A/B/C with its original source; figures are recorded together with confidence intervals; if something can’t be found, it says so plainly; and all rating formulas are公开 so you can recalculate them yourself. The methodology pays tribute to the open-source project “The High Value-for-Money Life Guide” (github.com/eternity4719/HowToLiveBetter), with four upgrades: personalized weighting, a 10-year total, falsification stress tests, and “buying information.”
B2B Collaboration Feasibility
Input a client name, output a deal feasibility report ready for decision meetings. Process: Company profiling research → Value chain breakdown (including in-house/outsourcing assessment) → Scenario matching matrix → Hard constraint veto → Six-dimension weighted scoring (1-10) → Decision chain and 30/60/90-day action plan → Verification checklist. Produces both YouMind document and web report. Three key differences from ordinary client analysis: ① Will say 'no'. Things your solution cannot do are recorded in the 'Solution Profile', and boundary-crossing scenarios are directly vetoed, without masking through rhetoric. ② First determine whether the process is in-house or outsourced. No matter how painful the client's problem is, if that process has already been outsourced, the buyer is their supplier; the client entity has changed, and it must be assessed separately. ③ Check if value metrics can align. You talk about defect rate, the client talks about government assessment scores; proposals without a 'conversion rate' between the two languages will be rejected during financial review. Our capabilities are injected once via the 'Solution Profile' and reused long-term, applicable to any industry and any B2B solution (hardware/software/service/integration). Built-in value chain decomposition for seven types of industries: discrete manufacturing, retail chain, software/internet, B2B services & finance, energy & infrastructure, healthcare/education/government, and project-based integration, along with a mixed-ownership decision chain template. Every key piece of information is required to be labeled as fact/inference/unknown to avoid using inference as fact. Trigger words: client assessment, cooperation feasibility, client analysis, deal assessment, worth pursuing, can we take it, client screening.
Should I Do It? Analysis
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.
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- v1
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