PermitIQ
Vol. 1 · No. 1Boston · Jun 2026

Know if you will win,
before you file.

The Boston Zoning Board of Appeals has decided 15,051 development applications since 2020. PermitIQ is a machine-learning model trained on every one of them, and on the 444 hearing videos whose minutes we transcribed and parsed. For any Boston parcel, it returns a calibrated approval probability — and an auditable account of which features moved the prediction and by how much.

A typical filing costs an applicant $30,000 to $100,000 in legal, architectural, and expediter fees before the Board votes. PermitIQ is $99, used before that money is spent.

§ 1

What it does.

For any Boston parcel, PermitIQ returns a calibrated probability of approval at the Zoning Board of Appeals — explained, sourced, and comparable across the city. The model is not a black box. Every prediction is accompanied by SHAP-decomposed drivers: which features moved the result, and by how much.

Recent docket

A snapshot of decisions from a single June 2024 hearing. Every case in the corpus has a case number, a parcel, a board, an outcome — and now, a probability we could have given the applicant in advance.

CaseWardVariancesOutcome
BOA-157705822Height · FAR · Rear setback · ParkingAPPROVED
BOA-156366801Height · FAR · Rear & side setbackAPPROVED
BOA-155010707FAR · Lot area · ParkingAPPROVED
BOA-154261521Height · FAR · Lot area · SetbacksAPPROVED
BOA-154836102Height · FAR · Side setbackAPPROVED
BOA-157550512FAR · Lot area · Front & side setbackAPPROVED
BOA-155472305Conditional use · NonconformingAPPROVED
BOA-157205919Height · FAR · Lot area · Open spaceAPPROVED

Source: City of Boston ZBA decisions, June 2024.

§ 2

A worked example.

Take a four-story residential addition at 753 East Broadway, South Boston (Ward 5). The applicant intends to request a side-yard reduction and a conditional-use designation. PermitIQ's reading, computed before any filing fee has been paid:

Probability of approval
73%±6%

Calibrated. The figure is 13 points below Ward 5's 86% baseline — the side-yard ask costs the applicant meaningful odds despite an otherwise favorable record at this address.

Confidence: good. Based on 412 similar cases.

Driving features (SHAP)
Side-yard reduction (15%)
-8 pp
Ward 5 historical approval rate
+11 pp
Attorney win rate, last 24 months
+7 pp
Direct-abutter opposition score
-6 pp
Hearing month: September
+3 pp
Conditional-use designation
+4 pp
Model: gradient-boosted, isotonic-calibrated, forward-validated. Reading from June 2026 model snapshot.Run this on your parcel →
§ 3

Methodology.

The model is a gradient-boosted classifier (XGBoost) trained only on signals known before a hearing — the variances requested, use and project type, whether an attorney is engaged, and ward / zoning historical approval rates. It is isotonic-calibrated so the probabilities are meaningful, and validated with parcel-grouped cross-validation — no parcel appears in both training and test, so the score reflects genuinely unseen filings. Forward AUC: 0.62 (held-out 0.70). Brier score: 0.06. With a ~90% city-wide approval base rate this is a directional risk signal — it reliably separates higher- from lower-risk filings and shows you why, but it is not a guarantee.1

Source materials
  • Boston ZBA decision letters (OCR via Google Cloud Vision)
  • Hearing video transcripts (Whisper)
  • Boston Open Data: parcels, permits, violations, complaints, crime, transit, census
  • FEMA flood zone & sea-level-rise overlays
  • Property assessment records (FY 2026)
  • Cherry-Hill ZBA tracker (filing dates, hearing dates)
Features — 96 of them, every one auditable.

The feature set spans ward history, attorney track record, variance complexity, zoning context, neighborhood opposition, and transcript-derived hearing-climate signals. Sixteen candidate features were dropped at training time after they were identified as post-hearing leakage — they encoded information the applicant could not have known before the Board voted.2

Explainability is not optional.

Every prediction surfaces the top eight SHAP-decomposed drivers with direction and magnitude. The applicant sees not only the probability, but a defensible account of why the model arrived there. The expectation is informed disagreement, not blind trust.

Updated weekly.

The Boston Open Data feeds and the ZBA decision corpus refresh every Sunday at 2 AM ET. The model retrains automatically when new decisions arrive, and the calibration is checked on rolling windows.

1 AUC = area under the receiver-operating-characteristic curve. Brier = mean squared error of predicted probabilities against outcomes. ECE = expected calibration error.

2 The leakage analysis is documented in the project README; the dropped features are listed by name in train_model_v2.py.

§ 4

How to use it.

Three modes of use, in roughly increasing depth:

  1. i
    A single parcel prediction.

    Type an address. Receive a calibrated probability with the driving SHAP features. Free, no signup. /predict →

  2. ii
    A full hearing-prep report.

    Adds opposition risk for the neighborhood, attorney recommendations ranked against your specific variance types, board member voting tendencies for the panel hearing your case, and filing-timing analysis. $99 per parcel. /intelligence →

  3. iii
    Programmatic access for portfolios.

    For developers, brokers, and law firms working across many parcels. REST API, batch endpoints, white-label reports, audit logs. Pro from $499/mo; Agency by conversation. /pricing →

Subscribe

The Boston Zoning Digest.

One short letter, every Friday.

New ZBA decisions, attorney win-rate movement, parcels whose approval odds shifted this week, and the variances most likely to be denied next cycle.

§ 5 — Pricing

One report could save you fifty thousand dollars.

A typical Boston ZBA filing costs $30K – $100K in legal, architectural, and expediter fees. PermitIQ is $99, used before any of that is spent.

PermitIQ provides statistical risk assessment of public zoning data. It is not legal advice, does not guarantee any outcome, and is not a substitute for engaging a qualified Boston zoning attorney. The model reports calibrated probabilities; individual cases vary.