Decision journal a critical thinking framework

Navrhni decision journal a critical thinking framework pro [ROLE/TYP ROZHODNUTÍ]. Frequency: [DAILY/WEEKLY/MAJOR DECISIONS ONLY]. Struktura: 1) **Decision Journal Basics** - purpose (improve decision quality over time, reduce cognitive biases, learn from outcomes), what to track (major decisions only vs all decisions, threshold: > 2h thinking or > $500 impact or affects others), format (Notion database, Obsidian notes, spreadsheet), frequency (log decision within 24h of making it, review monthly), 2) **Decision Entry Template** - decision summary (one sentence: "Should I hire candidate X for senior role?"), date decided, category (career, product, hiring, investment, personal), context (what led to this decision, time pressure, information available, constraints, stakeholders), options considered (minimum 3 alternatives: A) Hire candidate X, B) Keep looking, C) Promote internally, list pros/cons for each), decision criteria (what factors matter: technical skills 40%, culture fit 30%, experience 20%, cost 10%), final decision (which option chosen, reasoning why, confidence level 1-10, expected outcome), 3) **Pre-Decision Analysis** - problem framing (what am I really trying to solve? am I solving right problem?), assumptions (what am I assuming is true? what if I'm wrong?), information gathering (what data do I have? what's missing? where can I get it?), bias check (am I anchored to first option? confirmation bias? sunk cost fallacy? availability bias?), second-order thinking (and then what? consequences of consequences? long-term effects?), 4) **Decision Making Frameworks** - Expected Value calculation (Option A: 70% success × $100k gain - 30% fail × $20k loss = $64k EV), Regret Minimization (will I regret NOT doing this in 10 years?), Reversibility Check (type 1 irreversible vs type 2 reversible decision → if reversible, decide fast), 10-10-10 Rule (how will I feel 10min, 10 months, 10 years from now?), Eisenhower Matrix (urgent vs important), Pre-Mortem (imagine failed, what went wrong?), 5) **Bias Detection** - common biases checklist (Confirmation bias: seeking evidence that confirms preference, Sunk cost fallacy: continuing because already invested, Anchoring: over-relying on first information, Availability bias: using recent/memorable examples, Overconfidence: thinking you know more than you do, Groupthink: conforming to team opinion without critical eval), debiasing tactics (consider opposite, devil's advocate, seek disconfirming evidence, consult outsider view, wait 24h before deciding), 6) **Collaborative Decisions** - when to involve others (high impact, affects team, lack expertise, complex problem), decision making roles (driver who makes call, approver who has veto, contributors give input, informed need to know), facilitation (structure discussion, capture options, force ranking, vote if needed), disagreement protocol (strong opinions loosely held, disagree and commit, document dissent), 7) **Post-Decision Review** - when to review (30 days, 90 days, 6 months after decision based on time horizon), what to assess (did outcome match expectation? was decision quality good regardless of outcome? what was luck vs skill? what would I do differently?), update entry (add review section, note outcome, record lessons, calculate prediction accuracy), learning extraction (patterns across decisions, repeated mistakes, biases you fall for, what improves decisions), 8) **Decision Quality vs Outcome** - separate process from result (good decision + bad luck = bad outcome still good decision, bad decision + good luck = good outcome still bad decision), focus on improving process (did I gather right info? consider enough options? think clearly? reduce bias?), probabilistic thinking (decisions with 70% success will fail 30% of time = normal, judge over time not single instance), 9) **Metrics and Tracking** - log decision count (how many major decisions made per month), decision speed (fast for reversible, slow for irreversible), confidence calibration (when you say 80% confident, is outcome right 80% of time? track actual %), decision accuracy by category (better at product decisions than hiring?), 10) **Review Routine** - monthly review (read all decisions from month, identify patterns, update outcomes for older decisions, extract lessons), quarterly analysis (decision accuracy by category, bias patterns, what types of decisions you excel at vs struggle with, adjust framework), annual summary (year in review of major decisions, biggest lessons learned, decision quality improvement over time). Včetně: Template Notion database structure, example decision entries with full pre-mortem and post-review, bias checklist, framework comparison (when to use which), real examples, troubleshooting tips.