A world-class routine should not behave like a long form. It should collect a small amount of high-value context, then test the underlying skills through different evidence types. These are the dimensions the system can use when deciding what you already know, what transfers, what changes and what deserves the next lesson.
01 · GoalOutcome, use case, depth, time horizon
02 · Prior knowledgeDefinitions, mental models, applied knowledge
03 · TransferSame, different, new, misleading assumptions
04 · Market structureVenues, listings, segments, ownership
05 · RegulationRegulator, rules, investor protection
06 · AccessBrokerage, eligibility, foreign access, friction
07 · InstrumentsShares, classes, funds, derivatives
08 · TradingSessions, auctions, orders, liquidity
09 · SettlementClearing, custody, settlement cycle
10 · ParticipantsRetail, institutions, foreign investors
11 · ReportingFiling cadence, fiscal year, conventions
12 · AccountingStandards, presentation, comparability
13 · TaxInvestor and transaction tax
14 · CurrencyFX exposure, translation, economics
15 · RatesMonetary system and transmission
16 · MacroMacro → sector → earnings transmission
17 · SectorsLocal industry mix and business models
18 · GovernanceOwnership, boards, rights, related parties
19 · DisclosureRequired vs voluntary vs unknown
20 · ValuationGrowth, margins, returns, duration, multiples
21 · LiquidityFree float, depth, concentration, exit
22 · InformationPrimary vs secondary vs promotional
23 · Research sourcesExchange, regulator, issuer, filings
24 · BehaviourNarratives, incentives, crowding, traps
25 · LanguageTerms whose local meaning can differ
26 · CalendarTrading, reporting and event cadence
27 · Business modelCustomers, pricing, moat, unit economics
28 · Growth qualityOrganic, acquired, capital intensity
29 · ReturnsROCE, ROE, incremental returns
30 · CashConversion, working capital, cash needs
31 · Balance sheetDebt, liquidity, liabilities, resilience
32 · Earnings qualityOne-offs, normalisation, accruals
33 · Capital allocationReinvestment, dividends, buybacks, M&A
34 · Competitive dynamicsPricing power, substitutes, entrants
35 · ManagementIncentives, communication, execution evidence
36 · Promoter/insiderOwnership, pledges, transactions
37 · Thesis constructionClaim, evidence, mechanism, assumptions
38 · FalsificationWhat would prove the thesis wrong
39 · UncertaintyKnown, estimated, unknown, unknowable
40 · ConfidenceConfidence vs correctness calibration
41 · RecencyWhat is becoming stale or forgotten
42 · PrerequisitesWhat must be understood before the next skill
43 · PracticeCan the learner apply it to a new case?
44 · TransferCan the learner explain it in another context?
45 · Research behaviourQuestion → source → evidence → conclusion
46 · Source disciplineDoes the learner verify material claims?
47 · Calculation disciplineCan derived figures be reproduced?
48 · ContradictionsCan conflicting evidence be noticed?
49 · Red teamDoes the learner actively seek disconfirming evidence?
50 · Decision hygieneCan facts, assumptions and conclusions stay separate?
51 · AttentionWhat depth can be sustained today?
52 · FrictionWhere does the user repeatedly get stuck?
53 · Error typeKnowledge gap, misconception or careless error
54 · Confidence errorHigh-confidence wrong vs low-confidence right
55 · MasteryRepeated performance across contexts
56 · ForgettingPreviously known skill that is becoming fragile
57 · DifficultyWhether the challenge is actually appropriate
58 · ExplanationCan the learner teach the concept back?
59 · Mental modelCan they explain the mechanism, not just the label?
60 · Real researchCan learning survive outside a quiz?
61 · Market evidenceCan local primary sources be found?
62 · ComparabilityAre two companies/markets genuinely comparable?
63 · ExpectationsWhat does price already assume?
64 · Scenario thinkingBase, upside, downside and failure modes
65 · Time horizonWhich risks matter now vs later
66 · SensitivityWhich assumption actually drives the conclusion?
67 · ConcentrationWhere one variable dominates the thesis
68 · Second-order effectsWhat happens after the first-order change?
69 · IncentivesWho benefits from the narrative?
70 · Narrative resistanceCan the learner separate story from evidence?
71 · UnknownsCan the learner state what is not known?
72 · Source freshnessIs the evidence current enough for the question?
73 · Local contextDoes a foreign rule actually apply here?
74 · Terminology trapsSame word, different institutional meaning
75 · Accounting trapsPresentation vs economic reality
76 · Valuation trapsCheap vs low-quality vs cyclical earnings
77 · Risk trapsVolatility vs fundamental risk
78 · Research completenessWhat important question remains unanswered?
79 · Research stopping ruleWhen is there enough evidence?
80 · Review behaviourDoes the learner revisit weak concepts?
81 · Error recoveryDoes correction change future performance?
82 · Learning preferenceExplain, challenge, research or adaptive
83 · Session length5, 15, 30 or 60+ minute route
84 · Cognitive loadHow much new complexity should enter at once?
85 · ContinuityWhat should be carried forward from the last session?
86 · MotivationUseful progress rather than arbitrary gamification
87 · CuriosityWhich unanswered question naturally leads to the next?
88 · DiscoveryCan the user find the relevant depth without hunting?
89 · TrustCan the user see why the system chose a lesson?
90 · TransparencyCan the learner inspect the reasoning behind the route?
91 · AccessibilityReading, motion, keyboard and mobile needs
92 · Mobile behaviourThumb reach, scanning, short sessions
93 · NavigationNever lose the current place in the learning path
94 · Evidence continuityKeep prior research attached to future learning
95 · Cross-surface signalsCases, labs and research all update the model
96 · Real-world applicationDoes the skill work outside PirePoint?
97 · Calibration qualityIs self-report being corrected by evidence?
98 · Skill interactionDoes weakness in one domain distort another?
99 · Route efficiencyAvoid reteaching what is already proven
100 · Next-best-actionChoose the most useful next intervention
101 · Mastery proofRequire repeated evidence before calling something stable
102 · Transfer proofRequire performance after context changes
103 · FragilityDetect skills that work only with familiar wording
104 · Learning debtTrack skipped prerequisites instead of hiding them
105 · Evidence memoryRemember important misconceptions and corrections
106 · Personal routeAssemble all of the above into one changing routine