Why Single-Metric Evaluation Fails
Most investors evaluate a multifamily deal by asking: "What's the projected IRR?"
That's the wrong question to start with. A 22% projected IRR on a bridge loan deal in a declining market with a first-time operator and an aggressive rent growth assumption is not the same investment as a 14% projected IRR on a stabilized asset with institutional-grade debt and a sponsor who has exited 12 comparable deals.
The return projection is the sponsor's best-case narrative. Scoring across three dimensions gives you the actual investment.
The Three-Dimension Framework
Serious multifamily investors — and SkAI's automated deal analysis engine — evaluate every deal across three independent axes:
- Deal Quality — Is the underlying asset worth what they're paying?
- Sponsor Credibility — Does this team have the experience to execute?
- Structural Risk — Are the legal and financial terms fair and survivable?
Each dimension scores independently. A deal can be excellent on two and dangerous on one — and a single dimension below threshold should give you pause, regardless of the others.
Dimension 1: Deal Quality
Deal quality answers: Would a sophisticated buyer with no synergistic pressure pay this price for this asset?
Purchase price vs. market
Current cap rate on in-place NOI — what does the property actually earn today, before any value-add? If you're buying at a 3.8% cap in a 5.5% market, you need a very clear path to justify the premium.
Comparable sales — what have similar assets transacted at in the last 12 months? Cap rate compression or expansion trends matter here.
Price per unit vs. replacement cost — are you buying below what it would cost to build? If not, why would a developer sell to you instead of a homebuilder?
Rent and occupancy assumptions
Current vs. market rent — what is the sponsor's stated rent premium compared to stabilized comps? A deal claiming 25% rent growth through a light renovation in a market where comps show 8% is a projection risk.
Physical vs. economic vacancy — physical vacancy counts empty units. Economic vacancy accounts for loss-to-lease, bad debt, and concessions. The economic vacancy is what actually affects your returns, and sponsors often present the more flattering physical number.
Absorption timeline — how long does it realistically take to lease up renovated units? A 90-day assumption in a 9% vacancy market is aggressive.
Value-add thesis viability
Renovation scope vs. budget — is the capex budget realistic for the work described? In the current construction environment, $12,000/unit kitchen renovations in major metros are routinely delivered at $18,000+.
Existing tenant base — if the value-add requires rent increases of 30%+, what happens to existing tenants? Turnover costs, loss-to-lease periods, and potential eviction costs are often understated.
Market rent ceiling — is there a ceiling in this submarket that caps upside? Rent growth assumptions must be bounded by what tenants in that income bracket can actually pay.
Dimension 2: Sponsor Credibility
Deal quality is necessary but insufficient. The best asset in the wrong hands is still a risk.
Directly relevant experience
"Relevant" is narrower than most sponsors present it. Specifically:
- Asset class match — a track record in suburban garden-style apartments doesn't directly transfer to urban mid-rise or affordable housing
- Market experience — operating in Dallas is different from operating in Pittsburgh, even if the deal type is the same
- Deal scale — successfully managing a 40-unit property doesn't prove competence at 250 units
- Hold period match — operators who've only executed 2-year flips may underestimate the complexity of 7-year value-add holds
When evaluating track record, look for exited deals comparable to this one, not total transaction volume.
Transparency and disclosure
How does the sponsor handle uncomfortable information? Look for:
- Fee disclosure completeness — are all fees disclosed in one place, or scattered across documents?
- Risk factor specificity — are the risk factors generic legal boilerplate, or specific to this deal and market?
- Prior performance disclosure — do they show you actual returns from completed investments, not just the highlights?
- Communication track record — can you find investor updates from prior deals? How did they communicate when things went wrong?
Alignment of interests
A sponsor who invests their own capital alongside LPs is signaling something. A sponsor who collects a 3% acquisition fee, 2% annual management fee, and a promote — while contributing no equity — has a very different incentive structure.
Look for: co-investment amount, promote structure (only profitable if investors hit hurdle), and whether the sponsor's compensation is front-loaded (fees) or back-loaded (equity returns).
Dimension 3: Structural Risk
The best deal with great sponsors can still have structural terms that expose investors to disproportionate downside.
Debt structure
This is the single most common source of deal failure in the 2022–2024 cycle:
Floating vs. fixed rate — floating rate debt that made sense at 3% became catastrophic at 7%. If the current offering uses floating rate debt, the rate cap terms matter enormously: what rate, for how long, and who holds it?
Bridge vs. permanent — bridge debt has a fixed maturity. If the business plan takes longer than expected (it usually does), does the deal have extension options? At what cost? Is there recourse if extension conditions aren't met?
LTV and coverage ratios — what's the loan-to-value at purchase, and what's the debt service coverage ratio at current NOI? Low DSCR (below 1.15x) at entry leaves no margin for operational variance.
Waterfall structure
The waterfall defines how profits are split between LPs and the GP. The details matter:
- Preferred return hurdle — what rate must investors clear before the sponsor earns a promote?
- Catch-up provision — once the hurdle is cleared, does the sponsor catch up to a retroactive promote, or do investors keep everything until the catch-up is satisfied?
- Promote tiers — does the promote increase at higher return thresholds? (This aligns incentives well)
- Return of capital timing — does return of capital happen before or after the promote calculation?
A seemingly standard "8% preferred, 70/30 split" can be investor-friendly or sponsor-friendly depending entirely on the catch-up mechanics.
Investor protections
- Key man provisions — what happens if the lead sponsor leaves?
- Removal rights — can LPs remove the GP for cause?
- Reporting requirements — quarterly? Audited annual financials?
- Exit rights — any provisions for investor liquidity before the hold period ends?
- Dilution protection — if additional capital is raised, what are existing LP rights?
Putting It Together: The Scoring Matrix
Each dimension scores on a scale. No single metric determines the rating — it's the pattern across all three.
| Dimension | Strong | Adequate | Concerning |
|---|---|---|---|
| Deal Quality | Below market cap rate, conservative assumptions | At-market pricing, realistic projections | Premium pricing, aggressive assumptions |
| Sponsor Credibility | Multiple relevant exits, full disclosure | Some relevant experience, reasonable transparency | First deal of type, limited disclosure |
| Structural Risk | Fixed debt, investor-aligned waterfall, strong protections | Moderate leverage, standard terms | Floating debt, heavy promote, weak protections |
A deal scoring "Concerning" on any single dimension deserves serious scrutiny before committing capital. A deal scoring "Concerning" on two dimensions is a pass — regardless of the projected IRR.
See It Live with SkAI
SkAI applies this three-dimension framework to every deal you upload — automatically, in 90 seconds.
Try the sample analysis to see how a real multifamily deal scores across all three dimensions. You'll see exactly which assumptions are aggressive, where the structural risk lies, and how the sponsor's track record aligns with the deal being presented.
Or upload your own deal directly. The first analysis is free.
Score your next multifamily deal →
The difference between good deals and great ones isn't always obvious in the projections. It's in the three dimensions.
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