change-one-thing

name	change-one-thing
description	Reflective career analysis exercise identifying one non-obvious career pivot point
disable-model-invocation	true

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Reading Your Career History

@$1

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The Time Travel Exercise

You can travel back in time to any point in your career and change only ONE thing. What's the single most impactful non-obvious change, at what specific moment, and why?

Scope & Constraints

EXCLUDE (too obvious):

• Simple salary negotiations at current employer
• Binary job acceptance/rejection without deeper analysis
• Tenure decisions without strategic context
• Credential timing without market positioning analysis
• Simple promotion pursuit decisions

RECONSIDER (may be non-obvious when analyzed deeply):

• Geographic/geopolitical positioning decisions (where you lived/worked)
• Industry/company moves if they represent inflection points
• Repatriation timing and destination choices
• Market timing decisions with compounding effects

INCLUDE (non-obvious, high-compounding):

• Skill development sequencing or parallel building choices
• Relationship cultivation patterns (mentors, sponsors, peers, adjacent domains)
• Platform/tool adoption timing (early personal vs. late enterprise adoption)
• Intellectual property distribution decisions (internal use vs. public amplification)
• Communication habits or visibility systems (writing, speaking, teaching cadence)
• Knowledge management infrastructure (documentation, frameworks, tooling)
• Cross-domain bridge building (adjacent industries, hybrid skill intersections)
• Side projects or optionality creation (consulting, teaching, open source, thought leadership)
• Learning meta-skills vs. domain skills (teaching ability, product sense, storytelling)
• Strategic positioning vs. tactical execution (brand, reputation, network effects)

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Analysis Framework & Instructions

Critical Preliminary Step: User Interview

BEFORE conducting analysis, ASK THE USER these critical questions to avoid recommending infeasible or values-misaligned changes:

Internal Constraints Questions:

1. Relationship & Family Timeline:

   • When did you meet your spouse/partner? Where?
   • Do you have children? When were they born?
   • Did any geographic move directly enable/prevent meeting your spouse?
   • Did family obligations (aging parents, partner's career) influence any relocations?

2. Financial State at Key Decision Points:

   • [Year of major decision] (if applicable): Savings/debt level? Could you afford major investments (property, business)?
   • [Year of inflection point] (if applicable): Financial capacity for side projects? Risk tolerance?
   • At each major decision point: Could you afford to fail financially?

3. Health & Energy History:

   • Did you experience burnout at any point? When and why?
   • Why did you REALLY leave [previous role/location]? (career or personal reasons?)
   • Energy levels: Have you had sustained periods of high energy or low energy?

4. Information State at Decision Points:

   • What did you NOT know at critical junctures that you know now?
   • What surprised you about career outcomes (positive or negative)?
   • If you could tell your past self ONE thing, what would create maximum value?

Optimization Target Questions:

5. Primary Life Goals - Rank by Importance (1-5):

   • Maximum wealth (net worth at retirement)
   • Maximum career satisfaction (fulfillment, recognition, status)
   • Maximum optionality (freedom to choose, flexibility, autonomy)
   • Maximum life satisfaction (family, health, relationships, balance)
   • Maximum legacy (impact on others, people mentored, contribution)

6. Regret Minimization Frame - What would you regret MORE:

   • Not making $1M-3M more in lifetime earnings?
   • Not spending enough time with family/relationships?
   • Not teaching/helping/mentoring more people?
   • Not taking bold creative/entrepreneurial risks?
   • Not building something meaningful beyond your job?

7. Tradeoff Tolerance - Would you accept:

   • 10-20% less wealth for 30-50% more family time?
   • 20-30% less stability for 50-100% more optionality/freedom?
   • 30-40% less compensation for 2-3x more impact/legacy?
   • Higher short-term effort (49-hour weeks) for long-term compounding gains?

8. Irreversibility Acceptance:

   • If a recommendation means "you never meet your spouse" (butterfly effect), is that acceptable?
   • If a recommendation requires relocating away from aging parents, is that acceptable?
   • If a recommendation requires sacrificing 5 years of family time, is that acceptable?

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Record user responses before proceeding. Analysis MUST align with stated values.

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Phase 1: Comprehensive Pattern Recognition (16-Lens Analysis)

Organized into 4 analytical phases covering external patterns, internal constraints, temporal mechanics, and probabilistic outcomes.

PHASE 1A: EXTERNAL CAREER PATTERNS (Lenses 1-7)

For each lens below, provide specific evidence from the resume with dates, roles, projects, and outcomes. Identify patterns across the entire career arc, not isolated incidents.

1. Skill Trajectory Analysis

• Map skill acquisition timeline: What was learned when, and in what sequence?
• Identify serial vs. parallel skill development patterns
• Find skill combinations that created unique positioning or unlocked opportunities
• Detect "just-in-time" learning vs. "speculative investing" in capabilities
• Highlight skills that were built for employers vs. for personal optionality
• Note missing meta-skills despite demonstrated aptitude (teaching, product, systems design)

Critical question: What skill, learned 5+ years earlier or in parallel, would have created exponential rather than linear career value?

2. Network & Relationship Patterns

• Catalog evidence of mentorship given (downward) vs. sought (upward/sideways)
• Identify cross-industry or cross-functional relationship building (or absence)
• Examine professional association engagement depth vs. breadth
• Detect patterns of transactional vs. strategic network building
• Note bridge relationships to adjacent domains (tech, academia, media, consulting)
• Assess sponsor cultivation vs. peer/subordinate relationship investment

Critical question: What relationship-building system or habit, started at a credibility inflection point, would have created 10x more opportunity flow?

3. Technical Decision Points

• Identify technology adoption moments: Early adopter? Late adopter? Enterprise-only?
• Map platform choices that created lock-in or portability
• Detect tools/systems that became personal signature capabilities
• Find technology investments made reactively (job requirement) vs. proactively (curiosity/foresight)
• Examine build vs. buy decisions for frameworks, models, tools
• Note missed opportunities to open-source or productize technical work

Critical question: What technology, learned/adopted 2-3 years before it became mainstream, would have positioned you as "the expert" in that domain?

4. Learning & Growth Gaps

• Compare domain credentials obtained vs. meta-skill credentials not pursued
• Identify demonstrated capabilities (teaching, product design) without formal validation
• Find learning opportunities adjacent to roles that weren't pursued (e.g., UX, programming, executive education)
• Detect implicit expertise that was never formalized or certified
• Note teaching/training/speaking opportunities not taken despite educator aptitude

Critical question: What meta-credential or formalized expertise in an area of demonstrated strength would have unlocked a career tier-change?

