5 Underwriting Bottlenecks That Cost You Deals (and How to Clear Each)
The slow part of acquisitions is rarely the analysis. It is the mechanical work between an offering memorandum landing and a defensible number coming out. Here are the five bottlenecks that eat that time, and how to remove each.
Ask an acquisitions team what limits how many deals they can screen, and almost nobody says "our analysis is not good enough."
The constraint is time. And the time does not go where you would expect. It goes into the mechanical work that surrounds the analysis: preparing the deliverable, entering the data, chasing the comps.
The thinking is fast. The plumbing is slow.
Here are the five bottlenecks that eat the hours between an offering memorandum hitting your inbox and a decision coming out, and how to clear each one.
1. Preparation: the deliverable takes longer than the analysis
Pulling together a presentable investment thesis, a summary, and a memo quickly is a lot of work, whether you are socializing an opportunity with investors or defending pricing back to a broker.
The number is often ready hours before the document that communicates it.
The fix is to stop treating the deliverable as a separate project. When the IC memo, the LOI, and the one-page summary are generated directly from the underwriting itself, the document becomes a byproduct of the work rather than a second job that starts after it.
2. Confidence: too many assumptions, no objective read
An underwriting model carries dozens of assumptions, and when they compound they can make a deal look far better or worse than it is.
That produces false confidence in both directions: chasing deals that do not deserve it, and passing on deals that were worth a second look.
The fix is a consistent, rules-based score that grades every deal on the same axis. A relative, objective number does not replace judgment. It anchors it, and it turns the comparison between this deal and the last forty into an actual comparison rather than a memory test.
3. Speed: repetitive data entry that costs real money
Manual data entry, formatting rent rolls, coding T12 financials, keying in debt terms.
These are repetitive tasks that consume time and energy and cost real dollars of human capital, and none of them require the skill you actually hired for.
The fix is deterministic parsing: an engine that ingests the rent roll, the financials, and the offering memorandum and auto-populates the model. Done right, work that used to take more than an hour of keying collapses into about thirty seconds and a few clicks of review.
4. Cost: deal flow scales, but headcount should not have to
People cost money, and most real estate operating businesses gain little efficiency in unit cost as deal flow grows. Buy more deals, hire more people.
The math works against volume precisely when volume is the goal.
The fix is leverage on the workflow, not just on the balance sheet. A pipeline with an analytics view, a multi-deal comparison tool, and a rent comp library lets one analyst carry more deals without the quality slipping. The point is not to remove people. It is to stop tying screening capacity directly to headcount.
5. Rent comps: fast, trustworthy comps are genuinely hard
Sourcing rent comparables quickly and with confidence is one of the hardest parts of the job.
Paid tools often aggregate from other paid tools, and the result is frequently stale or incomplete. That matters, because every rent assumption downstream rests on these numbers.
The fix is to pull comps from the source: a workflow that reads rents directly from property websites, rather than from aggregators, gets you closer to what units are actually leasing for.
The pattern underneath all five
None of these bottlenecks is an analysis problem.
Every one is a mechanical problem sitting between you and the analysis, and mechanical problems are exactly what software removes well. Rebuild net operating income from real documents, score the deal consistently, generate the deliverable from the work, and the hour you get back is the hour you spend deciding.
That is the entire premise of MultiScreen. Import the offering memorandum, the T12, and the rent roll, and the five bottlenecks above become a few minutes of review instead of a day of assembly.
Terms in this post
- Offering Memorandum (OM)
An offering memorandum is the marketing document a broker prepares to sell a commercial property, containing property details, financial statements, rent roll summaries, market data, and a proforma projection.
- Rent Roll
A rent roll is a unit-by-unit schedule of a property's leases showing unit type, square footage, current rent, market rent, lease start and expiration dates, and occupancy status.
- Trailing Twelve (T12)
A trailing twelve is an operating statement showing a property's actual income and expenses for the most recent twelve months, and it is the primary evidence base for underwriting a multifamily acquisition.
- Net Operating Income (NOI)
Net operating income is a property's effective gross income minus all operating expenses, excluding debt service, capital expenditures, depreciation, and income taxes.
- Rent Comparables
Rent comparables are recently leased units at competing properties used to establish the market rent a subject property can achieve, adjusted for differences in size, condition, amenities, and location.
- Investment Committee Memo (IC Memo)
An investment committee memo is the written recommendation presented to a firm's decision-making body, summarizing a deal's thesis, underwriting, risks, and proposed terms in order to obtain approval to proceed.
More reading
- How to Underwrite a Multifamily Deal: A 7-Step Framework
A practical, repeatable framework for underwriting a multifamily acquisition, from rebuilding NOI off the T12 through sizing debt, modeling the business plan, and pressure-testing the exit.
- How to Retrade a Multifamily Deal (Without Burning Your Reputation)
A retrade is a price renegotiation after you are under contract. Done with data and good faith it protects your returns. Done cavalierly it costs you the next ten deals. Here is the art and the science of doing it right.
- Cap Rate vs. Cash-on-Cash vs. IRR: Which Metric Actually Matters
Four return metrics answer four different questions, and using the wrong one is how deals get mispriced. A practical guide to when cap rate, cash-on-cash, IRR, and equity multiple each apply.