🕵️ 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🕵️ Julie Hughes · Brent
📊 Application Type Breakdown
| Application Type | Total | Approved | Refused | Other | Approval Rate |
|---|---|---|---|---|---|
| Unknown | 29 | 29 | 0 | 0 |
⏱️ Decision Speed Distribution
📋 Decision History (29 most recent)
| Reference | Address | Type | Decision | Date | Days |
|---|---|---|---|---|---|
| 26/1373 | — | Approved | 21 Jul 2026 | 49 | |
| 26/1397 | — | Approved | 21 Jul 2026 | 46 | |
| 26/1543 | — | Approved | 21 Jul 2026 | 34 | |
| 26/1503 | — | Approved | 15 Jul 2026 | 30 | |
| 26/1504 | — | Approved | 15 Jul 2026 | 30 | |
| 26/1505 | — | Approved | 15 Jul 2026 | 30 | |
| 26/1507 | — | Approved | 15 Jul 2026 | 30 | |
| 26/1419 | — | Approved | 10 Jul 2026 | 32 | |
| 26/1416 | — | Approved | 10 Jul 2026 | 32 | |
| 26/1431 | — | Approved | 10 Jul 2026 | 31 | |
| 26/1444 | — | Approved | 10 Jul 2026 | 30 | |
| 26/1278 | — | Approved | 07 Jul 2026 | 48 | |
| 26/1293 | — | Approved | 07 Jul 2026 | 47 | |
| 26/1318 | — | Approved | 07 Jul 2026 | 42 | |
| 26/1368 | — | Approved | 07 Jul 2026 | 36 | |
| 26/1101 | — | Approved | 19 Jun 2026 | 51 | |
| 26/1227 | — | Approved | 19 Jun 2026 | 35 | |
| 26/1228 | — | Approved | 19 Jun 2026 | 35 | |
| 26/1232 | — | Approved | 19 Jun 2026 | 35 | |
| 26/1265 | — | Approved | 19 Jun 2026 | 31 | |
| 26/1178 | — | Approved | 16 Jun 2026 | 36 | |
| 26/1179 | — | Approved | 16 Jun 2026 | 36 | |
| 26/1226 | — | Approved | 16 Jun 2026 | 32 | |
| 26/1001 | — | Approved | 02 Jun 2026 | 41 | |
| 26/1034 | — | Approved | 02 Jun 2026 | 39 | |
| 26/1045 | — | Approved | 02 Jun 2026 | 39 | |
| 26/1055 | — | Approved | 02 Jun 2026 | 36 | |
| 26/1100 | — | Approved | 02 Jun 2026 | 34 | |
| 26/1112 | — | Approved | 02 Jun 2026 | 32 |
🧠 Strategy Insight
This officer has a high approval rate (100%). They appear to be generally supportive of development. Focus on ensuring your application is policy-compliant and well-presented — straightforward applications should progress smoothly.
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.