5. Visibility & Communication

• Inventory intellectual property created: frameworks, models, research, whitepapers
• Map distribution scope: Internal only? One publication? Systematic amplification?
• Assess platform building: Speaking, writing, teaching, podcast, newsletter, blog, book
• Examine peer-reviewed publications vs. potential publication opportunities missed
• Detect exceptional work that remained invisible beyond immediate stakeholders
• Compare creation volume vs. distribution volume (high creation, low distribution = common pattern)

Critical question: What systematic content distribution system (not one-off publication), started at a credibility peak, would have created compound visibility and inbound opportunity flow?

6. Cross-Pollination Opportunities

• Identify inflection points where unique skill combinations created "acquirer-target profile"
• Map adjacent industries/roles that would have valued hybrid expertise (e.g., PropTech product, consulting)
• Detect moments of demonstrated innovation that could have bridged to new domains
• Find opportunities to package expertise as products, methodologies, or services
• Note platform/company pivot points where you could have joined the tools you mastered

Critical question: At what moment did you achieve a unique combination of [domain expertise + innovation + measurable outcomes] that would have made you attractive to adjacent high-value markets, and what positioning action would have signaled availability?

7. Geographic & Geopolitical Positioning

• Map complete geographic career arc with compensation, timing, and context
• Identify relocation decisions: Why that city/country? What alternatives existed?
• Analyze market timing: Moving to/from markets at inflection points
• Examine network effects: Where were the strongest relationship ecosystems?
• Assess real estate wealth creation opportunities by geography
• Compare actual path to alternative geographic scenarios (with evidence)
• Identify repatriation timing decisions and destination choices

Critical question: At what geographic inflection point (relocation, repatriation, or staying decision) did you optimize for short-term comfort/salary over long-term compounding (network, real estate equity, market positioning), and what would the alternative path have unlocked?

Analysis Requirements:

• Document ALL relocations with dates, compensation changes, and rationale
• Identify 2-3 year career gaps and their geographic context
• Map network strength by geography (where were your strongest connections?)
• Calculate real estate opportunity costs (could you have bought property? When? Appreciation?)
• Examine cultural/market fit (where did you perform best? Feel most aligned?)
• Consider geopolitical timing (market booms, crisis recoveries, regulatory changes)

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PHASE 1B: INTERNAL CONSTRAINTS & CONTEXT (Lenses 8-10)

These lenses test the feasibility of potential recommendations based on personal circumstances.

8. Personal Life & Family Dynamics

Critical Pattern Recognition:

• Map relationship timeline: When did key relationships form? Where?
• Children timeline: When born? How did this affect time/energy/risk capacity?
• Partner career constraints: Did spouse's job limit your geographic mobility?
• Family obligations: Aging parents, caregiving responsibilities, health issues
• Life stage transitions: Single → relationship → marriage → children → empty nest

Evidence to Examine:

• Career gaps often coincide with relationship/family events
• Geographic moves often driven by relationship formation or family needs
• Compensation decisions may reflect family financial needs (kids, mortgage, tuition)
• Exit timing from roles may correlate with family milestones

Critical Question: Which career decisions were actually relationship/family decisions disguised as career decisions? (e.g., "returned to Toronto for better opportunities" = actually "returned for relationship")

Butterfly Effect Mapping:

• If you had stayed in [Location X], would you have met your spouse?
• If you had taken [Job Y], would your family situation be different?
• Which decisions are you happy you made regardless of career outcome because of personal life benefits?

9. Financial Capacity & Risk Tolerance Evolution

Capital Availability Analysis (Critical for feasibility testing):

Create table for each major decision point:

Decision Point	Age	Savings/Assets	Debt	Risk Capacity	Risk Tolerance	Gap
[Major career transition]	[Age]	$[Amount]	$[Amount]	[High/Med/Low]	[High/Med/Low]	[Can afford to fail?]
[Career inflection point]	[Age]	$[Amount]	$[Amount]	[High/Med/Low]	[High/Med/Low]	[Can invest in side projects?]

Risk Capacity vs. Risk Tolerance:

• Capacity: Objective financial ability to withstand loss (savings, job security, dependents)
• Tolerance: Subjective psychological comfort with uncertainty
• Gap: When tolerance > capacity = dangerous; when capacity > tolerance = missed opportunities

Financial Sophistication Timeline:

• When did you understand real estate as wealth creation?
• When did you understand equity compensation value?
• When did you understand platform/business building economics?
• Critical: Lack of knowledge at decision point makes certain moves impossible even if capital existed

Critical Questions:

• At each inflection point, did you have capital to execute wealth-building moves?
• Did you understand the mechanism (real estate equity, platform compounding, equity value)?
• Was risk tolerance constrained by life stage (kids, mortgage, family obligations)?

10. Health, Energy & Burnout Trajectory

Energy Capacity Analysis:

Map energy levels across career:

Period	Role/Context	Energy Level (1-10)	Evidence	Burnout Risk
[Year range]	[Role/Location]	[Score]	[Working hours, stress, lifestyle]	[High/Med/Low]
[Year range]	[Gap/transition]	[Score]	[What was happening?]	[Recovery period?]

Burnout Hypothesis Testing:

• Did you leave roles due to burnout rather than opportunity?
• Geographic moves: Escape burnout or pursue growth?
• Career gaps: Recovery periods or job search difficulty?
• Exit timing: Leaving at peak = possible burnout signal

Sustainable Effort Analysis:

• Platform building recommendation = 4 hours/week for 3-5 years
• Feasibility question: Given your life stage at decision point, was this sustainable?
• If you had young children 2015-2020, 4 hours/week might be impossible
• If you were burnt out 2010, "stay Singapore 2 more years" might = health breakdown

Critical Questions:

• What is your actual energy capacity at each life stage?
• Would recommended actions have caused burnout and failure at BOTH job and side project?
• Is there evidence of past burnout that should inform recommendations?

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PHASE 1C: TEMPORAL MECHANICS (Lenses 11-13)

These lenses correct for hindsight bias and map irreversible consequences.

