🕵️ 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 AnalyticsKnown data gaps: our Idox scrape covers Gateshead, Sunderland, and Northumberland from late 2023 onwards. Newcastle Upon Tyne data is NOT in our corpus (the council's planning portal blocks IONOS shared-hosting IPs). If you're looking for a Newcastle case officer, their decisions won't appear here even if the officer name matches.
🕵️ Matthew Duigan · Lambeth
📊 Application Type Breakdown
| Application Type | Total | Approved | Refused | Other | Approval Rate |
|---|---|---|---|---|---|
| Unknown | 9 | 9 | 0 | 0 |
⏱️ Decision Speed Distribution
📋 Decision History (9 most recent)
| Reference | Address | Type | Decision | Date | Days |
|---|---|---|---|---|---|
| 26/01850/RG3 | — | Approved | 29 Jul 2026 | 41 | |
| 26/01842/DET | — | Approved | 27 Jul 2026 | 35 | |
| 26/01358/DET | — | Approved | 24 Jun 2026 | 56 | |
| 26/01477/DET | — | Approved | 23 Jun 2026 | 40 | |
| 26/01642/DET | — | Approved | 16 Jun 2026 | 13 | |
| 26/01260/DET | — | Approved | 12 Jun 2026 | 52 | |
| 26/01476/DET | — | Approved | 12 Jun 2026 | 29 | |
| 26/01556/DET | — | Approved | 11 Jun 2026 | 20 | |
| 26/01555/DET | — | Approved | 10 Jun 2026 | 19 |
🧠 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.