June Taylor.
Last recorded decision Aug 2022 — no decisions in this record since
A case officer at Brent with an approval rate of 49% across 45 decided planning applications, spanning 15 wards.[1] Decision speed and appeal performance publish when decision notices are ingested.
Topic mentions per 1,000 words of their own report text (boilerplate stripped), indexed against all parsed Brent reports. Attention, not stance.
Mark = borough average (1×). Bar capped at 2×.
“(Note this assessment is based on independent measurements by officers, which use a scaling factor of 5/4.58 to correct the shrinkage caused in creating PDF versions and are approximate).”
20/1528
“This is labelled on the plans as 80.7sqm in area, but has been independently measured at 73sqm, which falls below the minimum standard.”
21/0003
Measured from 47 published Brent officer reports written by this officer, with recited policy boilerplate stripped before any counting. These describe how this officer works and writes — they are not outcome predictions. Every quote is from a named public report.
The policies this officer cites most in their own reports — times cited across 47 parsed reports. Whether refusals citing each survive appeal isn't traced per policy yet.
Show all 15 rows
Where this officer's caseload concentrates, 2020–22.[1] Click the map above to focus this page on a ward, or a row to open the ward.
- [1]Applications decided, approval rate, per-year trend and ward breakdown — London Borough of Brent planning register and published decision notices, 2020–22. · methodology
- [2]Appeal overturn and decision-time benchmarks — Planning Inspectorate (PINS) appeal decisions and application date pairs; not yet computed per officer, shown as a dash until they are. · PINS appeals casework
- [3]Condition load — Brent's decision-notice parsing is limited coverage, so no borough or officer figure is shown.
- [4]"How this officer decides", the policy playbook and all quotes — parsed from 47 published Brent officer reports written by this officer, recited policy boilerplate stripped before counting; disposition text coded from their own reasoning with every quote machine-verified verbatim. Descriptive of how they work — not outcome predictions.