11. Information Asymmetry & Temporal Paradox

CRITICAL FRAMEWORK: Two Time-Travel Modes

Mode 1: Perfect Foresight (UNREALISTIC - Do NOT use)

• You go back knowing: Vancouver appreciates 190%, VTS IPOs 2021, PropTech 7x funding
• This is cheating - equivalent to "just buy Bitcoin at $1"
• Not useful for extracting strategic principles

Mode 2: Strategic Upgrade (REALISTIC - Use this)

• You go back with TODAY'S frameworks but ONLY information available THEN
• You understand platform building compounding, but don't know LinkedIn algorithm changes
• You understand real estate wealth creation, but don't know Vancouver will boom specifically
• You have better decision-making frameworks, not perfect prediction

Information State Analysis (for each decision point):

Decision Point	What You Knew Then	What You Know Now	Knowable with Better Framework?
[Geographic choice]	[Limited info]	[Market appreciation %]	NO - unpredictable
[Geographic choice]	[Limited info]	Real estate = wealth creation	YES - learnable principle
[Platform opportunity]	[Limited info]	[Platform trend specifics]	MAYBE - observable trend
[Platform opportunity]	[Limited info]	Platform compounds exponentially	YES - learnable principle

Hindsight Bias Correction:

• Remove recommendations that require predicting specific outcomes
• Keep recommendations that apply learnable frameworks to available information
• Example: "Buy property in supply-constrained market" (framework)
• Example: "Buy Vancouver specifically because it will 2x" (prediction)

Critical Questions:

• What was unknowable at the decision point even with better frameworks?
• What was learnable through frameworks that you lacked then?
• Which recommendations require prediction vs. framework application?

12. Butterfly Effects & Path Dependencies

Irreversible Fork Mapping:

For each major decision, map what becomes IMPOSSIBLE if alternative path chosen:

Example Structure:

DECISION: [Geographic move to Location A] [YEAR] (ACTUAL)

ENABLES:
- Meeting [spouse] in [Location A] [year]
- Children: [names, ages] - born in [Location A]
- [Professional network]: [Region/sector] connections
- [Employer opportunity] [year]
- [Key achievement] (company-specific success)

PRECLUDES:
- [Alternative region] network depth
- [Alternative location] property equity
- [Alternative employer] career path
- Different spouse/family if met someone in [Alternative location]

ALTERNATIVE: Stay [Location B] [YEAR RANGE]

ENABLES:
- [Regional] network (Nx larger)
- [Location B] property equity ($X-$Y)
- Regional speaking circuit
- Earlier [industry] exposure

PRECLUDES:
- Meeting [Location A] spouse (if geographic-dependent)
- Current children (different partner = different kids)
- [Company]-specific achievements
- [Home region] network depth

The Identity Question:

• Are we recommending a different life or same life, better optimized?
• If "Stay [Location]" = different spouse/kids, is that the same person?
• Would you trade current family for $[X]M more wealth?

Path Dependency Chain:

Map cascading dependencies:

1. [Geographic decision] [Year] -> Meet spouse [Year+1] -> Married [Year+3] -> Kids [Year+5] ->
2. Need family income -> Stay at [Employer] longer -> Delay career pivot ->
3. Eventually leave [Year] -> [Next role] -> [Current role] [Year]

Critical Questions:

• Which decisions were one-way doors (can't undo)?
• Which achievements were path-dependent (only possible because of prior choices)?
• If you change the inflection point, what disappears from your life?

13. Irreversibility & Option Value Preservation

Decision Reversibility Classification:

Decision Type	Examples	Reversibility	Option Value
Reversible	Platform building, consulting, speaking	High - can stop anytime	PRESERVES future options
Semi-reversible	Job changes, skill learning, certifications	Medium - career capital but network decay	NEUTRAL on options
Irreversible	Geographic moves, marriage, children, immigration	Low - can't undo life choices	CONSUMES options (but may be worth it)

Option Value Calculation:

High Option Value Moves (preserve or create future choices):

• Platform building: Can pivot to consulting, teaching, products, speaking
• Consulting: Can return to employment or scale to firm
• Generic skills: Transferable across industries/geographies
• Geographic flexibility: Can relocate for opportunities

Low Option Value Moves (commit to specific path):

• Specialist expertise: Deep in narrow domain, hard to pivot
• Single employer long tenure: Network/skills may not transfer
• Geographic lock-in: Property ownership, family roots, school

The Option Premium:

• Sometimes LOWER expected value but HIGHER option value is better
• Example: Consulting at $175K (high options) vs. VP at $200K (golden handcuffs)
• Optionality has value even if you never exercise it (insurance)

Critical Questions:

• At each decision point, did you preserve or consume optionality?
• Were low-option moves worth it? (e.g., geographic lock-in for family)
• Should recommendations prioritize reversible experiments over irreversible commitments?

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PHASE 1D: PROBABILISTIC OUTCOMES (Lenses 14-16)

These lenses separate skill from luck and model variance.

14. Luck Surface Area & Serendipity Manufacturing

The Luck Equation:

Luck = Preparation x Surface Area x Randomness

Surface Area Analysis:

Activity	Surface Area Metric	Annual "At Bats"	Probability of "Lucky Break"
Platform building (25K followers)	250 engaged readers/month	3,000/year	~5-10% (150-300 qualified leads)
Corporate job only	~100 professional contacts	5-10 new contacts/year	~0.5-1% (1-2 opportunities)
Speaking circuit (20 gigs/year)	~1,000 attendees	20 events	~10-20% (100-200 quality connections)

Serendipity Mechanisms:

1. Network Effects: More followers -> More engagement -> More inbound leads
2. Credibility Cascade: Publication -> Speaking -> Book -> Media -> Consulting
3. Platform Multiplier: One viral post -> 10x reach -> Quantum leap in opportunities

Geographic Serendipity:

• [Location A] [Year range]: Likely to meet [industry sector] founders/leaders
• [Location B] [Year range]: Likely to meet [professional network], attend industry events
• [Location C] [Year range]: Likely to meet [emerging sector], [cross-regional] bridge builders

The Manufactured Luck Hypothesis:

• Platform building doesn't guarantee specific outcomes
• But it increases probability of lucky breaks by 10-50x
• Success = skill x (many attempts) x (slightly higher probability each time)

Critical Questions:

• Which recommendations manufacture luck vs. rely on single lucky break?
• How many "at bats" does each path provide?
• Is variance friend (many attempts) or enemy (all-or-nothing bet)?

15. Values Hierarchy & Identity Evolution

Values Timeline Reconstruction:

Age/Period	Life Stage	Likely Top Values	Evidence from Choices
[Age] ([Year])	Young professional	Career, growth, money, adventure	[Geographic/role choice showing values]
[Age] ([Year])	???	???	[Major decision] - WHY?
[Age] ([Year])	Established mid-career	Expertise, achievement, security	[Career choice showing values]
[Age] ([Year])	???	???	[Exit decision] - WHY?

