II. Decision Science · Volume II

Simulate the decision before you live it.

Monte Carlo simulators and multi-variable calculators for life's biggest forks — career, education, relocation, and life transitions. Grounded in prospect theory, regret minimization, and behavioral economics.

3 Tools live
10K+ Simulations per decision
0 Data stored
§I. The Tools

Not advice. Arithmetic.

Every tool turns a gut-check into a multi-variable simulation. The output isn't a verdict — it's a structured view of what you're already weighing.

Tool 001 · Flagship · Live

Should I quit?

A Monte Carlo decision tool for the stay-or-leave question. Integrates the Copenhagen Burnout Inventory (Kristensen 2005), Work and Meaning Inventory (Steger 2012), and validated turnover research. Runs 10,000 simulated futures for both paths across 3, 5, or 10-year horizons — with archetype matching, regret minimization, and research-backed pathway recommendations.

Foundation CBI · WAMI · Monte Carlo
Method LBL-SIQ v1.0
Output 6 archetypes + distributions
Open tool
Tool 002 · Live

Career pivot decision matrix

A 6-domain weighted comparison of your current role and the pivot you're considering — plus a calibration check on how informed your evaluation actually is. Implementation draws on multi-attribute utility theory (Hammond, Keeney & Raiffa 1999), career capital theory (Arthur, Khapova & Wilderom 2005), and decision-quality research. The 5×5 recommendation grid surfaces the high-score-low-readiness trap that contributes to many failed pivots.

Foundation MAUT · Career capital · Decision quality
Method 22 inputs · 5–7 min
Tool 003 · Flagship · Live

Career choice signature

Maps how you naturally create value at work across nine value-creation modes and six operating conditions, then names your Value Signature, a Coherence score, and one of eleven archetypes. A portable lens for any role rather than a job-matching engine, drawing on career-construction theory (Savickas), work design (Hackman & Oldham), behavioral economics, and human-capital research. Free to take; an optional in-depth report reads your exact signature.

Foundation Career construction · Work design · Human capital
Method LBL-CCS v1.0 · 41 items
Output 11 archetypes + Value Signature
Open tool
§II. Methodology

How Crossroads tools are built.

Three principles shape every simulator in this laboratory. They are what separates decision arithmetic from opinion dressed in numbers.

i.

Ranges, not verdicts

Real decisions involve uncertainty. Every tool runs thousands of Monte Carlo simulations to produce a range of likely outcomes — not a false-precision single answer. You see the shape of the decision, not a false verdict.

ii.

Behaviorally aware

Our models account for known cognitive distortions — loss aversion, sunk-cost thinking, hedonic adaptation, planning fallacy — rather than assuming you're a rational agent. The tools are more honest because they acknowledge you aren't.

iii.

Published foundations

Every weight, every distribution, every assumption traces back to peer-reviewed research — Kahneman & Tversky, Maslach, Bureau of Labor Statistics cohort data, Harvard Business Review longitudinal studies. Cited inline, not hidden.

§III. Documentation

Read the methodology.

Each tool publishes its full methodology under its own page — the validated framework, the variables measured, the algorithm, the limitations, and the peer-reviewed references behind every claim.

§III. Continue Reading

Other laboratories in the publication.

LifeByLogic is organized into four labs, each focused on a different dimension of the examined life.

More decision tools are in active development — Career Switch ROI, Big Move Simulator, Grad School Worth It?, and Side Hustle Viability are all on the roadmap. Follow The Brain Matters to hear when they ship.

FAQ. Common Questions

Frequently asked questions.

What does the Crossroads Lab help with?

The Crossroads Lab houses multi-variable simulators and decision-support tools for the high-stakes forks in life: career switches, relocations, quitting a job or relationship, retirement timing, and other major life transitions where the right answer depends on many interacting factors.

Is this financial advice?

No. Crossroads Lab tools are educational decision support, not professional advice. They model patterns based on the inputs you provide and the documented methodology of each tool. They do not prescribe choices, do not constitute personalized advice, and do not replace consultation with a qualified professional who knows your specific situation. See our Disclaimer.

How are decision tools different from advice columns?

Advice columns give you one answer based on a stranger's reading of your situation. Crossroads tools give you a structured way to think through your own situation: you provide the inputs, the tool surfaces the patterns implied by peer-reviewed decision research. The output is a frame for your own reflection, not a verdict.

What research informs the methodology?

Tools draw from stay-vs-go decision research, Monte Carlo financial planning methods, multi-attribute utility theory, and the specific peer-reviewed literature for each domain (career change, retirement timing, relocation). Citations and methodology are published on each tool page.

Who reviews the analytical models?

The analytical modeling and results-analysis logic of every Crossroads Lab tool is independently reviewed by Eskezeia Y. Dessie, PhD — Research Fellow at Indiana University School of Medicine, specializing in computational modeling and predictive analytics. See our About page for reviewer details.