PGIntel · The Life Decision Engine

Rankings don't tell you what to do.
We built the opinion.

Four decision engines for the choices that actually matter: the MBA, the move, the property, the client scenario. One shared city + tax + career dataset underneath. Every output has an opinion — Strong, Marginal, Risk, Unsustainable — not a spreadsheet row.

🎓 Career·🛫 Geography·🏠 Asset·💼 Advisor·No signup to try
The problem
Rankings show averages.

FT Top 100. Poets & Quants. Forbes ROI charts. None of them know your pre-MBA salary, your loan, the city you want to land in, the lifestyle you actually want. They rank. They don't decide.

The false fix
Calculators show numbers.

Numbeo, Expatistan, cost-of-living comparators. $X per month in Lisbon vs $Y in Singapore. Accurate. Useless. You still don't know what to do.

Our thesis
You need the opinion.

Same inputs, same outputs as the ranking + calculator tools — but we layer an opinionated decision engine on top. One of four verdicts. A life-simulation you can feel. Brutal insights nobody else surfaces.

Four decisions. One engine.

Pick the decision you're actually trying to make.

All four share the same underlying engine — the 32-city Wealth Fit dataset + residency/tax/comp layer.
The Engine

Six layers of data. One opinion on top.

Every product on this page is a different surface over the same underlying data. That's why the outputs are consistent. That's why when you load MBA Fit and Relocation Fit with the same scenario, the numbers line up. That's why the opinion holds.

City dataset

32 cities with housing anchor $/sqm, effective tax rate, baseline basket (middle, upper-middle, affluent tiers).

Residency & tax

Per-city visa paths with $ thresholds + duration + path to citizenship. Tax regime classifier (zero / territorial / remittance / worldwide), CGT, wealth tax, US-citizen traps.

Career comp

8 MBA post-grad tracks (MBB / T2 Consulting / IB / PE-VC / LDP / Startup / Marketing / Tech) × cities, with base + bonus + signing + p25-median-p75 range.

Promotion curves

Year-by-year comp multipliers per track. Associate → EM (1.35×) → Principal (2.1×) → Partner (3.6×). Not a flat 5% raise.

Everyday price index

Numbeo-style basket of 22 items — beer, eggs, McDonald's combo, 1BR rent, gym, gas — for purchasing-power deltas.

Opinion layer

The verdict classifier, life simulator, brutal-insights rule engine, time-to-wealth narrative. This is what makes the engine opinionated, not just informational.

4
Decision engines
32
Cities tracked
8
MBA career tracks
22
Everyday price items
14
Insight-rule library
30yr
Wealth horizon
Data sources
INSEAD · IMD · LBS employment reports (2023-24) · Transparent Career · Levels.fyi · Wall Street Oasis · Glassdoor · Numbeo cost-of-living · Savills / Knight Frank property indices · National tax authority publications · Immigration bureau public documents
Start with the flagship

We built the opinion.
See if yours actually pays off.

Pick your MBA scenario. Three inputs, one verdict. Three minutes to find out whether the INSEAD dream holds up under IB London comp, Marketing Madrid tax regime, or Dubai zero-tax arbitrage.