The Hidden Values Evidence:

Decisions reveal values better than words:

• Geographic moves -> What were you optimizing for?
• Exit timing -> What pushed you to leave despite success?
• Career gaps -> What were you prioritizing instead of career?
• Compensation tradeoffs -> What did you value more than money?

Identity Evolution:

[Early career period] Identity ([Major decision]):

• "Ambitious professional climbing ladder"
• "Experience seeker, risk-taker"
• Values: Career >> Family >> Stability

[Mid-career period] Identity ([Major transition]):

• "???" <- This is the mystery
• Possible: "Relationship prioritizer", "Burnt out professional", "Seeking change"
• Values: ??? >> Career (something outranked career)

[Later career period] Identity ([Major exit/pivot]):

• "???" <- Another mystery
• Possible: "Flexibility seeker", "Independent professional", "Portfolio career builder"
• Values: Autonomy/Flexibility >> Corporate compensation

The Identity-Recommendation Alignment:

Recommendation	Required Identity	Your Demonstrated Identity	Alignment
"Stay [Location], maximize wealth"	"Career-first striver"	"???" (return decision suggests NOT this)	LOW
"Platform building [Year]"	"Teacher/educator"	[Teaching evidence from career]	[High/Med/Low]
"Geographic arbitrage [Year]"	"Flexibility-seeking professional"	[Consulting/independence evidence]	[High/Med/Low]

Critical Questions:

• What do your ACTUAL decisions reveal about your core values?
• If recommendations conflict with demonstrated values, should we recommend differently or question the values?
• Has your identity evolved? (30-year-old you != 50-year-old you)

16. Market Timing & Skill vs. Luck Attribution

Success Decomposition Analysis:

For each major achievement, calculate:

Total Success = Skill Component x Timing Component x Luck Component

Example: [Major Career Achievement]

Component	Contribution %	Replicable?	Evidence
Skill	[%]	YES	[Frameworks, systems, methodologies you developed]
Timing	[%]	NO	[Market boom/trend that was external to you]
Luck	[%]	NO	[Specific circumstances, management support, right place/time]

Portability Test:

• Could you replicate [achievement metric] at different employer in different time period?
• Skill components: [YES/NO] (frameworks are/aren't portable)
• Timing components: [YES/NO] (market conditions were unique/replicable)
• Verdict: [Full/Partial/No] replicability (~[%] of results)

Timing Windows Analysis:

Opportunity	Window Open	Window Closed	Duration	Did You Capture?
[Market opportunity 1]	[Year]-[Year]	[Year]	[Duration]	[Yes/No + context]
[Market opportunity 2]	[Year]-[Year]	[Year]+	[Duration]	[Yes/No + context]
[Technology/platform window]	[Year]-[Year]	[Year]-[Year]	[Duration]	[Yes/No + context]
[Industry boom]	[Year]-[Year]	[Year]+	[Duration]	[Yes/No + context]
[Content platform golden era]	[Year]-[Year]	[Year]+	[Duration]	[Yes/No + context]

The Timing Paradox:

• Some opportunities ONLY exist in specific windows
• Missing the window = can't recapture value later
• But: You can't know windows in advance (information asymmetry)
• Solution: Position for optionality so you can capitalize when windows appear

Critical Questions:

• Which successes were skill (replicable) vs. timing (unrepeatable)?
• Which missed opportunities were timing windows that are now closed?
• Which recommendations rely on timing that may not recur?

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Phase 2: Multiple Change Recommendations

After completing the seven-lens analysis, synthesize findings into 2-4 CANDIDATE recommendations ranked by impact, then select the ultimate "one change."

Step 1: Generate Candidate Recommendations

Identify 3-5 distinct "one change" candidates from different lenses, optimized for different objectives:

Candidate A: Wealth Maximization

• Often geographic/positioning decision (e.g., "Stay in [high-growth market] [Year]")
• Optimization target: Maximum net worth at retirement
• Typical tradeoffs: Sacrifices family time, relationships, health, geographic flexibility
• Best for: Career-first strivers, single/no kids, high risk tolerance

Candidate B: Platform/Optionality Building

• Often visibility/communication decision (e.g., "Launch content system [Year]")
• Optimization target: Maximum future options + moderate wealth
• Typical tradeoffs: 5-10% working time for 3-5 years, public vulnerability
• Best for: Demonstrated teachers/educators, strong written communication

Candidate C: Career Satisfaction + Impact

• Often network/relationship or teaching decision (e.g., "Join [industry company] [Year]" or "University adjunct [Year]")
• Optimization target: Maximum fulfillment + recognition + legacy
• Typical tradeoffs: 20-40% less comp for 2-3x more impact
• Best for: Mid-career professionals seeking meaning over money

Candidate D: Life Balance Optimization

• Often geographic or flexibility decision (e.g., "Return [home city] [Year] + buy property")
• Optimization target: Maximum life satisfaction (family, health, balance)
• Typical tradeoffs: Lower wealth ceiling for higher quality of life floor
• Best for: Family-focused professionals, burnout recovery, geographic roots

Candidate E: Reversible Experiment

• Often skill/credential or side project (e.g., "Launch consulting practice [Year]")
• Optimization target: Low-risk option preservation
• Typical tradeoffs: Slower wealth accumulation but maximum flexibility
• Best for: Risk-averse, career transitions, maintaining employment

For each candidate, create summary table:

Candidate	Change Description	Optimization Target	10-Year Value Estimate	Feasibility (Constraints)	Alignment with User Values
A	[Specific change]	Wealth max	+$[Amount]	[High/Med/Low]	[High/Med/Low - based on user interview]
B	[Specific change]	Optionality	+$[Amount] + [Options]	[High/Med/Low]	[High/Med/Low]
C	[Specific change]	Impact/satisfaction	+[Intangible]	[High/Med/Low]	[High/Med/Low]
D	[Specific change]	Life balance	+[Quality of life]	[High/Med/Low]	[High/Med/Low]
E	[Specific change]	Risk minimization	+[Moderate returns]	[High/Med/Low]	[High/Med/Low]

Step 2: Selection Criteria (Rank candidates by weighted importance)

1. Compounding Duration (30%): Earlier changes with longer compounding windows score higher
2. Non-Linearity (25%): Changes that create network effects, exponential growth, or step-function outcomes
3. Leverage (20%): Maximum impact for minimal time/cost investment (high ROI)
4. Specificity (15%): Concrete, actionable, implementable (not vague advice)
5. Non-Obviousness (10%): Genuinely surprising; something 90%+ of people in the same situation wouldn't think to do

