🕵️ 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| Case Officer | Decisions | Approval Rate | Avg. Days | Refusals | Active Period | |
|---|---|---|---|---|---|---|
| Zacharia Furst | 9 (0 decided) | 15 days | 0 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Hugh Coggles | 5 (0 decided) | 8 days | 0 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Joseph Parsons | 5 (4 decided) | 43 days | 4 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Bradley Carson | 4 (1 decided) | 15 days | 0 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Lottie Burden | 3 (3 decided) | 38 days | 3 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Tina Oliveira | 2 (1 decided) | 35 days | 1 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Vruti Parmar | 2 (1 decided) | 34 days | 1 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Asha Chhabhaiya | 1 (1 decided) | 56 days | 1 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Thomas Wong | 1 (0 decided) | 18 days | 0 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Joe Davies | 1 (1 decided) | 39 days | 1 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Jonathan Mills | 1 (0 decided) | 7 days | 0 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Daniel Wieder | 1 (1 decided) | 35 days | 1 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Deniss Nikandrovs | 1 (1 decided) | 11 days | 0 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Dominic Duffin | 1 (0 decided) | 22 days | 0 | Jul 2026 — Jul 2026 | Profile → 📨 FOI → | |
| Radhika Bedi | 1 (0 decided) | 21 days | 0 | Jul 2026 — Jul 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.