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← Authority Intelligence

🕵️ Case Officer Intelligence

Go beyond authority-level data. Understand individual case officer behaviour — approval rates, decision speed, refusal patterns, and what they focus on. Intelligence your competitors don't have.

🔒 PlanningCore Exclusive — Deep Officer Behaviour Analytics

🧠 Gateshead Council — refusal-language fingerprint

Full pattern browser →
Refusal themes
design · 27×
highways · 23×
heritage · 11×
green belt · 11×
policy · 7×
amenity · 3×
Top policies cited
Policy CS19 · 13×
Policy CS14 · 9×
Policy MSGP15 · 8×
Policy CS15 · 7×
Policy QB3 · 6×
Policy CS13 · 6×
Top reused phrases
"character and appearance of" · 43×
"the character and appearance" · 38×
"national planning policy framework" · 22×
"the national planning policy" · 19×
"the national planning policy framework" · 18×
"of the national planning policy" · 17×
📋 Gateshead Council uses a structured scoring template
3 formal recommendation options per Urban Design / Consultee response:
  • Refuse
  • Approve
Criteria checklist the officer scores against:
MSGP34 · CS19 · CS15 · MSGP25 · MSGP26 · MSGP24 · CS18 · MSGP37 · MSGP15 · CS16 · CS17 · MSGP29 · MSGP30 · H4 ·
→ Address each criterion explicitly in your Planning Statement / DAS to pre-empt refusal grounds.
💡 PlanningCore goes beyond officer names. See officer intelligence — approval rates, speed, refusal patterns, and strategic advice. Click any officer for their full profile.
Case Officer Decisions Approval Rate Avg. Days Refusals Active Period
Chris Redfern 54 (13 decided)
100%
49 days 0 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Samantha Elsender 36 (30 decided)
93.3%
87 days 2 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Rowshon Uddin 34 (32 decided)
96.9%
132 days 1 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Sarah Howard 31 (30 decided)
96.7%
98 days 1 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Richard Smith 27 (22 decided)
90.9%
109 days 2 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Amy Dunbar 24 (18 decided)
88.9%
146 days 2 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Adam Ali 22 (20 decided)
80%
196 days 4 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Josh Kenolty 17 (12 decided)
91.7%
149 days 1 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Mark O'Sullivan 16 (12 decided)
75%
86 days 3 Mar 2026 — Jul 2026 Profile → 📨 FOI →
David Morton 15 (13 decided)
100%
340 days 0 Apr 2026 — Jul 2026 Profile → 📨 FOI →
Rebecca Norman 15 (15 decided)
100%
105 days 0 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Aimee Gregory 14 (13 decided)
84.6%
123 days 2 Mar 2026 — Jul 2026 Profile → 📨 FOI →
James Hudson 14 (9 decided)
77.8%
94 days 2 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Joanne Munton 10 (10 decided)
100%
235 days 0 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Amy Williamson 9 (7 decided)
57.1%
48 days 3 Mar 2026 — Jul 2026 Profile → 📨 FOI →
Tracy Long 6 (4 decided)
100%
127 days 0 Apr 2026 — Jul 2026 Profile → 📨 FOI →
William McKane 3 (3 decided)
100%
137 days 0 Apr 2026 — Jun 2026 Profile → 📨 FOI →
Haley Marron 1 (1 decided)
100%
227 days 0 Jun 2026 — Jun 2026 Profile → 📨 FOI →

What Makes This Different

📊 Officer Approval Rates

See each officer's personal approval rate, not just the authority average. Know whether your officer approves 95% or 65% of applications.

PlanningCore Exclusive

⏱️ Decision Speed Profile

Average days to decision per officer. Know if your officer is fast (under 8 weeks) or chronically slow — and plan your timeline accordingly.

Officer-level granularity

🚫 Refusal Pattern Analysis

What does this officer refuse on most? Design? Highways? Amenity? Heritage? Know their focus areas and address them proactively.

Deep refusal analytics

⚖️ Appeal Overturn Rate

How often are this officer's refusals overturned on appeal? A high overturn rate suggests the officer is too strict — useful for your appeal strategy.

Appeal data linked to officers

🏛️ Committee vs Delegated Split

Does this officer usually decide under delegated powers, or do their cases end up at committee? Different preparation needed for each route.

Committee/delegated tracking

🧠 Strategic Advice

Based on the officer's patterns, get tailored advice: what to emphasise in your planning statement, what issues to pre-empt, and how to frame your scheme.

AI-powered strategy layer

📡 Data Pipeline

Officer intelligence is generated from planning application decision data. As more authorities are ingested into PlanningCore, officer profiles become richer and more accurate.

📊 Data sources & freshness
  • planning_applications.case_officer (updated Daily ingest)
    Live ingest from LPA portals (Idox + Civica + Northgate). Coverage varies by council — leading LPAs publish on every record, others publish only on committee reports.
  • Approval rate calculation
    approvals / (approvals + refusals) per officer. Withdrawn and pending applications are excluded.
  • Date window
    Stats reflect the entire decision history for the officer, not a rolling window. Recent volume changes can shift the averages.
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