Step 3: Select the Ultimate "One Change" (Values-Aligned Selection)

Selection Method: Do NOT automatically pick highest $ value. Instead:

1. Apply Feasibility Filter: Remove candidates with LOW feasibility (no capital, no energy, family conflict)
2. Apply Values Filter: Rank remaining by alignment with user's stated optimization target (from interview)
3. Apply Butterfly Effect Filter: Flag candidates that destroy what user values (e.g., "never meet spouse")
4. Select top 1-2 candidates that pass all filters AND align with demonstrated values

Recommendation Philosophy:

• If user values life satisfaction > wealth, recommend Candidate D even if Candidate A has higher $
• If user would never sacrifice family, exclude any candidate requiring geographic separation
• If user has low risk tolerance, exclude high-variance all-or-nothing bets

Present finalist(s) with this framing:

RECOMMENDED: Candidate [X] - [Name]

Why this beats alternatives:
- Aligns with your stated priority: [User's #1 value]
- Feasible given constraints: [Capital/Energy/Family]
- Preserves what you value: [Family/Relationships/Health]
- Sacrifices: [What you give up - be honest]
- Expected outcome: [Quantified + intangible benefits]

Alternative to consider: Candidate [Y] - [Name]
- Offers: [Different tradeoff]
- Choose this if: [Conditions where it's better]

Then develop the selected recommendation fully using this structure:

Required Output Structure for Final Recommendation:

THE ONE CHANGE: [One sentence: "At [SPECIFIC DATE/ROLE], you should have [SPECIFIC ACTION] by [SPECIFIC METHOD]"]

WHY THIS MOMENT:

• What credibility/capability convergence made this the optimal timing?
• What external market conditions created a window?
• Why earlier would be too soon, later would miss compounding?
• What specific career evidence proves readiness?

THE SUBTLE EXECUTION (Non-Obvious Elements):

• Not just WHAT, but exactly HOW (time commitment, sequence, milestones)
• Month-by-month breakdown for Year 1
• Year-by-year evolution for Years 2-5
• Specific platforms, forums, or channels (not generic "build a blog")

WHAT THIS UNLOCKS (Compounding Timeline):

• Years 1-2: [Immediate effects with evidence]
• Years 3-5: [Secondary network effects with evidence]
• Years 6-10: [Exponential/step-function outcomes with evidence]
• Quantified estimates where possible: [$X income delta, Y followers, Z speaking engagements, etc.]

WHY THIS IS NON-OBVIOUS:

• What makes this subtle rather than obvious?
• What percentage of time/effort required (should be <5-10% of working hours)?
• Why wouldn't a typical career advisor suggest this?
• What psychological barrier likely prevented this?

THE PSYCHOLOGICAL BARRIER:

• Based on career patterns, what mindset, belief, or assumption likely blocked this action?
• Provide specific evidence from career choices that reveal this barrier
• Not generic (e.g., "fear of failure"), but specific to this person's demonstrated patterns
• Identify the identity-level block (not just time management or awareness)

BUTTERFLY EFFECT ANALYSIS (What Becomes Impossible):

• Map what you would LOSE if this change had been made
• Specific relationships, experiences, achievements that wouldn't exist
• The Identity Question: Is this "same life, optimized" or "different life entirely"?
• Irreversibility Check: What one-way doors would this open/close?
• Honesty requirement: If this means "never meet your spouse," say it explicitly

ALTERNATIVE SCENARIOS (Runner-Up Recommendations):

• Briefly document the 2nd and 3rd ranked changes (with their optimization targets)
• Explain why they scored lower than the primary recommendation
• Note if they could be combined with the primary change for even greater impact
• Identify if any runner-ups are still fully actionable today (whereas the primary might be time-sensitive)
• Multi-optimization strategy: Can you execute multiple recommendations in sequence? (e.g., Platform 2015 + PropTech 2018)

WHAT YOU CAN STILL DO NOW ([CURRENT YEAR]):

• 5-7 specific actions that capture 60-80% of the value starting today
• Prioritized by quick wins vs. long-term investments
• Concrete next steps with timelines
• Include geographic arbitrage options if relevant (relocation, remote work, market timing)

---

Phase 3: Counterfactual Rigor

Address these validation questions with quantified evidence:

1. What DIDN'T happen because the current path was chosen?

Specific Opportunity Costs (create table format):

Window (Years)	Opportunity Lost	Value Estimate	Evidence
Year X-Y	[Specific outcome]	$[Amount] or [Metric]	[Resume evidence]

• Include: Compensation deltas, equity missed, network size, platform reach, credentials not obtained
• Be specific: Not "could have made more money" but "VP role at Company X ($250K) vs actual role ($180K) = $70K/year x 5 years = $350K"
• Document real estate opportunity costs if geographic decision
• Calculate compounding effects (e.g., followers, network contacts, speaking fees over time)

2. What second-order effects would this change have triggered?

Cascading Consequences (map the chain):

• First-order: Direct immediate outcome
• Second-order: What that outcome would have enabled (6-18 months later)
• Third-order: What the second-order outcomes would have unlocked (2-5 years later)

Example structure:

• First-order: Published article -> 5K LinkedIn followers
• Second-order: 5K followers -> Speaking invitations -> Conference network -> Book deal
• Third-order: Book -> University affiliation -> PhD students -> Research collaborations -> Tenure track offer

Key mechanisms to identify:

• Network effects (followers -> engagement -> leads -> revenue)
• Credibility cascades (publication -> speaking -> book -> media -> consulting)
• Geographic cascades (relocate -> buy property -> equity -> leverage for next move)
• Platform cascades (content -> audience -> products -> consulting -> full-time business)

3. What risks or downsides could this change have introduced?

Honest Risk Assessment (probability x impact):

Risk Category	Probability	Impact	Mitigation	Net Assessment
[Risk name]	[High/Med/Low]	[High/Med/Low]	[How to reduce]	[Worth it? Y/N]

Categories to examine:

• Professional: Employer backlash, IP disputes, pigeonholing, career limiting
• Personal: Burnout, relationship strain, time opportunity cost
• Financial: Income volatility, upfront investment, alternative uses of capital
• Psychological: Public criticism, imposter syndrome, identity conflict
• Geographic: Visa issues, cultural misfit, family separation, repatriation difficulty

Calculate risk-adjusted return:

• Expected value = (Probability of success x Upside) - (Probability of failure x Downside)
• Compare to "doing nothing" baseline
• Document which risks are real vs psychological

4. How does this change align with demonstrated strengths vs. require new capabilities?

Capability Audit (80/20 analysis):

LEVERAGE Existing Strengths (document with evidence):

Required Capability	Career Evidence	Readiness Score (1-10)
[Skill/trait]	[Specific examples from resume]	[Score]

NEW Capabilities Required (document learning curve):

New Capability	Difficulty	Time to Acquire	Mitigations
[Skill/trait]	[High/Med/Low]	[Estimate]	[How to accelerate]

The Critical Question:

• Is this 80% leverage, 20% learn (excellent fit) or 50/50 (risky) or 20% leverage, 80% learn (personality transplant required)?
• If requiring major personality change, is there a different recommendation that achieves 70% of the value with 90% existing capabilities?

Identity Alignment Check:

• Does this change require you to be a different person (hard) or do different actions with existing personality (easier)?
• What's the ONE fundamental identity shift required (if any)?
• Is this shift additive (add new dimension) or replacement (become someone else)?

---

Output Quality Standards

• Evidence-grounded: Every claim tied to specific resume data (dates, roles, outcomes)
• Quantified rigorously:
  • Dollar amounts with ranges (conservative/moderate/aggressive scenarios)
  • Timeframes with month/year specificity
  • Percentages, multiples, and compound growth rates
  • Network metrics (followers, connections, reach)
  • Opportunity counts (speaking gigs, consulting clients, job offers)
• Actionable immediately: Reader could execute the "what you can still do now" section tomorrow
• Non-obvious and surprising: Something 90%+ of people in the same situation wouldn't think to do
• Psychologically astute: Demonstrates deep understanding of individual patterns, identity, and barriers
• Counterfactually rigorous: Addresses "what didn't happen" and "what risks existed" honestly
• Multiple scenarios considered: Not just one answer, but ranked alternatives with tradeoff analysis

Special Considerations

For International Careers:

• Always include Lens 7 (Geographic & Geopolitical) with depth
• Map compensation in both local currency AND home currency with exchange rates
• Document visa/immigration status and how it constrained choices
• Analyze real estate opportunity costs in each geography
• Consider repatriation timing and destination alternatives

For Careers with Gaps:

• Investigate WHY the gap exists (laid off? relocated? personal? sabbatical?)
• Gaps often reveal hidden inflection points or missed opportunities
• Document what was happening during the gap (job search? relocating? upskilling?)

For Careers with Demonstrated Teaching/Mentoring:

• Platform building recommendations are usually HIGH-leverage
• Teaching -> Content -> Audience -> Products is proven pattern
• Look for "implicit educator" who never formalized it

For Careers with Publications/IP:

• Distribution gap is common pattern (created IP, didn't amplify)
• Post-publication windows are critical (3-6 months to capitalize)
• One publication -> systematic platform is the missed opportunity

For Technical/Specialized Careers:

• Adjacent domain bridges (PropTech, consulting, education) often missed
• "User of tools" -> "Builder of tools" transition point
• Deep expertise -> teaching/productizing pattern

---

Final Output Format

Deliver analysis in this sequence:

PART 0: USER INTERVIEW RESULTS (Document responses)

• Internal constraints: Family/financial/health/energy state
• Optimization target: Ranked priorities (wealth/satisfaction/optionality/legacy/impact)
• Regret framing: What would they regret MORE
• Tradeoff tolerance: Specific acceptable tradeoffs
• Irreversibility acceptance: Butterfly effect boundaries

PART 1: EXECUTIVE SUMMARY (3-4 sentences)

• The ultimate "one change" recommendation headline
• Why it aligns with user's stated values (not just highest $)
• Estimated total value impact (quantified + intangible)
• Why this beats other alternatives given their priorities

PART 2: 16-LENS PATTERN ANALYSIS (Comprehensive evidence)

Organize by 4 phases:

Phase 1A: External Career Patterns (Lenses 1-7)

• Skill Trajectory, Network, Technical Decisions, Learning Gaps, Visibility, Cross-Pollination, Geographic
• Evidence tables with dates, roles, outcomes
• Critical insights from each lens

Phase 1B: Internal Constraints (Lenses 8-10)

• Personal Life & Family, Financial Capacity, Health & Energy
• Feasibility testing for each potential recommendation
• What is actually POSSIBLE given constraints

Phase 1C: Temporal Mechanics (Lenses 11-13)

• Information Asymmetry (what was unknowable), Butterfly Effects, Irreversibility
• Hindsight bias correction
• Path dependency mapping

Phase 1D: Probabilistic Outcomes (Lenses 14-16)

• Luck Surface Area, Values Evolution, Skill vs. Timing
• Variance modeling, not just expected value
• Success attribution decomposition

PART 3: CANDIDATE RECOMMENDATIONS (3-5 scenarios)

For each candidate (A-E), provide:

• Change description: Specific action, timing, method
• Optimization target: What this maximizes (wealth/optionality/impact/balance/risk-min)
• 10-year value estimate: Quantified with ranges (conservative/moderate/aggressive)
• Feasibility score: High/Med/Low (based on Lenses 8-10)
• Values alignment: High/Med/Low (based on user interview)
• Butterfly effects: What becomes impossible if this path chosen
• Key tradeoffs: What must be sacrificed

Scoring table:

Candidate	Compounding (30%)	Non-Linearity (25%)	Leverage (20%)	Specificity (15%)	Non-Obvious (10%)	Total Score	Values Alignment
A	[Score]	[Score]	[Score]	[Score]	[Score]	[Total]	Low (conflicts with life satisfaction priority)
B	[Score]	[Score]	[Score]	[Score]	[Score]	[Total]	High (aligns with teaching aptitude)
C	[Score]	[Score]	[Score]	[Score]	[Score]	[Total]	Med (moderate fit)

PART 4: THE ULTIMATE RECOMMENDATION (Deep dive on selected candidate)

Present with values-alignment framing:

RECOMMENDED: Candidate B - [Name]

Why this recommendation (not just highest score):
- Aligns with your #1 priority: [User's top value]
- Feasible given constraints: [Specific evidence]
- Preserves what matters: [Family/relationships/health]
- Honest tradeoffs: [What must be sacrificed]
- Expected outcomes: [Quantified + intangible]

Alternative considered: Candidate A - [Name]
- Higher $ value (+$2M more) but conflicts with your stated life satisfaction priority
- Only choose this if you're willing to sacrifice [specific butterfly effect]

Then provide full detailed structure:

• THE ONE CHANGE (one sentence)
• WHY THIS MOMENT (convergence of factors)
• THE SUBTLE EXECUTION (month-by-month Year 1, year-by-year thereafter)
• WHAT THIS UNLOCKS (compounding timeline with quantification)
• WHY THIS IS NON-OBVIOUS (surprising elements)
• THE PSYCHOLOGICAL BARRIER (identity-level block with evidence)
• BUTTERFLY EFFECT ANALYSIS (what becomes impossible)
• ALTERNATIVE SCENARIOS (runner-ups and combinations)
• WHAT YOU CAN STILL DO NOW (immediate actionable steps)

PART 5: COUNTERFACTUAL RIGOR (Validation with quantification)

5.1 Opportunity Costs (What Didn't Happen)

Table format with evidence:

Window (Years)	Opportunity Lost	Value Estimate	Evidence from Resume	Feasibility Constraint
[Year]-[Year]	[Geographic] property equity	+$[Amount range]	[Left location Year, didn't return]	Unknown capital availability [Year]
[Year]-[Year]	Platform building	+$[Amount range] supplemental	[Publication/credential Year, no follow-up]	Unknown energy/family constraints
[Year]-[Year]	[Industry] equity opportunity	+$[Amount range] (est)	[Achievement/award Year, stayed at employer]	Risk tolerance? Family obligations?

Total quantified opportunity cost: $[Conservative range] to $[Aggressive range]

5.2 Cascading Effects (Second & Third Order)

Map the chain with probability weights:

First-order: [Credential/Publication] ([Year]) -> [X] platform followers ([%] probability)
    |
Second-order: [X] followers -> [N] speaking invitations ([%] probability)
    |
Third-order: Speaking circuit -> Book deal ([%] probability)
    |
Fourth-order: Book -> University adjunct ([%] probability | book exists)
    |
Fifth-order: University -> [Outcome] -> [Outcome] ([%] probability | adjunct)

Expected value path: [%] x [%] x [%] x [%] x [%] = [%] probability of end state

Not all cascades are likely - model realistically

5.3 Risk Assessment (Honest downside analysis)

Probability x Impact table:

Risk Category	Specific Risk	Probability	Impact if Occurs	Mitigation	Net Assessment
Professional	Employer backlash for platform	[%]	[High/Med/Low] (context)	Anonymize case studies	[Assessment]
Personal	Burnout from extended hours	[%]	High (fail at both job + side project)	Strict time-boxing, can pause	Monitor carefully
Financial	Side project fails, $[X] sunk cost	[%]	[High/Med/Low] ([%] of annual income)	Start lean, test demand first	[Assessment]
Family	Spouse/partner resentment	[%]	High (relationship strain)	Discuss upfront, set boundaries	Communication critical
Geographic	Miss spouse if stayed [Location]	[%]*	UNACCEPTABLE (different life)	N/A	VETO this option

*If geographic move directly enabled meeting spouse

Risk-adjusted expected value:

Naive EV = $[Amount] ([recommendation type])
Risk-adjusted EV = $[Amount] x (1 - P(burnout x failure)) x (1 - P(relationship damage))
                 = $[Amount] x [probability] x [probability]
                 = $[Amount] risk-adjusted

[Still positive/negative], [%] [higher/lower] than naive estimate

5.4 Capability Alignment (80/20 analysis)

LEVERAGE Existing Strengths:

Required Capability	Career Evidence	Readiness (1-10)	Comments
Technical writing	[Specific documents, publications, page counts]	[Score]/10	[Assessment - proven through X]
Teaching	[Specific teaching/mentoring evidence, outcomes]	[Score]/10	[Assessment - success metrics]
Framework creation	[Specific frameworks, tools, systems created]	[Score]/10	[Assessment - adoption evidence]

LEARN New Capabilities:

New Capability	Difficulty	Time to Acquire	Mitigations	Comments
Public vulnerability	Moderate-High	6-12 months (habit)	Start small, build confidence	Identity-level shift required
Consistent publishing	Moderate	3-6 months (discipline)	Time-blocking, accountability	Needs system, not motivation
Self-promotion	Moderate	6-12 months (reframe)	Position as "service" not "ego"	Conflicts with humility value

The 80/20 Verdict:

• This is 80% leverage, 20% learn (excellent fit)
• Required capabilities align with demonstrated strengths
• New capabilities are skills (learnable) not personality (identity change)
• Identity shift: "Institutional contributor" -> "Public teacher" (additive, not replacement)

PART 6: WHAT YOU CAN STILL DO NOW (Actionable recovery plan)

Immediate Actions (This Week):

1. [30-min win with expected outcome]
2. [60-min win with expected outcome]
3. [90-min win with expected outcome]

Short-term Plays (This Month): 4. [Action with 4-hour commitment] 5. [Action with 6-hour commitment]

Medium-term Plays (This Quarter): 6. [Action with timeline and milestones] 7. [Action with timeline and milestones]

Long-term Plays (6-18 months):

• Option A: [Path with characteristics and fit]
• Option B: [Alternative path with characteristics]
• Option C: [Hybrid combining multiple recommendations]

Geographic Arbitrage Options (if relevant):

• Current location: [Pros/cons]
• Alternative A: [Location + rationale + expected value delta]
• Alternative B: [Location + rationale + expected value delta]

Multi-Recommendation Integration:

• Can you execute multiple recommendations in sequence?
• Example: Platform [Year] (Years 1-3) -> Consulting scale-up [Year+2] (Years 4-5) -> Geographic arbitrage [Year+4]
• Cumulative value: Greater than any single recommendation

---

---

CRITICAL PHILOSOPHY: This Is NOT Generic Career Advice

This framework is designed to produce radically personalized recommendations that:

1. Align with YOUR values, not maximize abstract metrics
2. Test feasibility against real constraints (capital, energy, family)
3. Correct for hindsight bias using "strategic upgrade mode" not "perfect foresight mode"
4. Map butterfly effects honestly (what you'd lose, not just what you'd gain)
5. Model variance and risk, not just expected value
6. Separate skill from luck to identify replicable patterns
7. Preserve what you value even if it means lower financial returns

Rejection Criteria:

A recommendation should be REJECTED if:

• Requires sacrificing relationships/family you value
• Needs capital/energy you didn't have at decision point
• Depends on predicting unknowable future events
• Creates butterfly effect destroying what you value most
• Conflicts with your demonstrated core values/identity
• Requires personality transplant vs. skill building

Success Criteria:

A recommendation is EXCELLENT if:

• You read it and think "I COULD have done that" (feasible)
• You read it and think "I SHOULD have done that" (regret-inducing)
• You read it and think "I WOULD have done that if I'd known this framework" (learnable)
• You can start executing the 2025 version THIS WEEK
• It feels non-obvious (surprising) but inevitable (obvious in hindsight)
• It aligns with who you ARE, not who you think you SHOULD BE

---

Note: This exercise isn't about regret--it's about extracting strategic patterns from your career history to inform high-leverage decisions going forward. The goal is to identify the 1% different choice that would have created 10x different outcomes through compounding effects over time.

The analysis should be:

• Rigorous enough to change behavior (not generic platitudes)
• Specific enough to execute immediately (actionable this week)
• Honest enough to be painful (surfaces real tradeoffs and sacrifices)
• Values-aligned enough to be motivating (not just "make more money")
• Probabilistic enough to be realistic (models variance and risk, not just best-case)
• Evidence-grounded enough to be credible (every claim tied to resume data)

---

OUTPUT DELIVERY INSTRUCTIONS

CRITICAL: You MUST save the analysis to a single file in the following format:

File Output Structure

Primary Output File: {config.directories.career_analysis}/change_one_thing_{YYYYMMDD}.md

Consolidate the full analysis (Parts 0 through 6) into this one timestamped file, in the order described below. Do not split into multiple part files.

Section ordering within the single output file:

• PART 0: User Interview Results (if conducted)
• PART 1: Executive Summary (brief version, 3-4 sentences)
• PART 2: PHASE 1A - External Career Patterns (Lenses 1-7)
  • Skill Trajectory Analysis
  • Network & Relationship Patterns
  • Technical Decision Points
  • Learning & Growth Gaps
  • Visibility & Communication
  • Cross-Pollination Opportunities
  • Geographic & Geopolitical Positioning
• PART 2 (continued): PHASE 1B - Internal Constraints (Lenses 8-10)
  • Personal Life & Family Dynamics
  • Financial Capacity & Risk Tolerance Evolution
  • Health, Energy & Burnout Trajectory
• PART 2 (continued): PHASE 1C - Temporal Mechanics (Lenses 11-13)
  • Information Asymmetry & Temporal Paradox
  • Butterfly Effects & Path Dependencies
  • Irreversibility & Option Value Preservation
• PART 2 (continued): PHASE 1D - Probabilistic Outcomes (Lenses 14-16)
  • Luck Surface Area & Serendipity Manufacturing
  • Values Hierarchy & Identity Evolution
  • Market Timing & Skill vs. Luck Attribution
• PART 3: Candidate Recommendations (3-5 scenarios with scoring)
• PART 4: The Ultimate Recommendation (full detailed execution)
  • THE ONE CHANGE
  • WHY THIS MOMENT
  • THE SUBTLE EXECUTION (month-by-month, year-by-year)
  • WHAT THIS UNLOCKS (compounding timeline)
  • WHY THIS IS NON-OBVIOUS
  • THE PSYCHOLOGICAL BARRIER
  • BUTTERFLY EFFECT ANALYSIS
  • ALTERNATIVE SCENARIOS
  • WHAT YOU CAN STILL DO NOW
• PART 5: Counterfactual Rigor (all 4 validation sections)
  • Opportunity Costs
  • Cascading Effects
  • Risk Assessment
  • Capability Alignment
• PART 6: What You Can Still Do Now (detailed recovery plan)

Prepend an Executive Summary section (<=6,000 tokens) at the top of the file, immediately after any YAML frontmatter and before PART 0, using the template below:

# THE TIME TRAVEL EXERCISE
## Executive Summary -- Career Retrospective Analysis

**Subject:** [Name]
**Analysis Date:** [Date]
**Complete Analysis:** 3-part deep dive ([X] words total)

---

## THE ONE CHANGE

[One clear sentence with the specific recommendation]

---

## WHY THIS MOMENT SPECIFICALLY

[2-3 paragraphs explaining timing convergence]

---

## THE COMPOUNDING TIMELINE

### Years 1-2 (Foundation)
- [Key outcomes with metrics]

### Years 3-5 (Acceleration)
- [Key outcomes with metrics]

### Years 6-10 (Exponential Returns)
- [Key outcomes with metrics by path A/B/C]

---

## THE ECONOMIC IMPACT

### Actual Path (No Platform)
- [10-year outcomes]

### Alternative Paths (With Platform)
- **Conservative**: [outcomes]
- **Moderate**: [outcomes]
- **Aggressive**: [outcomes]

### Lost Opportunity Cost
- [Quantified total]

---

## WHY THIS IS NON-OBVIOUS

[3-4 paragraphs explaining subtlety]

---

## WHAT YOU CAN STILL DO NOW (2025)

### IMMEDIATE ACTIONS (Next 30 Days)
1. [Specific action with timeline]
2. [Specific action with timeline]
...

### 90-DAY SPRINT
- [Monthly breakdown]

### 12-MONTH ROADMAP
- [Quarterly breakdown with financial outcomes]

### 5-YEAR VISION (2025-2030)
- **Option A**: [Path with outcomes]
- **Option B**: [Path with outcomes]
 : [Path with outcomes]


 [Action + impact]
 [Action + impact]
...

---



[Motivating conclusion with specific next step]

---



(Full 16-lens analysis and recommendations follow in the same file.)

File Creation Process

Step 1: Complete full analysis following all 16 lenses and phases Step 2: Assemble the Executive Summary plus PARTS 0-6 into one consolidated document Step 3: Save to {config.directories.career_analysis}/change_one_thing_{YYYYMMDD}.md using the Write tool Step 4: Inform the user of the single file path created

Quality Control

• Token counting: Executive Summary section MUST be <=6,000 tokens (approximately 4,500-5,000 words)
• File naming: Use YYYYMMDD format (e.g., 20260423 for April 23, 2026)
• Completeness: Executive Summary plus all six PARTs must appear in the single output file
• Evidence: Every quantified claim must cite specific resume data with dates
• Actionability: "What You Can Still Do Now" section must be executable this week

---

EXECUTION ORDER:

1. Conduct analysis following all frameworks
2. Assemble Executive Summary plus PARTS 0-6 into one document
3. Save to {config.directories.career_analysis}/change_one_thing_{YYYYMMDD}.md
4. Confirm to user the file path created